ORIGINAL_ARTICLE
Clean and Polluting DG Types Planning in Stochastic Price Conditions and DG Unit Uncertainties
This study presents a dynamic way in a DG planning problem instead of the last static or pseudo-dynamic planning point of views. A new way in modeling the DG units’ output power and the load uncertainties based on the probability rules is proposed in this paper. A sensitivity analysis on the stochastic nature of the electricity price and global fuel price is carried out through a proposed model. Six types of clean and conventional DG units are included in the planning process. The presented dynamic planning problem is solved considering encouraging and punishment functions. The imperialist competitive algorithm (ICA) as a strong evolutionary strategy is employed to solve the DG planning problem. The proposed models and the proposed problem are applied on the 9-bus and 33-bus test distribution systems. The results show a significant improvement in the total revenue of the distribution system in all of the defined scenarios.
http://joape.uma.ac.ir/article_429_31af2c8f9d36b44177d88446d37df2e3.pdf
2016-06-01T11:23:20
2017-11-23T11:23:20
1
15
Distributed generation
Investment time
Dynamic programming
Uncertainty
Monte carlo simulation
M.
Sadeghi
mahmood.sadeghi@gmail.com
true
1
Center of Excellence for power system automation and operation, Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
Center of Excellence for power system automation and operation, Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
Center of Excellence for power system automation and operation, Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
LEAD_AUTHOR
M.
Kalantar
ad@gmail.com
true
2
Center of Excellence for power system automation and operation, Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
Center of Excellence for power system automation and operation, Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
Center of Excellence for power system automation and operation, Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
AUTHOR
[1] J. Jung, A. Onen, K. Russell and R. P. Broadwater, "Local steady-state and quasi steady-state impact studies of high photovoltaic generation penetration in power distribution circuits," Renewable and Sustainable Energy Reviews, vol. 43, pp. 569-583, 2015.
1
[2] V. V. S. N. Murty and A. Kumar, "Optimal placement of DG in radial distribution systems based on new voltage stability index under load growth," International Journal of Electrical Power & Energy Systems, vol. 69, pp. 246-256, 2015.
2
[3] A. H. Allahnoori and S. K. M. Keyhani , "Reliability assessment of distribution systems in presence of microgrids considering uncertainty in generation and load demand," Journal of Operation and Automation in Power Engineering, vol. 2, pp. 113-120, 2014.
3
[4] S. Kaur, G. Kumbhar and J. Sharma, "A MINLP technique for optimal placement of multiple DG units in distribution systems," International Journal of Electrical Power & Energy Systems, vol. 63, pp. 609-617, 2014.
4
[5] M. M. Aman, G. B. Jasmon, A. H. A. Bakar and H. Mokhlis, "A new approach for optimum simultaneous multi-DG distributed generation units placement and sizing based on maximization of system loadability using HPSO (hybrid particle swarm optimization) algorithm," Energy, vol. 66, pp. 202-215, 2014.
5
[6] C. Liu, T. Tsuji and T. Oyama, "Power loss minimization considering short-circuit capacity in distribution system with decentralized distributed generation," IEEJ Transactions on Electrical and Electronic Engineering, vol. 7, pp. 471-477, 2012.
6
[7] V. A. Evangelopoulos and P. S. Georgilakis, "Optimal distributed generation placement under uncertainties based on point estimate method embedded genetic algorithm," IET Proceedings on Generation, Transmission & Distribution, vol. 8, pp. 389-400, 2014.
7
[8] M. Sadeghi and M. Kalantar, "The analysis of the effects of clean technologies from economic point of view," Journal of Cleaner Production, vol. 102, pp. 394-407, 2015.
8
[9] C. A. Penuela Meneses and J. R. Sanches Mantovani, "Improving the grid operation and reliability cost of distribution systems with dispersed generation," IEEE Transactions on Power Systems , vol. 28, pp. 2485-2496, 2013.
9
[10] B. Mohammadi-Ivatloo, A. Mokari, H. Seyedi and S. Ghasemzadeh, "An improved under-frequency load shedding scheme in distribution networks with distributed generation," Journal of Operation and Automation in Power Engineering, vol. 2, pp. 22-31, 2007.
10
[11] R. Hemmati, R.-A. Hooshmand and N. Taheri, "Distribution network expansion planning and DG placement in the presence of uncertainties," International Journal of Electrical Power & Energy Systems, vol. 73, pp. 665-673, 2015.
11
[12] W. Zhaoyu, C. Bokan, W. Jianhui, K. Jinho and M. M. Begovic, "Robust optimization based optimal DG placement in microgrids," IEEE Transactions on Smart Grid, vol. 5, pp. 2173-2182, 2014.
12
[13] K. Sung-Yul, K. Wook-won and O. K. Jin, "Determining the optimal capacity of renewable distributed generation using restoration methods," IEEE Transactions on Power Systems , vol. 29, pp. 2001-2013, 2014.
13
[14] N. R. Battu, A. R. Abhyankar and N. Senroy, "DG planning with amalgamation of economic and reliability considerations," International Journal of Electrical Power & Energy Systems, vol. 73, pp. 273-282, 2015.
14
[15] S. Mallikarjun and H. F. Lewis, "Energy technology allocation for distributed energy resources: A strategic technology-policy framework," Energy, vol. 72, pp. 783-799, 8/1/ 2014.
15
[16] S. Cheng, M.-Y. Chen and P. J. Fleming, "Improved multi-objective particle swarm optimization with preference strategy for optimal DG integration into the distribution system," Neurocomputing, vol. 148, pp. 23-29, 2015.
16
[17] Y. M. Atwa, E. F. El-Saadany, M. M. A. Salama and R. Seethapathy, "Optimal renewable resources mix for distribution system energy loss minimization," IEEE Transactions on Power Systems, vol. 25, pp. 360-370, 2010.
17
[18] H. Siahkali and M. Vakilian, "Stochastic unit commitment of wind farms integrated in power system," Electric Power Systems Research, vol. 80, pp. 1006-1017, 2010.
18
[19] E. Atashpaz-Gargari and C. Lucas, "Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition," in Proceedings of the IEEE Congress on Evolutionary Computation, pp. 4661-4667, 2007.
19
[20] M. Abdollahi, A. Isazadeh and D. Abdollahi, "Imperialist competitive algorithm for solving systems of nonlinear equations," Computers & Mathematics with Applications, vol. 65, pp. 1894-1908, 2013.
20
[21] M. A. Ahmadi, M. Ebadi, A. Shokrollahi and S. M. J. Majidi, "Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir," Applied Soft Computing, vol. 13, pp. 1085-1098, 2013.
21
[22] A. Zangeneh, S. Jadid and A. Rahimi-Kian, "Promotion strategy of clean technologies in distributed generation expansion planning," Renewable Energy, vol. 34, pp. 2765-2773, 2009.
22
[23] M. F. Shaaban, Y. M. Atwa and E. F. El-Saadany, "DG allocation for benefit maximization in distribution networks," IEEE Transactions on Power Systems, vol. 28, pp. 639-649, 2013.
23
[24] P. K. Katti and M. K. Khedkar, "Alternative energy facilities based on site matching and generation unit sizing for remote area power supply," Renewable Energy, vol. 32, pp. 1346-1362, 2007.
24
[25] A. Soroudi and M. Ehsan, "A distribution network expansion planning model considering distributed generation options and techo-economical issues," Energy, vol. 35, pp. 3364-3374, 2010.
25
[26] A. Zangeneh, S. Jadid and A. Rahimi-Kian, "A fuzzy environmental-technical-economic model for distributed generation planning," Energy, vol. 36, pp. 3437-3445, 2011.
26
[27] Historical data of Iran Industrial power from 1980 to 1984.
27
[28] N. Acharya, P. Mahat, and N. Mithulananthan, "An analytical approach for DG allocation in primary distribution network," International Journal of Electrical Power & Energy Systems, vol. 28, pp. 669-678, 2006.
28
ORIGINAL_ARTICLE
Low Voltage Ride Through Enhancement Based on Improved Direct Power Control of DFIG under Unbalanced and Harmonically Distorted Grid Voltage
In the conventional structure of the wind turbines along with the doubly-fed induction generator (DFIG), the stator is directly connected to the power grid. Therefore, voltage changes in the grid result in severe transient conditions in the stator and rotor. In cases where the changes are severe, the generator will be disconnected from the grid and consequently the grid stability will be attenuated. In this paper, a completely review of conventional methodes for DFIG control under fault conditions is done and then a series grid side converter (SGSC) with sliding mode control method is proposed to enhance the fault ride through capability and direct power control of machine. By applying this controlling strategy, the over current in the rotor and stator windings will totally be attenuated without using additional equipments like as crowbar resistance; Moreover, the DC link voltage oscillations will be attenuated to a great extent and the generator will continue operating without being disconnected from the grid. In addition, the proposed method is able to improve the direct power control of DFIG in harmonically grid voltage condition. To validate the performance of this method, the simulation results are presented under the symmetrical and asymmetrical faults and harmonically grid voltage conditions and compared with the other conventional methods.
http://joape.uma.ac.ir/article_424_3eed2c42101dc55cded4f52bbeae8c6b.pdf
2016-06-01T11:23:20
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16
28
DFIG
Sliding Mode Control
Unbalanced Grid Voltage
Low Voltage Ride Through
Ahmadreza
Nafar
ahmad.nafar70@yahoo.com
true
1
Shahrekord Univrsity
Shahrekord Univrsity
Shahrekord Univrsity
AUTHOR
Gholam Reza
Arab Markadeh
arab-gh@eng.sku.ac.ir
true
2
Shahrkord University
Shahrkord University
Shahrkord University
LEAD_AUTHOR
Amir
Elahi
elahiamirsku@gmail.com
true
3
Shahrekord University
Shahrekord University
Shahrekord University
AUTHOR
Reza
pouraghababa
pouraghababa@yahoo.com
true
4
Isfahan Regional Electrical Company
Isfahan Regional Electrical Company
Isfahan Regional Electrical Company
AUTHOR
[1] H. T. Jadhav and R. Roy, “A comprehensive review on the grid integration of doubly fed induction generator,” International Journal of Electrical Power and Energy Systems, vol. 49, pp. 8-18, 2013.
1
[2] M. Tsili and S. Papathanassiou, “A review of grid code technical requirementsfor wind farms,” IET Proceedings on Renewable Power Generation., vol. 3, no. 3, pp. 308-332, 2009.
2
[3] A. Geniusz, S. Engelhardt and J. Kretschmann, “Optimised fault ride through performance for wind energy systems with doubly fed induction generator,” in Proceedings of the European Wind Energy Conference & Exhibition, Brussels, pp. 1-9, 2008.
3
[4] M. Rahimi and M. Parniani, “Grid-fault ride-through analysis and control of wind turbines with doubly fed induction generators,” Electric Power Systems Research, vol. 80, no. 2, pp. 184-195, 2010.
4
[5] A. H. Kasem, E. F. E1-Saadany, H. H. E1-Tamaly and M. A. A. Wahab, “An improved fault ride-through strategy for doubly fed induction generator-based windturbines,” IET Proceedings on Renewable Power Generation, vol. 2, no. 4, pp. 201-214, 2008.
5
[6] J. Vidal, G. Abad, J. Arza and S. Aurtenechea, “Single-phase DC crowbar topologies for low voltage ride through fulfillmentof high-power doubly fed induction generator-based wind turbines,” IEEE Transactions on Energy Conversion, vol. 28, no. 3, pp. 768-781, 2013.
6
[7] L. Peng and Y. Li, “Improved crowbar control strategy of DFIG based wind turbines for grid fault ride-through,” IEEE Transactions on Industrial Electronics, vol. 40, no. 1, pp. 1932-1938, 2009.
7
[8] M. Rahimi and M. Parniani, “Efficient control scheme of wind turbines with doubly fed induction generators for low voltage ride-through capability enhancement,” IET Proceedings on Renewable Power Generation, vol. 4, no. 3, pp. 242-252, 2010.
8
[9] C. Wessels, F. Gebhardt and F. Wilhelm Fuchs, “Fault ride-through of a DFIG wind turbine using a dynamic voltage restorer during symmetrical and asymmetrical grid faults,” IEEE Transactions on Power Electronics, vol. 26, no. 3, pp. 807-815, 2011.
9
[10] O. Abdel, B. Nasiri and A. Nasiri, “Series voltage compensation for DFIG wind turbine low-voltage ride-through solution,” IEEE Transactions on Energy Conversion, vol. 26, no. 1, pp. 272-281, 2011.
10
[11] E. El-Hawatt, M.S. Hamad, K.H. Ahmed and I.F. El Arabawy, “Low voltage ride-through capability enhancement of a DFIG wind turbine using a dynamic voltage restorer with adaptive fuzzy PI controller,” in Proceedings of the International Conference on Renewable Energy Research and Applications, Spain, pp. 1234-1239, 2013.
11
[12] I. Spyros, G. kavanoudis and C. S. Demoulias, “FRT capability of a DFIG in isolated grids with dynamic voltage restorer and energy storage,” in proceedings of the IEEE 5th International Symposium on Power Electronics for Distributed Generation Systems (PEDG),pp. 1-8, 2014.
12
[13] B. B. Ambati, P. Kanjiya and V. Khadkikar, “A low component count series voltage compensation scheme for DFIG WTs to enhance fault ride-through capability,” IEEE Transactions on Energy Conversion, vol. 30, no. 1, pp. 1-10, 2015.
13
[14] L. Yang, Z. Xu, J. Østergaard, Z.Y. Dongand K. P. Wong, “Advanced control strategy of DFIG wind turbines for power system fault ride through,” IEEE Transactions on Power Systems, vol. 27, no. 2, pp. 713-722, 2012.
14
[15] M. Darabian, A. Jalilvand and R. Noroozian, “Combined use of sensitivity analysis and hybrid wavelet-psoanfis to improve dynamic performance of DFIG-based wind generation,” Journal of Operation and Automation in Power Engineering, vol. 2, no. 1, pp. 49-59, 2014.
15
[16] H. Khorramdel, B. Khorramdel, M. Tayebi Khorrami and H. Rastegar, “A multi-objective economic load dispatch considering accessibility of wind power with here-and-now approach,” Journal of Operation and Automation in Power Engineering, vol. 2, no. 1, pp. 60-73, 2014.
16
[17] M. I. Martinez, G. Tapia, A. Susperregui and H. Camblong, “Sliding-mode control for DFIG rotor and grid-side converters under unbalanced and harmonically distorted grid voltage,” IEEE Transactions on Energy Conversion, vol. 27, no. 2, pp. 328-339, 2012.
17
[18] L. Changjin, X. Dehong, Z. Nan, F. Blaabjerg and Ch. Min, “DC-voltage fluctuation elimination through a DC-capacitor current control for DFIG converters under unbalanced grid voltage conditions,” IEEE Transactions on Power Electronics, vol. 28, no.7, pp. 3206-3218, 2013.
18
[19] J. Vidal, G. Abad, J. Arza and S. Aurtenechea, “Single-phase DC crowbar topologies for low voltage ride through fulfillment of high-power doubly fed induction generator-based wind turbines,” IEEE Transactions on Energy Conversion, vol. 28, no. 3, pp. 768-781, 2013.
19
[20] G. Pannell, B. Zahawi, D. J. Atkinson and P. Missailidis, “Evaluation of the performance of a DC-link brake chopper as a DFIG low-voltage fault-ride-through device,” IEEE Transactions on Energy Conversion, vol. 28, no. 3, pp. 535-542, 2013.
20
[21] M. Wang, W. Xu, H. Jia and X. Yu, “A new method for DFIG fault ride through using resistance and capacity crowbar circuit,” in Proceedings of the 2013 IEEE International Conference onIndustrial Technology, pp. 2004-2009, 2013.
21
[22] P. Cheng and H. Nian, “An improved control strategy for DFIG system anddynamic voltage restorer under grid voltage dip,” in Proceedings of the 2012 IEEE International Symposium on Industrial Electronics, pp.1868 -1873, 2012.
22
[23] S. Zhang, K. J. Tseng, S. S. Choi, T. D. Nguyen and D. L. Yao, “Advanced control of series voltage compensation to enhance wind turbine ride through,” IEEE Transactions on Power Electronics, vol. 27, no. 2, pp. 763-772, 2012.
23
[24] P. S. Flannery and G. Venkataramanan, “Evaluation of voltage sag ride-through of a doubly fed induction generator wind turbine with series grid side converter,” in Proceedings of the IEEE Power Electronics Specialists Conference, pp. 1839-1845, 2007.
24
[25] V. Utkin, J. Guldner and J. Shi, “Sliding mode control in electromechanical systems,” London, U.K., Taylor and Francis, 1999.
25
V. Utkin, “Sliding mode control design principles and applications to electric drives,” IEEE Transaction on Industrial Electronics, vol. 40, no. 1, pp. 23-36, 1993.
26
ORIGINAL_ARTICLE
Optimal emergency demand response program integrated with multi-objective dynamic economic emission dispatch problem
Nowadays, demand response programs (DRPs) play an important role in price reduction and reliability improvement. In this paper, an optimal integrated model for the emergency demand response program (EDRP) and dynamic economic emission dispatch (DEED) problem has been developed. Customer’s behavior is modeled based on the price elasticity matrix (PEM) by which the level of DRP is determined for a given type of customer. Valve-point loading effect, prohibited operating zones (POZs), and the other non-linear constraints make the DEED problem into a non-convex and non-smooth multi-objective optimization problem. In the proposed model, the fuel cost and emission are minimized and the optimal incentive is determined simultaneously. The imperialist competitive algorithm (ICA) has solved the combined problem. The proposed model is applied on a ten units test system and results indicate the practical benefits of the proposed model. Finally, depending on different policies, DRPs are prioritized by using strategy success indices.
http://joape.uma.ac.ir/article_423_a3d41768d01674c53b2e23319a2aa79f.pdf
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29
41
Emergency demand response program
Dynamic economic emission dispatch
Imperialist competitive algorithm
Optimal incentive
Strategy success indices
Ehsan
Dehnavi
ehsan_dehnavi70@yahoo.com
true
1
Electrical Engineering Departments, Engineering Faculty, Razi University, Kermanshah, Iran.
Electrical Engineering Departments, Engineering Faculty, Razi University, Kermanshah, Iran.
Electrical Engineering Departments, Engineering Faculty, Razi University, Kermanshah, Iran.
AUTHOR
Hamdi
Abdi,
hamdiabdi@razi.ac.ir
true
2
Razi University (Kermanshah)
Razi University (Kermanshah)
Razi University (Kermanshah)
LEAD_AUTHOR
Farid
Mohammadi
ifaridmohammadi@yahoo.com
true
3
Electrical Engineering Departments, Engineering Faculty, Razi University, Kermanshah, Iran.
Electrical Engineering Departments, Engineering Faculty, Razi University, Kermanshah, Iran.
Electrical Engineering Departments, Engineering Faculty, Razi University, Kermanshah, Iran.
AUTHOR
[1] H. Falsafi, A. Zakariazadeh and Sh. Jadid, “The role of demand response in single and multi-objective wind-thermal generation scheduling: A stochastic programming,” Energy, vol. 64, pp. 853-867, 2013.
1
[2] M. Joung and J. Kim, “Assessing demand response and smart metering impacts on long-term electricity market prices and system reliability,” Applied Energy, vol. 101, pp. 441-448, 2013.
2
[3] A. K. David and Y. C. Lee, “Dynamic tariffs theory of utility-consumer interaction,” IEEE Transactions on Power System, vol. 4, pp. 904-911, 1989.
3
[4] A. K. David and Y. Z. Li, “Effect of inter-temporal factors on the real time pricing of electricity,” IEEE Transactions on Power System, vol. 1, pp. 44-52, 1993.
4
[5] N. Venkatesan, J. Solanki and S. Kh. Solanki, “Residential demand response model and impact on voltage profile and losses of an electric distribution network,” Applied Energy, vol. 96, pp. 84-91, 2012.
5
[6] M. Parvania, M. Fotuhi-Firuzabad and M. Shahidehpour, “Optimal demand response aggregation in wholesale electricity markets,” IEEE Transactions on Smart Grid, vol. 4, pp. 1957-1965, 2013.
6
[7] M. Alipour, K. Zare and B. Mohammadi-Ivatloo, “Short term scheduling of combined heat and power generation units in the presence of demand response programs,” Energy, vol. 71, pp. 289-301, 2014.
7
[8] M. Kazemi, B. Mohammadi-IvatlooandM. Ehsan, “Risk constrained strategic bidding of Gencos considering demand response,” IEEE Transa-ctions on Power Systems, vol. 30.1, pp. 376-384, 2015.
8
[9] M. M. Sahebi, E.A. Duki, M. Kia, A. Soroudi and M. Ehsan, “Simultaneous emergency dem-and response programming and unit commit-ent programming in comparison with interrup-tible load contracts,” IET Generation, Transmi-ssion & Distribution, vol. 6.7, pp. 605-611, 2012.
9
[10] S. Nojavan, B. Mohammadi-Ivatloo and K. Zare, “Optimal bidding strategy of electricity retailers using robust optimization approach considering time of use rate demand response programs under market price uncertainties,” IET Generation, Transmission & Distribution, vol. 9.4, pp. 328-338, 2015.
10
[11] M. Parvania and M. Fotuhi Firuzabad, “Demand response scheduling by stochastic SCUC,” IEEE Transactions on Smart Grid, vol. 1, pp. 89-98, 2010.
11
[12] F. H. Magnago, J. Alemany and J. Lin, “Impact of demand response resources on unit commitment and dispatch in a day-ahead electricity market,” International Journal of Electrical Power and Energy Systems, vol. 68, pp. 142-149, 2015.
12
[13] H. R. Arasteh, M.Parsa Moghaddam, M.K.Sheikh-El-Eslami and A. Abdollahi, “Integrating commercial demand response resources with unit commitment,” Electrical Power and Energy Systems, vol. 51, pp. 153-161, 2013.
13
[14] J. Aghaei and M.I. Alizadeh. “Robust n-k contingency constrained unit commitment with ancillary service demand response program,” IET Generation, Transmission & Distribution, vol. 8, pp. 1928-1936, 2014.
14
[15] Ch. Zhao, J. Wang, J. P. Watson and Y. Guan, “Multi-stage robust unit commitment considering wind and demand response uncertainties,” IEEE Transactions on Power Systems, vol. 28, pp. 2708-2717, 2013.
15
[16] Y. Chen and J. Li. “Comparison of security constrained economic dispatch formulations to incorporate reliability standards on demand response resources into Midwest ISO co-optimized energy and ancillary service market,” Electric Power Systems Research, vol. 81, pp. 1786-1795, 2011.
16
[17] A. Ashfaq, S. Yingyun and A. Zia Khan, “Optimization of economic dispatch problem integrated with stochastic demand side response,” in Proceedings of the IEEE International Conference on Intelligent Energy and Power Systems, pp. 116-121, 2014.
17
[18] N. I. Nwulu and X. Xia, “Multi-objective dynamic economic emission dispatch of electric power generation integrated with game theory based demand response programs,” Energy Conversion and Management, vol. 89, pp. 963-974, 2015.
18
[19] H. Khorramdel, B. Khorramdel, M. T. Khorrami and H. Rastegar, “A multi-objective economic load dispatch considering accessibility of wind power with here-and-now (hn) approach,” Journal of Operation and Automation in Power Engineering, vol. 2, pp. 49-59, 2014.
19
[20] Sh. Jiang, Zh. Ji and Y. Shen, “A novel hybrid particle swarm optimization and gravitational search algorithm for solving economic emission load dispatch problems with various practical constraints,” International Journal of Electrical Power & Energy Systems, vol. 55, pp. 628-644, 2014.
20
[21] D. C. Secui, “A new modified artificial bee colony algorithm for the economic dispatch problem,” Energy Conversion and Management, vol. 89, pp. 43-62, 2014.
21
[22] L. Wang and L.P. Li, “An effective differential harmony search algorithm for the solving non-convex economic load dispatch problems,” International Journal of Electrical Power & Energy Systems, vol. 44 pp. 832-843, 2013.
22
[23] A. Hatefi and R. Kazemzadeh, “Intelligent tuned harmony search for solving economic dispatch problem with valve-point effects and prohibited operating zones,” Journal of Operation and Automation in Power Engineering, vol. 1, pp. 84-95, 2013.
23
[24] L. Benasla, A. Belmadani and M. Rahli, “Spiral optimization algorithm for solving combined economic and emission dispatch,” International Journal of Electrical Power & Energy Systems, vol. 62, pp. 163-174, 2014.
24
[25] A. Gargari, “Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition,” in Proceedings of the IEEE Congress on Evolutionary Computation,pp. 4661-4667, 2007.
25
[26] B. Mohammadi-ivatloo, A. Rabiee, A. Soroudi and M. Ehsan, “Imperialist competitive algorithm for solving non-convex dynamic economic power dispatch,” Energy, vol. 44, pp. 228-240, 2012.
26
[27] R. Roche, L. Idoumghar, B. Blunier, and A. Miraoui. “Imperialist competitive algorithm for dynamic optimization of economic dispatch in power systems,” Springer-Verlag Berlin Heidelberg, vol. 7401, pp. 217-228, 2012,
27
[28] H. Aalami, M. Parsa Moghadam and G. R. Yousefi, “Modeling and prioritizing demand response programs in power markets,” Electric Power System Research, vol. 80, pp. 426-435, 2010.
28
[29] N. Pandita, A. Tripathia, Sh. Tapaswia and M. Panditb, “An improved bacterial foraging algorithm for combined static/dynamic environmental economic dispatch,” Applied Soft Computing, vol. 12, pp. 3500-3513, 2012.
29
[30] A. Abdollahi, M. Parsa Moghaddam, M. Rashidinejad and M. K. Sheikh-El-Eslami, “Investigation of economic and environmental-driven demand response measures incorporating UC,” IEEE Transactions on Smart Grid, vol. 3, pp. 12-25, 2012.
30
[31] R. Zhang, J. Zhou, L. Mo, Sh. Ouyang and X. Liao, “Economic environmental dispatch using an enhanced multi-objective cultural algorithm,” Electric Power Systems Research, vol. 99, pp. 18-29, 2013.
31
[32] Staff Report, “Assessment of demand response and advanced metering,” FERC, Available: http://www.FERC.gov Dec. 2008.
32
ORIGINAL_ARTICLE
Multi-Stage DC-AC Converter Based on new DC-DC converter for energy conversion
This paper proposes a multi-stage power generation system suitable for renewable energy sources, which is composed of a DC-DC power converter and a three-phase inverter. The DC-DC power converter is a boost converter to convert the output voltage of the DC source into two voltage sources. The DC-DC converter has two switches operates like a continuous conduction mode. The input current of DC-DC converter has low ripple and voltage of semiconductors is lower than the output voltage. The three-phase inverter is a T-type inverter. This inverter requires two balance DC sources. The inverter part converts the two output voltage sources of DC-DC power converter into a five-level line to line AC voltage. Simulation results are given to show the overall system performance, including AC voltage generation. A prototype is developed and tested to verify the performance of the converter.
http://joape.uma.ac.ir/article_427_07fce5c1eaa8adada9b3e62c076eeee0.pdf
2016-06-01T11:23:20
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42
53
Renewable energy
multi-stage inverter
DC-DC converter
multilevel inverter
Mohammadreza
Banaei
m.banaei@azaruniv.ac.ir
true
1
Azarbaijan Shahid Madani University
Azarbaijan Shahid Madani University
Azarbaijan Shahid Madani University
LEAD_AUTHOR
[1] M. Allahnoori, Sh. Kazemi, H. Abdi and R. Keyhani, “Reliability assessment of distribution sys-tems in presence of microgrids considering uncer-tainty in generation and load demand,”Journal of Operation and Automation in Power Engineering, vol. 2, no. 2, pp. 113- 120, 2014.
1
[2] K. N. Reddy and V. Agarwal, “Utility interactive hybrid distributed generation scheme with compensation feature,” IEEE Transactions on Energy Conversion, vol. 22, no. 3, pp. 666-673, 2007.
2
[3] D. Sera, R. Teodorescu, J. Hantschel and M. Knoll, “Optimized maximum power point tracker for fast-changing environmental conditions,” IEEE Transactions on Industrial Electronics, vol. 55, no. 7, pp. 2629-2637, 2008.
3
[4] U. S. Selamogullari, D. A. Torrey and S. Salon, “A systems approach for a stand-alone residential fuel cell power inverter design,” IEEE Transactions on Energy Conversion, vol. 25, no. 3, pp. 741-749, 2010.
4
[5] Z. Zhao, M. Xu, Q. Chen, J.S Jason Lai and Y. H. Cho, “Derivation, analysis, and implementation of a boost-buck converter-based high-efficiency pv inverter,” IEEE Transactions on Power Electronics, vol. 27, no. 3, pp.1304-1313, 2012.
5
[6] J. M. Shen, H. L. Jou and J. C. Wu, “Novel transformer-less grid-connected power converter with negative grounding for photovoltaic generation system,” IEEE Transactions on Power Electronics, vol. 27, no. 4, pp.1818-1829, 2012.
6
[7] D. C. Lu, K. W. Cheng and Y. S. Lee, “A single-switch continuous-conduction-mode boost converter with reduced reverse-recovery and switching losses,” IEEE Transactions on Industrial Electronics, vol. 50, no. 4, pp. 767-776, Aug. 2003.
7
[8] J. E. Baggio, H. L. Hey, H. A. Grundling, H. Pinheiro and J. R. Pinheiro, “Discreate control for three-level boost pfc converter,” in Proceedings of the 24th International Telecommunications Energy Conference, pp.627-633, 2002.
8
[9] J. M. Kwon, B. H. Kwon and K. H. Nam, “Three-phase photovoltaic system with three-level boosting mppt control,” IEEE Transactions on Power Electronics, vol. 23, no. 5, pp.2319-2327, 2008.
9
[10] L. S. Yang, T. J. Liang and J. F. Chen, “Transformerless DC-DC converters with high step-up voltage gain,” IEEE Transactions on Industrial Electronics, vol. 56, no.8, pp. 3144-3152, 2009.
10
[11] X. Ruan, B. Li, Q. Chen, S. Tan and C. K. Tse, “Fundamental considerations of three-level DC–DC converters: topologies, analyses, and control,” IEEE Transactions on Circuits and Systems, vol. 55, no. 11, pp. 3733-3743, 2008.
11
[12] W. Li and X. He, “Review of non-isolated high-step-up DC/DC converters in photovoltaic grid-connected applications,” IEEE Transactions on Industrial Electronics, vol. 58, no. 4, pp. 1239-1250, 2011.
12
[13] Y. Cheng, C. Qian, M. L. Crow, S. Pekarek and S. Atcitty, “A comparison of diode-clamped and cascaded multilevel converters for a STATCOM with energy storage”, IEEE Transactions on Industrial Electronics, vol. 53, no. 5, 1512-1521, 2006.
13
[14] S. Laali, E. Babaei and M. B. B. Sharifian, “Reduction the number of power electronic devices of a cascaded multilevel inverter based on new general topology,”Journal of Operation and Automation in Power Engineering ,vol. 2, no. 2, pp. 81-90, 2014.
14
[15] M. R. Banaei and E. Salary, “New multilevel inverter with reduction of switches and gate driver”, Energy Conversion and Management, vol. 52, pp. 1129-1136, 2011.
15
[16] N. A. Rahim and J. Selvaraj, “Multistring five-level inverter with novel PWM control scheme for PV application,” IEEE Transactions on Power Electronics, vol. 57, no. 6, pp. 2111-2123, 2010.
16
[17] B. Axelrod, Y. Berkovich and A. Ioinovici, “Switched-capacitor/switched-inductor struct-ures for getting transformer less hybrid DC-DC pwm converters,” IEEE Transactions on Circuits and Systems, vol. 55, no. 2, pp.687-696, 2008.
17
[18] J. M. Shen, H. L. Jou, J. C. Wu and K. D. Wu, “Five-level inverter for renewable power generation system,” IEEE Transactions on Energy Conversion, vol. 28, no. 2, pp. 257-266, 2013.
18
[19] S. R. Pulikanti, G. Konstantinou and V. G. Agelidis, “Hybrid seven-level cascaded active neutral-point-clamped-based multilevel converter under SHE-PWM,” IEEE Transactions on Industrial Electronics, vol. 60, no. 11, pp. 4794-4804, 2013.
19
[20] Y. Ounejjar, K. Al-Hadded and L. A. Dessaint, “A novel six-band hysteresis control for the packed u cells seven-level converter: experimental validation,” IEEE Transactions on Industrial Electronics, vol. 59, no. 10, pp. 3808-3816, 2012.
20
[21] S. Khomfoi and L. M. Tolbert, Multilevel power converters. Power electronics handbook. Elsevier; 2007, pp. 451-82 [chapter 17].
21
[22] K. A. Corzine, M. W. Wielebski, F. Z. Peng and J. Wang, “Control of cascaded multi-level inverters,” IEEE Transactions on Power Electronics, vol. 19, no. 3, pp. 732-738, 2004.
22
[23] E. A. Mahrous, N. A. Rahim, W. P. Hew and K. M. Nor, “Proposed nine switches five level inverter with low switching frequencies for linear generator applications”, in Proceedings of the 2005 Internati-onal Conference on Power Electronics and Drives Systems, pp. 648-653, 2005.
23
[24] E. A. Mahrous, N.A. Rahim and W. P. Hew, “Three-phase three-level voltage source inverter with low switching frequency based on the two-level inverter topology”, IET Proceedings on Electric Power Applications, vol. 1, Issue 4, pp. 637-641, 2007.
24
ORIGINAL_ARTICLE
An LCL-filtered Single-phase Multilevel Inverter for Grid Integration of PV Systems
Integration of the PV into the electrical grid needs power electronic interface. This power electronic interface should have some key features and should come up with grid codes. One of the important criteria is the quality and harmonic contents of the current being injected to the grid. High-order harmonics of the grid current should be very limited (lower than 0.3% of the fundamental current). Beside the topology of the power electronic interface, the output filter also affects the quality of the grid current. In this paper, a 5-level inverter is presented for grid integration of PV systems along with its output LCL filter design. Analytical calculation of losses for the 5-level inverter and the output LCL filter is presented. It is also compared to the H-bridge inverter in terms of output voltage and current harmonics, and the overall losses. Second-order generalized integral phase locked loop is used to synchronize the system with the grid voltage and the proportional resonant (PR) with harmonic compensation control method is used to control the output current. The proposed system has been simulated in the PSCAD/EMTDC environment to verify its operation and control.
http://joape.uma.ac.ir/article_425_c04a1587d3822f2ebf3bc5a929a86618.pdf
2016-06-01T11:23:20
2017-11-23T11:23:20
54
65
multilevel inverter
PV
LCL filter
MPPT
Mohammad
Farhadi Kangarlu
mfkangarlu@gmail.com
true
1
Urmia University
Urmia University
Urmia University
LEAD_AUTHOR
Ebrahim
Babaei
e-babaei@tabrizu.ac.ir
true
2
Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran
Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran
Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran
AUTHOR
Frede
Blaabjerg
fbl@et.aau.dk
true
3
Department of Energy Technology, Aalborg University, Aalborg, Denmark
Department of Energy Technology, Aalborg University, Aalborg, Denmark
Department of Energy Technology, Aalborg University, Aalborg, Denmark
AUTHOR
[1] D. Meneses, F. Blaabjerg, O. Garcia and J. A. Cobos, “Review and comparison of step-up transformer less topologies for photovoltaic AC-module application,” IEEE Transactions on Power Electronics, vol. 28, no. 6, pp. 2649-2663, 2013.
1
[2] S. B. Kjaer, J. K. Pedersen and F. Blaabjerg, “A review of single-phase grid-connected inverters for photovoltaic modules,” IEEE Transactions on Industry Applications, vol. 41, no. 5, pp. 2649-2663, 2005.
2
[3] S. Saridakis, E. Koutroulis and F. Blaabjerg, “Optimal design of modern transformer less PV inverter topologies,” IEEE Transactions on Energy Conversion, vol. 28, no. 2, pp. 394-404, 2013.
3
[4] E. Koutroulis and F. Blaabjerg, “Design optimization of transformerless grid-connected PV inverters including reliability,” IEEE Transactions on Power Electronics, vol. 28, no. 1, pp. 325-335, 2013.
4
[5] T. F. Wu, C. H. Chang and Y. J. Wu, “Single-stage converters for PV lighting systems with MPPT and energy backup,” IEEE Transactions on Aerospace Electronic Systems, vol. 35, no. 4, pp. 1306-1317, 1999.
5
[6] B. Subudhi and R. Pradhan, “A comparative study on maximum power point tracking techniques for photovoltaic power systems,” IEEE Transactions on Sustainable Energy, vol. 4, no. 1, pp. 89-98, 2013.
6
[7] Y. Li, B. Ge, H. Abu-Rub and F. Z. Peng, “Control system design of battery-assisted quasi-Z-source inverter for grid-tie photovoltaic power generation,” IEEE Transactions on Sustainable Energy, vol. 4, no. 4, pp. 994-1001, 2013.
7
[8] Y. Huang, M. Shen, F. Z. Peng and J. Wang, “Z-Source inverter for residential photovoltaic systems,” IEEE Transactions on Power Electronics, vol. 21, no. 6, pp. 1776-1782, 2006.
8
[9] H. Abu-Rub, A. Iqbal, S. M. Ahmed, F. Z. Peng, Y. Li and B. Ge, “Quasi-Z-source inverter-based photovoltaic generation system with maximum power tracking control using ANFIS,” IEEE Transactions on Sustainable Energy, vol. 4, no. 1, pp. 11-20, 2013.
9
[10] B. Ge, F. Z. Peng, H. Abu-Rub, F. E. Ferreira and A.T. de Almeida, “Novel energy stored single-stage photovoltaic power system with constant DC-link peak voltage,” IEEE Transactions on Sustainable Energy, vol. 5, no. 1, pp. 28-36, 2014.
10
[11] M. A. Mahmud, H. R. Pota and M. J. Hossain, “Nonlinear current control scheme for a single-phase grid-connected photovoltaic system,” IEEE Transactions on Sustainable Energy, vol. 5, no. 1, pp. 218-227, 2014.
11
[12] M. Amirabadi, H. A. Toliyat and W. Alexander, “A multiport AC link PV inverter with reduced size and weight for stand-alone application,” IEEE Transactions on Industry Applications, vol. 49, no. 5, pp. 2217-2228, 2013.
12
[13] M. Kolhe, “Techno-economic optimum sizing of a stand-alone solar photovoltaic system,” IEEE Transactions on Energy Conversion, vol. 24, no. 2, pp. 511-519, 2009.
13
[14] A. Bouabdallah, J. C. Olivier, S. Bourguet, M. Machmoum and E. Schaeffer, "Safe sizing methodology applied to a standalone photovoltaic system," Renewable Energy, vol. 80, pp. 266-274, 2015.
14
[15] R. Bakhshi, J. Sadeh and H. R. Mosaddegh, “Optimal economic designing of grid-connected photovoltaic systems with multiple inverters using linear and nonlinear module models based on genetic algorithm,” Renewable Energy, vol. 72, pp. 386-394, 2014.
15
[16] M. Farhadi Kangarlu and E. Babaei, “A generalized cascaded multilevel inverter using series connection of submultilevel inverters,” IEEE Transactions on Power Electronics, vol. 28, no. 2, pp. 625-636, 2013.
16
[17] M. Farhadi Kangarlu and M. R. Alizadeh Pahlavani, “Cascaded multilevel converter based superconducting magnetic energy storage system for frequency control,” Energy, vol. 70, pp. 504-513, 2014.
17
[18] S. Daher, J. Schmid and F. L. M. Antunes, “Multilevel inverter topologies for stand-alone PV systems,” IEEE Transactions on Industrial Electronics, vol. 55, no. 7, pp. 2703-2712, 2008.
18
[19] K. Bandara, T. Sweet and J. Ekanayake, “Photovoltaic applications for off-grid electrification using novel multi-level inverter technology with energy storage,” Renewable Energy, vol. 37, no. 1, pp. 82-88, 2012.
19
[20] S. Busquets-Mong, J. Rocabert, P. Rodriguez, S. Alepuz and J. Bordonau, “Multilevel diode-clamped converter for photovoltaic generators with independent voltage control of each solar array,” IEEE Transactions on Industrial Electronics, vol. 55, no. 7, pp. 2713-2723, 2008.
20
[21] E. Ozdemir, S. Ozdemir and L.M. Tolbert, “Fundamental-frequency-modulated six-level diode-clamped multilevel inverter for three-phase stand-alone photovoltaic system,” IEEE Transactions on Industrial Electronics, vol. 56, no. 11, pp. 4407-4415, 2009.
21
[22] R. Gonzalez, E. Gubia, J. Lopez and L. Marroyo, “Transformerless single-phase multilevel-based photovoltaic inverter,” IEEE Transactions on Industrial Electronics, vol. 55, no. 7, pp. 2694-2702, 2008.
22
[23] E. Villanueva, P. Correa, J. Rodriguez and M. Pacas, “Control of a single-phase cascaded H-bridge multilevel inverter for grid-connected photovoltaic systems,” IEEE Transactions on Industrial Electronics, vol. 56, no. 11, pp. 4399-4406, 2009.
23
[24] C. Cecati, F. Ciancetta and P. Siano, “A multilevel inverter for photovoltaic systems with fuzzy logic control,” IEEE Transactions on Industrial Electronics, vol. 57, no. 12, pp. 4115-4125, 2010.
24
[25] J. Sastry, P. Bakas, H. Kim, L. Wang and A. Marinopoulos, “Evaluation of cascaded H-bridge inverter for utility-scale photovoltaic systems,” Renewable Energy, vol. 69, pp. 208-218, 2014.
25
[26] J. Chavarría, D. Biel, F. Guinjoan, C. Meza and J. J. Negroni, “Energy-balance control of PV cascaded multilevel grid-connected inverters under level-shifted and phase-shifted PWMs,” IEEE Transactions on Industrial Electronics, vol. 60, no. 1, pp. 98-111, 2013.
26
[27] Z. Wang, S. Fan, Y. Zheng and M. Cheng, “Design and analysis of a CHB converter based PV-battery hybrid system for better electromagnetic compatibility,” IEEE Transactions on Magnetics, vol. 48, no. 11, pp. 4530-4533, 2012.
27
[28] J. Me, B. Xiao, Ke Shen, L.M. Tolbert and J. Y. Zheng, “Modular multilevel inverter with new modulation method and its application to photovoltaic grid-connected generator,” IEEE Transactions on Power Electronics, vol. 28, no. 11, pp. 5063-5073, 2013.
28
[29] G. Bin, J. Dominic, L. Jih-Sheng, C. Chien-Liang, T. LaBella and C. Baifeng, "High reliability and efficiency single-phase transformerless inverter for grid-connected photovoltaic systems," IEEE Transactions on Power Electronics, vol. 28, no. 5, pp. 2235-2245, 2013.
29
[30] L. Wuhua, G. Yunjie, L. Haoze, C. Wenfeng, H. Xiangning and X. Changliang, "Topology review and derivation methodology of single-phase transformer less photovoltaic inverters for leakage current suppression," IEEE Transactions on Industrial Electronics, vol. 62, no. 7, pp. 4537-4551, 2015.
30
[31] B. N. Alajmi, K. H. Ahmed, G. P. Adam and B. W. Williams, "Single-phase single-stage transformer less grid-connected PV system," IEEE Transactions on Power Electronics, vol. 28, no. 6, pp. 2664-2676, 2013.
31
[32] T. K. S. Freddy, N. A. Rahim, H. Wooi-Ping and C. Hang Seng, "Comparison and analysis of single-phase transformer less grid-connected PV inverters," IEEE Transactions on Power Electronics, vol. 29, no. 10, pp. 5358-5369, 2014.
32
[33] G. Buticchi, D. Barater, E. Lorenzani, C. Concari and G. Franceschini, "A nine-level grid-connected converter topology for single-phase transformerless PV systems," IEEE Transactions on Industrial Electronics, vol. 61, no. 8, pp. 3951-3960, 2014.
33
[34] E. Babaei, M. Farhadi Kangarlu and M. Sabahi, “Extended multilevel converters: An attempt to reduce the number of independent DC voltage sources in cascaded multilevel converters,” IET Power Electronics, vol. 7, no. 1, pp. 157-166, 2014.
34
[35] M. Ciobotaru, R. Teodorescu and F. Blaabjerg, “A new single-phase PLLstructure based on second order generalized integrator,” in Proceedings of the 37th IEEE Power Electronics Specialist Conference, pp. 1-6, 2006.
35
[36] Y. Yang, F. Blaabjerg and Z. Zou, "Benchmarking of grid fault modes in single-phase grid-connected photovoltaic systems", IEEE Transactions on Industry Applications, vol. 49, no. 5, pp. 2167-2176, 2013.
36
[37] P. Channegowda and V. John, “Filter optimization for grid interactive voltage source inverters,” IEEE Transactions on Industrial Electronics, vol. 57, no. 12, pp. 4106-4114, 2010.
37
[38] M. Liserre, F. Blaabjerg and S. Hansen, “Design and control of an LCL filter-based three-phase active rectifier,” IEEE Transactions on Industry Applications, vol. 41, no. 5, pp. 1281-1291, 2005.
38
[39] W. Wu, Y. He and F. Blaabjerg, “An LLCL power filter for single-phase grid-tied inverter,” IEEE Transactions on Power Electronics, vol. 27, no. 2, pp. 782-789, 2012.
39
[40] F. Blaabjerg, U. Jaeger, S. Munk-Nielsen and J. K. Pedersen, “Power losses in PWM-VSI inverter usinh NPT or PT IGBT devices,” IEEE Transactions on Power Electronics, vol. 10, no. 3, pp. 358-367, 1995.
40
[41] W. Eberle, Z. Zhang, Y. F. Liu and P. C. Sen, “A practical switching loss model for buck voltage regulators,” IEEE Transactions on Power Electronics, vol. 24, no. 3, pp. 700-713, 2009.
41
ORIGINAL_ARTICLE
Control of Inverter-Interfaced Distributed Generation Units for Voltage and Current Harmonics Compensation in Grid-Connected Microgrids
In this paper, a new approach is proposed for voltage and current harmonics compensation in grid-connected microgrids (MGs). If sensitive loads are connected to the point of common coupling (PCC), compensation is carried out in order to reduce PCC voltage harmonics. In absence of sensitive loads at PCC, current harmonics compensation scenario is selected in order to avoid excessive injection of harmonics by the main grid. In both scenarios, compensation is performed by the interface converters of distributed generation (DG) units. Also, to decrease the asymmetry among phase impedances of MG, a novel structure is proposed to generate virtual impedance. At fundamental frequency, the proposed structure for the virtual impedance improves the control of the fundamental component of power, and at harmonic frequencies, it acts to adaptively improve nonlinear load sharing among DG units. In the structures of the proposed harmonics compensator and the proposed virtual impedance, a self-tuning filter (STF) is used for separating the fundamental component from the harmonic components. This STF decreases the number of phase locked loops (PLLs). Simulation results in MATLAB/SIMULINK environment show the efficiency of the proposed approach in improving load sharing and decreasing voltage and current harmonics.
http://joape.uma.ac.ir/article_428_11b1f55fc7b1f79a62b2f2ae50109c4b.pdf
2016-06-01T11:23:20
2017-11-23T11:23:20
66
82
Distributed generation
Microgrid
Load Sharing
Voltage and current Harmonics Compensation
Self-Tuning Filter
Reza
Ghanizadeh
r_ghanizadeh@birjand.ac.ir
true
1
Department of Electrical Engineering, University of Birjand, Birjand, Iran
Department of Electrical Engineering, University of Birjand, Birjand, Iran
Department of Electrical Engineering, University of Birjand, Birjand, Iran
LEAD_AUTHOR
Mahmoud
Ebadian
mebadian@birjand.ac.ir
true
2
Department of Electrical and computer Engineering, University of Birjand, Birjand, Iran.
Department of Electrical and computer Engineering, University of Birjand, Birjand, Iran.
Department of Electrical and computer Engineering, University of Birjand, Birjand, Iran.
AUTHOR
Gevork B.
Gharehpetian
grptian@aut.ac.ir
true
3
Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran
Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran
Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran
AUTHOR
[1] IEEE Standard 1547.4-2011, “IEEE guide for design, operation, and integration of distributed resource island systems with electric power systems”, 2011.
1
[2] M. Allahnoori, Sh. Kazemi, H. Abdi and R. Keyhani, “Reliability assessment of distribution systems in presence of microgrids considering uncertainty in generation and load demand”, Journal of Operation and Automation in Power Engineering, vol. 2, no. 2, pp. 113-120, 2014.
2
[3] S. Chowdhury, S.P. Chowdhury and P. Crossley, Microgrids and active distribution networks, Published by The Institution of Engineering and Technology (IET), London, United Kingdom, 2009.
3
[4] A. Mokari, H. Seyedi, B. Mohammadi-Ivatloo and S. Ghasemzadeh, “An improved under-frequency load shedding scheme in distribution networks with distributed generation”, Journal of Operation and Automation in Power Engineering, vol. 2, no. 1, pp. 2-31, 2014.
4
[5] R. C. Dugan, M. F. McGranaghan, S. Santoso and H. W. Beaty, Electrical power systems quality, (2nded), New York: McGraw-Hill, 2003.
5
[6] A. Tuladhar, H. Jin, T. Unger and K. Mauch, “Parallel operation of single phase inverter modules with no control interconnections”, in Proceedings of the Twelfth annual Applied Power Electronics Conference and Exposition, Atlanta, GA, pp. 94-100, 1997.
6
[7] J. M. Guerrero, J. Matas, L. G. de Vicuña, M. Castilla and J. Miret, “decentralized control for parallel operation of distributed generation inverters using resistive output impedance”, IEEE Transaction on Industrial Electronics, vol. 54, no. 2, pp. 994-1004, 2007.
7
[8] P. Sreekumar and V. Khadkikar, “A new virtual harmonic impedance scheme for harmonic power sharing in an islanded microgrid”, IEEE Transaction on Power Delivery, vol. 31, no. 3, pp. 936-945, 2015.
8
[9] M. Guerrero, J. Matas, L. G. Vicuna, M. Castilla and J. Miret, “Wireless control strategy for parallel operation of distributed generation inverters,” IEEE Transaction on Industrial Electronics, vol. 53, no. 5, pp. 1461-1470, 2006.
9
[10] D. De and V. Ramanarayanan, “decentralized parallel operation of inverters sharing unbalanced and nonlinear loads”, IEEE Transaction on Power Electronics, vol. 25, no. 12, pp. 3015-3025, 2010.
10
[11] M. Savaghebi, J.C. Vesquez, A. Jalilian, J.M. Guerrero and T. L. Lee, “Selective compensation of voltage harmonics in grid-connected microgrids,” International Journal of Mathematics and Computers in Simulation,vol. 91, no. 6, pp. 211-228. 2013.
11
[12] M. Cirrincione, M. Pucci and G. Vitale, “A single-phase dg generation unit with shunt active power filter capability by adaptive neural filtering”, IEEE Transactions on Industrial Electronics, vol. 55, no. 5, pp. 2093-2110, 2008.
12
[13] W. Al-Saedi, S. W. Lachowicz, D. Habibi and O. Bass, “Power quality enhancement in autonomous microgrid operation using particle swarm optimization,” International Journal of Electrical Power & Energy Systems, vol. 42, no. 1, pp. 139-149, 2012.
13
[14] W. Al-Saedi, S. W. Lachowicz, D. Habibi and O. Bass, “Voltage and frequency regulation based DG unit in an autonomous microgrid operation using Particle Swarm Optimization,” International Journal of Electrical Power & Energy Systems, vol. 53, no. 4, pp. 742-751, 2013.
14
[15] M. Prodanovic, K. D. Brabandere, J. V. Keybus, T. C. Green and J. Driesen, “Harmonic and reactive power compensation as ancillary services in inverter-based distributed generation”, IET Proceedings on Generation, Transmission and Distribution, vol. 1, no. 3, pp. 432-438, 2007.
15
[16] J. He, Y. W. Li and M.S. Munir, “A flexible harmonic control approach through voltage controlled dg-grid interfacing converters”, IEEE Transaction on Industrial Electronics, vol. 59, no. 1, pp. 444-455, 2012.
16
[17] X. Wang, F. Blaabjerg and Z. Chen, “Autonomous control of inverter-interfaced distributed generation units for harmonic current filtering and resonance damping in an islanded microgrid,” IEEE Transactions on Industry Applications, vol. 50, no. 1, pp. 452-461, 2014.
17
[18] T.L. Lee and P.T. Cheng, “Design of new cooperative harmonic filtering strategy for distributed generation interface converters in an islanding network”, IEEE Transaction on Power Electronics, vol. 22, no. 5, pp. 1919-1927, 2007.
18
[19] M. Savaghebi, J. M. Guerrero, A. Jalilian, J.C. Vasquez and Tzung-Lin Lee, “Hierarchical control scheme for voltage harmonics compensation in an islanded droop-controlled microgrid,” Proceedings of the IEEE Power Electronic and Drive Systems, Singapore, pp. 89-94, 2011.
19
[20] M. M. Hashempour, M. Savaghebi, J.C. Vasquez and J. M. Guerrero, “A control architecture to coordinate distributed generators and active power filters coexisting in a microgrid”, IEEE Transaction on Smart Grid, vol. PP, no. 99, pp. 1-12, 2015.
20
[21] S. Anwar , A. Elrayyah and Y. Sozer, “Efficient single phase harmonics elimination method for microgrid operations”, IEEE Transaction on Industry Applications, vol. 51, no. 4, pp. 3394-3403, 2015.
21
[22] J.M. Guerrero, M. Chandorkar, T.L. Lee and P.C. Loh, “Advanced control architectures for intelligent microgrids - part ii: power quality, energy storage, and ac/dc microgrids,” IEEE Transaction on Industrial Electronics, vol. 60, no. 4, pp. 1263-1270, 2013.
22
[23] H. Akagi, E.H. Watanabe and M. Aredes, Instantaneous power theory and applications to power conditioning, Wiley-IEEE Press, 2007.
23
[24] J.M. Guerrero, J.C. Vasquez, J. Matas, L.G. de Vicuna and M. Castilla, “Hierarchical control of droop-controlled ac and dc microgrids - a general approach toward standardization”, IEEE Transactions on Industrial Electronics, vol. 58, no. 1, pp. 158-172, 2011.
24
[25] F. Blaabjerg, R. Teodorescu, M. Liserre and A.V. Timbus, “Overview of control and grid sync hronization for distributed power generation systems”, IEEE Transactions on Industrial Electronics, vol. 53, no. 5, pp. 1398-1409, 2006.
25
[26] P.C. Loh and D.G. Holmes, “Analysis of multiloop control strategies for lc/cl/lcl filtered voltage sourse and current source inverters”, IEEE Transactions on Industrial Applications, vol. 41, no. 2, pp. 644-654, 2005.
26
[27] H. Song, H. Park and K. Nam, “An instantaneous phase angle detection algorithm under unbalanced line voltage condition,” in Proceedings of the 30th Annual IEEE Power Electronics Specialists Conference, Charleston, SC, pp. 533-537, 1999.
27
[28] M. Abdusalam, P. Poure, S. Karimi and S. Saadate, “New digital reference current generation for shunt active power filter under distorted voltage conditions”, Electric Power Systems Research, vol. 79, no. 2, pp. 759-765, 2009.
28
[29] R. Ghanizadeh and M. Ebadian, “Improving the performance of UPQC under unbalanced and distortional load conditions: A new control method”, Journal of Artificial Intelligence & Data Mining, vol. 3, no. 2, pp. 225-234, 2015.
29
[30] M. Ebadian, M. Talebi and R. Ghanizadeh, “A new approach based on instantaneous power theory for improving the performance of UPQC under unbalanced and distortional load conditions”, Automatika - Journal for Control, Measurement, Electronics, Computing and Communications, vol. 56, no. 2, pp. 52-64, 2015.
30
[31] J. He and Y. W. Le, “Analysis and design of interfacing inverter output virtual impedance in a low voltage microgrid,” Proceedings of the IEEE Energy Conversion Congress and Exposition, Atlanta, GA, pp. 2847-2864, 2010.
31
[32] IEEE Standard 1459-2010, IEEE standard definitions for the measurement of electric power quantities under sinusoidal, no sinusoidal, balanced or unbalanced conditions, 2010.
32
ORIGINAL_ARTICLE
An Improved Big Bang-Big Crunch Algorithm for Estimating Three-Phase Induction Motors Efficiency
Nowadays, the most generated electrical energy is consumed by three-phase induction motors. Thus, in order to carry out preventive measurements and maintenances and eventually employing high-efficiency motors, the efficiency evaluation of induction motors is vital. In this paper, a novel and efficient method based on Improved Big Bang-Big Crunch (I-BB-BC) Algorithm is presented for efficiency estimation in the induction motors. In order to estimate the induction motor’s efficiency, the measured current, the power factor and the input power are applied to the proposed method and an appropriate objective function is presented. The main advantage of the proposed method is efficiency evaluation of induction motor without any intrusive test. Moreover, a new effective and improved version of BB-BC algorithm is introduced. The presented modifications can improve the accuracy and speed of the classic version of algorithm. In order to demonstrate the capabilities of the proposed method, a comparison with other traditional methods and intelligent optimization algorithms is performed.
http://joape.uma.ac.ir/article_426_e652af13ec1a0a6d682179f4bcc1c77e.pdf
2016-06-01T11:23:20
2017-11-23T11:23:20
83
92
Efficiency Estimation
Improved Big Bang-Big Crunch (I-BB-BC) Algorithm
Induction Motor
Measurement
Mehdi
Bigdeli
bigdeli.mehdi@gmail.com
true
1
Islamic Azad University
Islamic Azad University
Islamic Azad University
LEAD_AUTHOR
Davood
Azizian
d.azizian@abhariau.ac.ir
true
2
Islamic Azad University
Islamic Azad University
Islamic Azad University
AUTHOR
Ebrahim
Rahimpour
ebrahim.rahimpour@de.abb.com
true
3
ABB AG, Power Products Division
ABB AG, Power Products Division
ABB AG, Power Products Division
AUTHOR
[1] J. S. Hsu, J. D. Kueck, M. Olszewski, D. A. Casada and P. J. Otaduy, “Comparison of induction motor field efficiency evaluation methods,” IEEE Transactions on Industry Applications, vol. 34, no. 1, pp. 117-125, 1998.
1
[2] B. Lu, T. G. Habetler and R. G. Harley, “A survey of efficiency-estimation methods for in-service induction motors,” IEEE Transactions on Industry Applications, vol. 42, no. 4, pp. 924-933, 2006.
2
[3] C. S. Gajjar, J. M. Kinyua, M. A. Khan and P. S. Barendse, “Analysis of a non-intrusive efficiency estimation technique for induction machines compared to the IEEE 112B and IEC 34-2-1 standards,” IEEE Transactions on Industry Applications, vol. 51, no. 6, pp. 4541-4553, 2006.
3
[4] M. Chirindo, M. A. Khan and P. S. Barendse, “Considerations for non-intrusive efficiency estimation of inverter-fed induction motors,” IEEE Transactions on Industrial Electronics, Early Access, Published Online, 2015.
4
[5] IEEE standard test procedure for polyphase induction motors and generators, IEEE Standard 112, IEEE Power Engineering Society, New York, 1996.
5
[6] B. Lu, T. G. Habetler and R. G. Harley, “A nonintrusive and in-service motor-efficiency estimation method using air-gap torque with considerations of condition monitoring,” IEEE Transactions on Industry Applications, vol. 44, no. 6, pp. 1666-1674, 2008.
6
[7] Y. EI-Ibiary, “An accurate low cost method for determining electric motor’s efficiency for the purpose of plant energy management,” IEEE Transactions on Industry Applications, vol. 39, no. 4, pp. 12-19, 2003.
7
[8] A. G. Siraki, P. Pillay and P. Angers, “Full load efficiency estimation of refurbished induction machines from no-load testing,” IEEE Transactions on Energy Conversion, vol. 28, no. 2, pp. 317-326, 2013.
8
[9] M. Al-Badri, P. Pillay and P. Angers, “A novel algorithm for estimating refurbished three-phase induction motors efficiency using only no-load tests,” IEEE Transactions on Energy Conversion, vol. 30, no. 2, pp. 615-625, 2015.
9
[10] V. Dlamini, R. Naidoo, M. Manyage, “A non-intrusive method for estimating motor efficiency using vibration signature analysis,” International Journal of Electrical Power and Energy Systems, vol. 45, no. 1, pp. 384-390, 2013.
10
[11] J. R. Holmquist and M. A. Rooks, “Richter practical approach for determining motor efficiency in the field using calculated and measured values,” IEEE Transactions on Industry Applications, vol. 40, no. 1, pp. 242-248, 2004.
11
[12] E. Babaei and N. Ghorbani, “Combined economic dispatch and reliability in power system by using PSO-SIF algorithm,” Journal of Operation and Automation in Power Engineering, vol. 3, no. 1, pp. 23-33, 2015.
12
[13] M. Sedighizadeh and M. Mahmoodi “Optimal reconfiguration and capacitor allocation in radial distribution systems using the hybrid shuffled frog leaping algorithm in the fuzzy framework,” Journal of Operation and Automation in Power Engineering, vol. 3, no. 1, pp. 56-70, 2015.
13
[14] T. Phumiphak and C. Chat-Uthai, “Estimation of induction motor parameters based on field test coupled with genetic algorithm,” in Proceedings of the IEEE International Conference on Power System Technology, pp. 1199- 1203, 2002.
14
[15] A. Charette, J. Xu, A. Ba-Razzouk, P. Pillay and V. Rajagopalan, “The use of the genetic algorithm for in-situ efficiency measurement of an induction motor,” in Proceedings of the IEEE International Conference on Power Engineering Society, Winter Meeting, pp. 392-397, 2000.
15
[16] M. Cunkas and T. Sag, “Efficiency determination of induction motors using multi-objective evolutionary algorithms,” Advances in Engineering Software, vol. 41, no. 2, pp. 255–261, 2010.
16
[17] P. Nangsue, P. Pillay and S. E. Conry, “Evolutionary algorithms for induction motor parameter determination,” IEEE Transactions on Energy Conversion, vol. 14, no. 3, pp. 447-453, 1999.
17
[18] B. Lu, C. Wenping, I. French, K. J. Bradley and T. G. Habetler, “Non-intrusive efficiency determination of in-service induction motors using genetic algorithm and air-gap torque methods,” in Proceedings of the IEEE 42nd IAS Annual Meeting, International Conference on Industry Applications, pp. 1186-1192, 2007.
18
[19] M. Al-Badri, P. Pillay and P. Angers, “A novel in situ efficiency estimation algorithm for three-phase IM using GA, IEEE method F1 calculations, and pretested motor data,” IEEE Transactions on Energy Conversion, vol. 30, no. 3, pp. 1092-1102, 2015.
19
[20] I. Kostov, V. Vasil Spasov and V. Rangelova, “Application of genetic algorithm for determining the parameters of induction motors,” Technical Gazette, vol. 16, no. 2, pp. 49-53, 2009.
20
[21] V. P. Sakthivel and S. Subramanian, “On-site efficiency evaluation of three-phase induction motor based on particle swarm optimization,” Energy, vol. 36, no. 3, pp. 1713- 1720, 2011.
21
[22] C. P. Salomon, C. Wilson, E. Luiz, G. Lambert, E. L. Bonaldi, E. L. Levy, J. G. Borges, “Motor efficiency evaluation using a new concept of stator resistance,” IEEE Transactions on Instrumentation and Measurement, vol. 64, no. 11, pp. 2908-2917, 2015.
22
[23] V. P. Sakthivel, R. Bhuvaneswari and S. Subramanian, “Non-intrusive efficiency estimation method for energy auditing and management of in service induction motor using bacterial foraging algorithm,” IET Electric Power Applications, vol. 4, no. 8, pp. 579-590, 2010.
23
[24] V. S. Santos, P. R. Viego, J. R. Gomez, N. A. Lemozy, A. Jurado, E. C. Quispe, “Procedure for determining induction motor efficiency working under distorted grid voltages,” IEEE Transactions on Energy Conversion, vol. 30, no. 1, pp. 331-339, 2015.
24
[25] V. S. Santos, P. V. Felipe and J. G. Sarduy, “Bacterial foraging algorithm application for induction motor field efficiency estimation under unbalanced voltages,” Measurement, vol. 46, no. 7, pp. 2232-2237, 2013.
25
[26] V. P. Sakthivel, R. Bhuvaneswari and S. Subramanian, “An accurate and economical approach for induction motor field efficiency estimation using bacterial foraging algorithm,” Measurement, vol. 44, no. 4, pp. 674-684, 2011.
26
[27] O. K. Erol and I. Eksin, “A new optimization method: big bang–big crunch,” Advances in Engineering Software, vol. 3, no. 7, pp. 106-111, 2006.
27
[28] S. Sakthivel, S. A. Pandiyan, S. Marikani and S. K. Selvi, “Application of big bang big crunch algorithm for optimal power flow problems,” The International Journal of Engineering and Science, vol. 2, no. 4, pp. 41-47, 2013.
28
[29] S. Sakthivel, M. Gayathri and V. Manimozhi, “A nature inspired optimization algorithm for reactive power control in a power system,” International Journal of Recent Technology and Engineering, vol. 2, no. 1, pp. 29-33, 2013.
29