A Customer Oriented Approach for Distribution System Reliability Improvement Using Optimal Distributed Generation and Switch Placement

Document Type: Research paper

Authors

Department of Electrical Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran.

Abstract

The reliability of distribution networks is inherently low due to their radial nature, consequently distribution companies (DisCos) usually seek to improve the system reliability indices with the minimum possible investment cost. This can be known as system-oriented reliability planning (SORP). However, there can exist some customers that are not satisfied by their reliability determined by adopting the SORP and they may be eager to have a higher level of reliability. Therefore, other planning in addition of SORP is required to concern the customer viewpoint reliability. This paper introduces the customer-oriented reliability planning (CORP) in medium voltage network which is an innovative approach in the context of load point reliability. To this end, first a SORP is conducted to improve the distribution system reliability index. Then the strategy is revised and the CORP is adopted by DisCo considering involving the results obtained in SORP and the customers that have declared to reduce their expected energy not supplied (EENS). Since the surplus investment cost stem from the planning revision is received from the requestor customers, CORP can provide a proper and acceptable mechanism to fairly allocate the surplus cost to those customers. Furthermore, this problem is studied under the probabilistic nature of distribution network. Simultaneous placement of distributed generators (DGs) and automatic sectionalizing switches is implemented too with a new defined load shedding mechanism in order to enhance the reliability level for both mentioned planning frameworks.

Keywords

Main Subjects


[1]    R. Billinton and S. Jonnavithula, “Optimal switching device placement in radial distribution systems”, IEEE Trans. Power Delivery, vol. 11, no. 3, pp. 1646-1651, 1996.

[2]    M. Moradi, M. Fotuhi, M. Parvania and M. Rashid-Nejad, “A reliability cost/worth approach to determine optimum switching placement in distribution systems”, Proce. IEEE Trans. Distrib. Conference and Exhibition: Asia and Pacific, Dalian, China, pp. 1-5, Aug 2005.

[3]    A. Jahromi, M. Fotuhi, M. Parvania and M. Mosleh, “Optimized sectionalizing switch placement strategy in distribution systems”, IEEE Trans. Power Delivery,vol. 27, no. 1, pp. 362-370, 2012.

[4]    A. Heidari, A.Y. Dong, D. Zhang, P. Siano and J. Aghaei, “Mixed-integer nonlinear programming formulation for distribution networks reliability optimization”, IEEE Trans. Ind. Inf., vol. 14, no. 5, pp. 1952-1961, 2018.

[5]    Y. Xue, C. Liu, KP. Schneider and D. Ton. “Placement of remote-controlled switches to enhance distribution system restoration capability”, IEEE Trans. Power Syst., vol. 31, no. 2, pp. 1139-1150, 2015.

[6]    L. Silva, J. Gonzalez, F. Usberty, C. Lyra, C. Cavellucci and V. Zoben, “Switch allocation problems in power distribution systems,” IEEE Trans. Power Syst., vol. 30, no. 1, pp. 246-253, 2014.

[7]    J. Bezerra, G. Barroso, R. Leao and R. Sampio, “Multiobjective optimization algorithm for switch placement in radial power distribution networks”, IEEE Trans. Power Delivery, vol. 30, no. 2, pp. 545-552, 2015.

[8]    G. Sardue and M. Banejad, “Modified shuffled frog leaping algorithm for optimal switch placement in distribution automation system using a multi-objective fuzzy approach”, IET Gener. Transm. Distrib., vol. 6, no. 6, pp. 493-502, 2012.

[9]    S. Ra., S. Bhattacharjee and A. Bhattacharya, “Optimal allocation of remote control switches in radial distribution network for reliability improvement”, Ain Shams Eng. J., vol. 9, no. 3, pp. 403-414, 2018.

[10]    M. Mohammadi, S. Soleymani, T. Niknam and T. Amraee, “Distribution automation planning and operation considering optimized switch placement and feeder reconfiguration strategies from reliability enhancement perspective”, J. Intell. Fuzzy Syst., vol. 33, no.3, pp. 1-14, 2018.

[11]    A. Shahsavari, A. Fereidunian and SM. Mazhari, “A joint automatic and manual switch placement within distribution systems considering operational probabilities of control sequences”, Int. Trans, Electr. Energy Syst.,vol. 25, no. 11, pp. 2745-2768, 2015.

[12]    A. Pombo, J. Pina and V. Pires, “Multiobjective planning of distribution networks incorperating switches and protective devices using a memetic optimization”, Reliab. Eng. Syst. Saf., vol. 136, pp. 101-108, 2015.

[13]    H. Falaghi, M.R Haghfam and C. Singh, “Ant colony optimization-based method for placement of sectionalizing switches in distribution networks using a fuzzy multiobjective approach”, IEEE Trans. Power Delivery, vol. 24, no. 1, pp. 268-276, 2009.

[14]    D. Zhu, R. Broadwater, K. Tam, R. Seguin and H. Asgeirsson, “Impact of DG placement on reliability and efficiency with time-varying loads”, IEEE Trans. Power Syst., vol. 21, no. 1, pp. 419-427, 2006.

[15]    J. Teng, T. Luor and Y. Liu, “Strategic distributed generator placements for service reliability improvements”, IEEE Power Eng. Soc. Summer Meeting, vol. 2, 2002.

[16]    N. Khalesi, N. Rezaei and M. Haghifam, “DG allocation with application of dynamic programming for loss reduction and reliability improvement”, Electr. Power and Energy Syst., vol. 33, no. 2, pp. 288-295, 2011.

[17]    H. Hamedi and M. Gandomkar, “A straightforward approach to minimizing unsupplied energy and power loss through DG placement and evaluating power quality in relation to load variations over time”, Inter. J. Electr. Power Energy Syst., vol. 35, no. 1, pp. 93-96, 2012.

[18]    AK. Basu, S. Chowdhury, S. Chowdhury, “Impact of strategic deployment of CHP-based DERs on microgrid reliability”, IEEE Trans. Power Delivery, vol. 25, no. 3, 1697-1705, 2010.

[19]    M. ahmani-andebili, “Simultaneous placement of DG and capacitor in distribution network”, Electr. Power Syst. Res., vol. 131, pp. 1-10, 2016.

[20]    L. Wang and C. Singh, “Reliability-constrained optimum placement of reclosers and distributed generators in distribution networks using an ant colony system algorithm”, IEEE Trans. Syst. Man Cybern. Part C Appl. Rev., vol. 38, no. 6, pp. 757-764, 2008.

[21]    D.H. Popovic, J.A. Greatbanks, M. Begovic and A. Pregelj, “Placement of distributed generators and reclosers for distribution network security and reliability”, Electr. Power Energy Syst., vol. 27, no. 5, pp. 398-408, 2005.

[22]    A. Ameli, S. Bahrami, F. Khazaeli and M.R Haghifam. “A multiobjective particle swarm optimization for sizing and placement of DGs from dg owner’s and distribution company’s viewpoints”, IEEE Trans. Power Delivery, vol. 29, no. 4, pp. 1831-1840, 2014.

[23]    M. Aman, G. Jasmon, H. Mokhlis and A. Bakar, “Optimum tie switches allocation and DG placement based on maximisation of system loadability using discrete artificial bee colony algorithm”, IET Gener. Transm. Distrib., vol. 31, no. 2, pp. 1330-1340, 2016.

[24]    F. Samadi and J. Salehi, “Stochastic multi-objective framework for optimal dynamic planning of interconnected microgrids”, IET Renewable Power Gener., vol. 11, no. 14, pp. 1749-1759, 2017.

[25]    M. Majidi, S. Nojavan and K. Zare,“Optimal sizing of energy storage system in a renewable-based microgrid under flexible demand side management considering reliability and uncertainties”, J. Oper. Autom. Power Eng., vol. 5, no. 2, pp. 205-214, 2017.

[26]    H. Arasteh, M. Sepasian and V. Vahidinasab,“Toward a smart distribution system expansion planning by considering demand response resources”, J. Oper. Autom. Power Eng., vol. 3, no. 2, pp. 116-130, 2015.

[27]    B. Mohammadzadeh, A. Safari and S. Najafi Ravadanegh,“Reliability and supply security based method for simultaneous allocation of sectionalizer switch and der units”, J. Oper. Autom. Power Eng., vol. 4, no. 2, pp. 165-176, 2016.

[28]    SM. Mazhari, H. Monsef and R. Romero, “A multi-objective distribution system expansion planning incorporating customer choices on reliability”, IEEE Trans. Power Syst., vol. 31, no. 2, pp. 1330-1340, 2016.

[29]    R. Mohammadi, H. Mashhadi and M. Shahidehpour, “Market-based customer reliability provision in distribution systems based on game theory: a bi-level optimization approach”, IEEE Trans. Smart Grid, vol. 10, no. 4, pp. 3840-3848, 2018.

[30]    M. EsmaeeliA. Kazemi and H. Shayanfar, “Risk-based planning of distribution substation considering technical and economic uncertainties”, Assoc. Consum. Res., vol. 22, pp. 381-388, 1995.

[31]    L. A. Wenben, “Consumer values, product benefits and customer value: a consumption behavior approach”, ACR North Am. Adv. Consum. Res., vol. 22, pp. 381-388, 1995.

[32]    A. W. Lai. “Consumer values, product benefits and customer value: a consumption behavior approach.” Electr. Power Syst. Res., vol. 135, pp. 18-26, 2016.

[33]    H. M. Markowitz, “Portfolio Selection: Efficient Diversification of Investments”. In Proc. of the John Wiley, New York, 1959.

[34]    F. Roques, D. Newbery and W. Nuttall, “Fuel mix diversification incentives in liberalized electricity markets: A Mean–Variance Portfolio theory approach”, Energy Econ., vol. 30, no. 4, pp. 1831-1849, 2008.  

[35]    D. E. Goldberg, “Genetic algorithms in search optimization and machine learning. Reading”, MA: Addison-Wesley, 1989.

[36]    K. Deb, S. Agrawal and A. Pratab, “A fast and elisit multiobjective genetic NSGA-II”, IEEE Trans. Evol. Comput., vol. 6, no. 2, pp. 182-197, 2002.

[37]    N. Acharya, P. Mahat and N.Mithulananthan, “An analytical approach for DG allocation in primary distribution network”, Int. J. Electr. Power Energy Syst., vol. 28, no. 3, pp. 669-678, 2006.