University of Mohaghegh Ardabili
Journal of Operation and Automation in Power Engineering
2322-4576
2423-4567
6
1
2018
06
01
Optimal Scheduling of Battery Energy Storage System in Distribution Network Considering Uncertainties using hybrid Monte Carlo- Genetic Approach
1
12
EN
R.
Afshan
Department of Electrical Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran.
J.
Salehi
Azarbaijan Shahid Madani University
j.salehi@azaruniv.ac.ir
10.22098/joape.2017.3385.1271
This paper proposes a novel hybrid Monte Carlo simulation-genetic approach (MCS-GA) for optimal operation of a distribution network considering renewable energy generation systems (REGSs) and battery energy storage systems (BESSs). The aim of this paper is to design an optimal charging /discharging scheduling of BESSs so that the total daily profit of distribution company (Disco) can be maximized. In this study, the power generation of REGSs such as photovoltaic resources (PVs) and the network electricity prices are studied through their uncertainty natures. The probability distribution function (PDF), is used to account for uncertainties in this paper. Also, the Monte Carlo simulation (MCS) is applied to generate different scenarios of network electricity prices and solar irradiation of PVs. Optimal scheduling of BESSs can be performed by genetic algorithm (GA). In this paper, firstly, the charging and discharging state of BESSs (positive or negative sign of battery power) is determined according to the variable amount of the electricity prices and power produced from PVs, which have been obtained from the Monte Carlo simulation. Then by using the GA, optimal amount of BESSs is determined. Therefore, a hybrid MCS-GA is used to solve this problem. Numerical examples are presented to illustrate the optimal charging/discharging power of the battery for maximizing the total daily profit.
Battery Energy Storage Systems,Optimal Operation,Uncertainty Modeling,Monte Carlo simulation,genetic algorithm
http://joape.uma.ac.ir/article_632.html
http://joape.uma.ac.ir/article_632_02d445095ef5de28bcf76f5fee404d52.pdf
University of Mohaghegh Ardabili
Journal of Operation and Automation in Power Engineering
2322-4576
2423-4567
6
1
2018
06
01
An Intelligent Method Based on WNN for Estimating Voltage Harmonic Waveforms of Non-monitored Sensitive Loads in Distribution Network
13
22
EN
A.
ِDeihimi
Bu-Ali Sina University, Department of Electrical Engineering
a_deihimi@yahoo.com
A.
Rahmani
Bu-Ali Sina University, Department of Electrical Engineering,
rahmani878@gmail.com
10.22098/joape.2018.3533.1280
An intelligent method based on wavelet neural network (WNN) is presented in this study to estimate voltage harmonic distortion waveforms at a non-monitored sensitive load. Voltage harmonics are considered as the main type of waveform distortion in the power quality approach. To detect and analyze voltage harmonics, it is not economical to install power quality monitors (PQMs) at all buses. The cost associated with the monitoring procedure can be reduced by optimizing the number of PQMs to be installed. The main aim of this paper is to further reduce the number of PQMs through recently proposed optimum allocation approaches. An estimator based on WNN is presented in this study to estimate voltage-harmonic waveforms at a non-monitored sensitive load using current and voltage at a monitored location. Since capacitors and distributed generations (DGs) have a special role in distribution networks, they are considered in this paper and their effects on the harmonic voltage waveform estimator are evaluated. The proposed technique is examined on the IEEE 37-bus network. Results indicate the acceptable high accuracy of the WNN estimator.
Distributed network,Power quality monitoring,Voltage harmonic,Wavelet neural network
http://joape.uma.ac.ir/article_633.html
http://joape.uma.ac.ir/article_633_c5d439eb9e9635a9c48b7f0a7d431a5b.pdf
University of Mohaghegh Ardabili
Journal of Operation and Automation in Power Engineering
2322-4576
2423-4567
6
1
2018
06
01
Increasing the Efficiency of the Power Electronic Converter for a Proposed Dual Stator Winding Squirrel-Cage Induction Motor Drive Using a Five-Leg Inverter at Low Speeds
23
39
EN
H.
Moayedirad
Department of Electrical and Computer Engineering, University of Birjand, Birjand, Iran.
hojatrad@birjand.ac.ir
M. A.
Shamsi Nejad
Department of Electrical and Computer Engineering, University of Birjand, Birjand, Iran,
mshamsi@birjand.ac.ir
10.22098/joape.2018.2990.1249
A dual stator winding squirrel-cage induction motor (DSWIM) is a brushless single-frame induction motor that contains a stator with two isolated three-phase windings wound with dissimilar numbers of poles. Each stator winding is fed by an independent three-phase inverter. The appropriate efficiency of this motor is obtained when the ratio of two frequencies feeding the machine is equal to the ratio of the number of poles. In the vector control method at low speeds, flux is difficult to estimate because the voltage drop on the stator resistance is comparable with the input stator voltage, disturbing the performance of the motor drive. To solve the abovementioned problem, researchers have benefited from the free capacity of the two windings of the stator. This makes the motor deviate from its standard operating mode at low speeds. The main purpose of this paper is reducing the power losses of the inverter unit in the DSWIM drive at low speeds via the proposed control method and a five-leg inverter. This paper deals with two topics: 1. Using the idea of rotor flux compensation at low speeds, the motor works in its standard operating mode. Therefore, the power losses of the utilized power electronic converters are also reduced to a considerable extent; and 2. Reduction in capital cost can be achieved by utilizing a five-leg power electronic converter. The proposed methods are simulated in MATLAB/Simulink software, and the results of simulation confirm the assumptions.
Dual stator winding,five-leg inverter,induction machine,low speed,vector control
http://joape.uma.ac.ir/article_634.html
http://joape.uma.ac.ir/article_634_bea20854ea2da190bf8e2ff84b7db704.pdf
University of Mohaghegh Ardabili
Journal of Operation and Automation in Power Engineering
2322-4576
2423-4567
6
1
2018
06
01
Characterization of Power Transformer Electromagnetic Forces Affected by Winding Faults
40
49
EN
V.
Behjat
Department of Electrical Engineering, Azarbaijan Shahid Madani university, Tabriz, Iran.
Email: behjat@azaruniv.edu
behjat@azaruniv.edu
A.
Shams
Department of Electrical Engineering, Engineering Faculty, Azarbaijan Shahid Madani University, Tabriz, Iran
alirezashams.un@gmail.com
V.
Tamjidi
Department of Electrical Engineering, Engineering Faculty, Shahid Madani University, Tabriz, Iran
v.tamjidi@azaruniv.edu
10.22098/joape.2018.2436.1210
Electromagnetic forces in power transformer windings are produced by interaction between the leakage fluxes and current passing them. Since the leakage flux distribution along the windings height is in two axial and radial directions, so the electromagnetic forces have two components, radial and axial. There is a risk that a large electromagnetic force due to the short circuit or inrush currents, can cause the windings to be deform, rupture, and/or displace, if the transformer and winding holders structure is not designed or assembled properly. Also, these mechanical changes can damage insulation between two or more adjacent turns of a winding and so, produce the local inter-turn fault. Occurrence of any fault in windings will change the electromagnetic force distribution in transformers and will cause developing secondary faults. Hence, this contribution is aimed at characterizing the electromagnetic forces behavior in power transformers and determines the changes of force values after occurring winding mechanical and inter-turn. The study keeps at disposal a two-winding, three phase, 8 MVA power transformer, on their windings faults are imposed and investigated through the FEM analysis. The accuracy of the created FEM model is firstly validated using analytical methods for transformer healthy condition, and then the winding shorted turn fault along with the mechanical faults are considered using 3D FEM model. The extracted characteristic signatures attained to different type of winding faults is expected to be useful at the design stage of power transformers.
Power transformer,Electromagnetic forces,Finite element method (FEM),Interturn fault,Winding mechanical fault
http://joape.uma.ac.ir/article_635.html
http://joape.uma.ac.ir/article_635_cfc6367c365eaeb00851ee642eb372ff.pdf
University of Mohaghegh Ardabili
Journal of Operation and Automation in Power Engineering
2322-4576
2423-4567
6
1
2018
06
01
Coordinated resource scheduling in a large scale virtual power plant considering demand response and energy storages
50
60
EN
H.
M. Samakoosh
Mazandaran University of Science and Technology
hajarmohammadinia@gmail.com
M.
Jafari-Nokandi
Noshirvani University of Technology
m.jafari@nit.ac.ir
A.
Sheikholeslami
Noshirvani University of Technology
asheikh@nit.ac.ir
10.22098/joape.2018.3153.1257
Virtual power plant (VPP) is an effective approach to aggregate distributed generation resources under a central control. This paper introduces a mixed-integer linear programming model for optimal scheduling of the internal resources of a large scale VPP in order to maximize its profit. The proposed model studies the effect of a demand response (DR) program on the scheduling of the VPP. The profit of the VPP is calculated considering different components including the income from the sale of electricity to the network and the incentives received by the renewable resources, fuel cost, the expense of the purchase of electricity from the network and the load curtailment cost during the scheduling horizon. The proposed model is implemented in a large scale VPP that consists of five plants in two cases: with and without the presence of the DR. Simulation results show that the implementation of the DR program reduces the operation cost in the VPP, therefore increasing its profit.
Virtual power plant,Demand response,Distributed energy resources,storage, Mixed-integer linear programming
http://joape.uma.ac.ir/article_636.html
http://joape.uma.ac.ir/article_636_271e7836b49dcc5d545da388f996ddd0.pdf
University of Mohaghegh Ardabili
Journal of Operation and Automation in Power Engineering
2322-4576
2423-4567
6
1
2018
06
01
A Novel Algorithm for Rotor Speed Estimation of DFIGs Using Machine Active Power based MRAS Observer
61
68
EN
R.
Ajabi-Farshbaf
Sahand University of Technology (SUT)
r_ajabi@sut.ac.ir
M. R.
Azizian
Faculty of Electrical Engineering, Sahand University of Technology (SUT)
azizian@sut.ac.ir
V.
Yousefizad
Sahand University of Technology (SUT)
v_yousefizad@sut.ac.ir
10.22098/joape.2018.2132.1200
This paper presents a new algorithm based on Model Reference Adaptive System (MRAS) and its stability analysis for sensorless control of Doubly-Fed Induction Generators (DFIGs). The reference and adjustable models of the suggested observer are based on the active power of the machine. A hysteresis block is used in the structure of the adaptation mechanism, and the stability analysis is performed based on sliding mode conditions. Simulation and practical results show appropriate operation and speed tracking of the observer with regard to obtained stability conditions.
Active power,Doubly Fed Induction Generator (DFIG),MRAS-based observer,Stability analysis
http://joape.uma.ac.ir/article_637.html
http://joape.uma.ac.ir/article_637_7fd6bbaeeeed5be43d72f475a244da9d.pdf
University of Mohaghegh Ardabili
Journal of Operation and Automation in Power Engineering
2322-4576
2423-4567
6
1
2018
06
01
Degree of Optimality as a Measure of Distance of Power System Operation from Optimal Operation
69
79
EN
S.
Halilčević
University of Tuzla
suad.halilcevic@untz.ba
I.
Softić
University of Tuzla, Faculty of Electrical Engineering, Department for Power and Energy Engineering
izudin.softic@untz.ba
10.22098/joape.2018.3438.1273
This paper presents an algorithm based on inter-solutions of having scheduled electricity generation resources and the fuzzy logic as a sublimation tool of outcomes obtained from the schedule inter-solutions. The goal of the algorithm is to bridge the conflicts between minimal cost and other aspects of generation. In the past, the optimal scheduling of electricity generation resources has been based on the optimal activation levels of power plants over time to meet demand for the lowest cost over several time periods. At the same time, the result of that type of optimization is single-dimensional and constrained by numerous limitations. To avoid an apparently optimal solution, a new concept of optimality is presented in this paper. This concept and the associated algorithm enable one to calculate the measure of a system’s state with respect to its optimal state. The optimal system state here means that the fuzzy membership functions of the considered attributes (the characteristics of the system) have the value of one. That particular measure is called the “degree of optimality” (DOsystem). The DOsystem can be based on any of the system's attributes (economy, security, environment, etc.) that take into consideration the current and/or future state of the system. The calculation platform for the chosen electric power test system is based on one of the unit commitment solvers (in this paper, it is the genetic algorithm) and fuzzy logic as a cohesion tool of the outcomes obtained by means of the unit commitment solver. The DO-based algorithm offers the best solutions in which the attributes should not to distort each other, as is the case in a strictly deterministic nature of the Pareto optimal solution.
Economic dispatch,fuzzy logic,genetic algorithm,power system,optimality
http://joape.uma.ac.ir/article_638.html
http://joape.uma.ac.ir/article_638_7454ca8764e9fe43eece4d0e1baadacb.pdf
University of Mohaghegh Ardabili
Journal of Operation and Automation in Power Engineering
2322-4576
2423-4567
6
1
2018
06
01
A Novel Controller Based on Single-Phase Instantaneous p-q Power Theory for a Cascaded PWM Transformer-less STATCOM for Voltage Regulation
80
88
EN
M.
Abbasi
2Department of Electrical Engineering, Urmia University, Urmia, Iran
maysamabbasi2011@gmail.com
B.
Tousi
faculty of engineering, urmia university,
b.tousi@urmia.ac.ir
10.22098/joape.2018.3491.1278
In this paper, dynamic performance of a transformerless cascaded PWM static synchronous shunt compensator (STATCOM) based on a novel control scheme is investigated for bus voltage regulation in a 6.6kV distribution system. The transformerless STATCOM consists of a thirteen-level cascaded H-bridge inverter, in which each voltage source H-bridge inverter should be equipped with a floating and isolated capacitor without any power source. The proposed control algorithm uses instantaneous p-q power theory in an innovative way that devotes itself not only to meet the reactive power demand but also to balance the dc link voltages at the same time. DC link voltage balancing control consists of two main parts: cluster and individual balancing. The control algorithm based on a phase shifted carrier modulation strategy has no restriction on the number of cascaded voltage source H-bridge inverters. Comprehensive simulations are presented in MATLAB/ SIMULINK environment for validating the performance of proposed transformerless STATCOM.
Cascaded H-Bridge inverter,DC link voltage balancing,p-q theory,Transformerless STATCOM
http://joape.uma.ac.ir/article_639.html
http://joape.uma.ac.ir/article_639_c31d4960e08ef246bd10426d6ee8ba99.pdf
University of Mohaghegh Ardabili
Journal of Operation and Automation in Power Engineering
2322-4576
2423-4567
6
1
2018
06
01
Return on Investment in Transmission Network Expansion Planning Considering Wind Generation Uncertainties Applying Non-dominated Sorting Genetic Algorithm
89
100
EN
S.
Abbasi
Razi University
shahriarabasi@gmail.com
H.
Abdi
Razi University (Kermanshah)
hamdiabdi@razi.ac.ir
10.22098/joape.2018.3867.1303
Although significant private investment is absorbed in different sectors of power systems, transmission sector is still suffering from appropriate private investment. This is because of the pricing policies of transmission services, tariffs, and especially for investment risks. Investment risks are due to the uncertain behaviour of power systems that discourage investors to invest in the transmission sectors. In uncertain environment of power systems, a proper method is needed to find investment attractive transmission lines with high investment return and low risk. Nowadays, wind power generation has a significant portion in total generation of most power systems. However, its uncontrollable and variable nature has turned it as a main source of uncertainty in power systems. Accordingly, the wind power generation can play a fundamental role in increasing investment risk in the transmission networks. In this paper, impact of this type of generation on investment risk and returned investment cost in transmission network is investigated. With different levels of wind power penetration, the recovered values of investment cost and risk cost in transmission network are calculated and compared. This is a simple method to find investment attractive lines in presence of uncertainties. Wherein, transmission network expansion planning (TNEP) is formulated as a multi-objective optimization problem with objectives of minimizing the investment cost, maximizing the recovered investment cost and network reliability. The point estimation method (PEM) is used to address wind speed variations at wind farms sites in the optimization problem, and the NSGA II algorithm is applied to determine the trade-off regions between the TNEP objective functions. The fuzzy satisfying method is used to decide about the final optimal plan. The proposed methodology is applied on the IEEE 24-bus RTS and simplified Iran 400 kV network.
Point Estimation Method,Private Investment,Transmission Network Expansion Planning,Wind power Generation,NSGA II algorithm
http://joape.uma.ac.ir/article_640.html
http://joape.uma.ac.ir/article_640_a8e5cba18c9ecbd6894d8f8c96f377fc.pdf
University of Mohaghegh Ardabili
Journal of Operation and Automation in Power Engineering
2322-4576
2423-4567
6
1
2018
06
01
Two-Stage Inverter Based on Combination of High Gain DC-DC Converter and Five-Level Inverter for PV-Battery Energy Conversion
101
110
EN
R.
Esmaeilzadeh
دانشجو
rasoul_zadeh@yahoo.com
A.
Ajami
عضو هیات علمی
دانشگاه شهید مدنی آذربایجان
aajami83@yahoo.com
M. R.
Banaei
استاد دانشگاه شهید مدنی آذربایجان
m.banaei@azaruniv.ac.ir
10.22098/joape.2018.3958.1313
This paper proposes a new two-stage inverter based on transformer-less high gain DC-DC converter for energy conversion of a photovoltaic system. The designed system consists of a high gain DC-DC converter cascaded with a three-phase inverter. The proposed DC-DC converter has a simple structure, and it has one switch in its structure. The output voltage of the DC-DC converter supplies DC source for the inverter part of the multi-stage inverter. The advanced two-stage inverter sample was fabricated, then the findings of the acquired simulation and hardware warranted the configuration applicability. Finally, the MATLAB/SIMULINK is employed for the simulation of PV-battery system. The obtained results revel that the proposed power conversion system effectively chases the load and generation fluctuations and also properly handles the power mismatches in PV-battery system.
Renewable energy,Two-stage inverter,DC-DC converter,Multilevel inverter
http://joape.uma.ac.ir/article_641.html
http://joape.uma.ac.ir/article_641_b65778c2942a56c7fd5c19ddc3f56fef.pdf
University of Mohaghegh Ardabili
Journal of Operation and Automation in Power Engineering
2322-4576
2423-4567
6
1
2018
06
01
Probabilistic Power Distribution Planning Using Multi-Objective Harmony Search Algorithm
111
125
EN
A.
Rastgou
گروه مهندسی برق-دانشکده مهندسی - دانشگاه کردستان-سنندج ایران
abdollah.rastgo@gmail.com
J.
Moshtagh
گروه مهندسی برق- دانشکده مهندسی- دانشگاه کردستان- سنندج- ایران
j.moshtagh@uok.ac.ir
S.
Bahramara
گروه مهندسی برق- واحد سنندج- دانشگاه آزاد اسلامی- سنندج ایران
s_bahramara@yahoo.com
10.22098/joape.2018.3908.1309
In this paper, power distribution planning (PDP) considering distributed generators (DGs) is investigated as a dynamic multi-objective optimization problem. Moreover, Monte Carlo simulation (MCS) is applied to handle the uncertainty in electricity price and load demand. In the proposed model, investment and operation costs, losses and purchased power from the main grid are incorporated in the first objective function, while pollution emission due to DGs and the grid is considered in the second objective function. One of the important advantages of the proposed objective function is a feeder and substation expansion in addition to an optimal placement of DGs. The resulted model is a mixed-integer non-linear one, which is solved using a non-dominated sorting improved harmony search algorithm (NSIHSA). As multi-objective optimization problems do not have a unique solution, to obtain the final optimum solution, fuzzy decision making analysis tagged with planner criteria is applied. To show the effectiveness of the proposed model and its solution, it is applied to a 9-node distribution system.
Power distribution planning,Harmony search algorithm,Monte Carlo simulation,Fuzzy decision-making
http://joape.uma.ac.ir/article_642.html
http://joape.uma.ac.ir/article_642_63ddbe72ff7b225c90115d12937ae5dd.pdf
University of Mohaghegh Ardabili
Journal of Operation and Automation in Power Engineering
2322-4576
2423-4567
6
1
2018
06
01
Analysis of Switched Inductor Three-level DC/DC Converter
126
134
EN
E.
Salari
Azarbaijan Shahid Madani University
salari@azaruniv.edu
M. R.
Banaei
Azarbaijan Shahid Madani University
m.banaei@azaruniv.ac.ir
A.
Ajami
Electrical Engineering Dept. of Azarbaijan Shahid Madani University
ajami@azaruniv.edu
10.22098/joape.2018.4507.1353
A non-isolated DC/DC converter with high transfer gain is proposed in this paper. The presented converter consists of the switched inductor and three-level converters. The DC/DC power converter is three-level boost converter to convert the output voltage of the DC source into two voltage sources. The main advantages of DC/DC converter are using low voltage semiconductors and high gain voltage. The steady-state operation of the suggested converter is analyzed. A prototype is developed and tested to verify the performance of the proposed converter. To sum up, the MATLAB simulation results and the experimental results have transparently approved high efficiency of proposed converter as well as its feasibility.
renewable energy sources,PV-Battery system,non-isolated DC/DC converter,high gain DC/DC converter
http://joape.uma.ac.ir/article_643.html
http://joape.uma.ac.ir/article_643_d019abfc17c3557f1922c3a3857c22f5.pdf