Optimal Placement of Electric Vehicle Charging Stations in an Active Distribution Grid with Photovoltaic and Battery Energy Storage System Integration

被引:8
|
作者
Deeum, Saksit [1 ]
Charoenchan, Tossaporn [1 ]
Janjamraj, Natin [2 ]
Romphochai, Sillawat [1 ]
Baum, Sergej [3 ]
Ohgaki, Hideagi [4 ]
Mithulananthan, Nadarajah [5 ]
Bhumkittipich, Krischonme [1 ]
机构
[1] Rajamangala Univ Technol Thanyaburi RMUTT, Dept Elect Engn, Fac Engn, Khlong Luang 12110, Pathum Thani, Thailand
[2] Rajamangala Univ Technol Thanyaburi RMUTT, Fac Engn, Dept Elect & Telecommun Engn, Khlong Luang 12110, Pathum Thani, Thailand
[3] Stadler PLC, Dept Elect Engn, CH-9430 St Margrethen, Switzerland
[4] Kyoto Univ, Inst Adv Energy, Uji, Kyoto 6110011, Japan
[5] Univ Queensland, Sch Informat Technol & Elect Engn, Fac Engn Architecture & Informat Technol, Brisbane, Qld 4072, Australia
关键词
EV charging stations; PV and battery energy storage system; genetic algorithm; forward and backward sweep; power losses; minimization; DISTRIBUTION NETWORKS; RENEWABLE ENERGY; OPTIMIZATION; OPERATION;
D O I
10.3390/en16227628
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This article presents the optimal placement of electric vehicle (EV) charging stations in an active integrated distribution grid with photovoltaic and battery energy storage systems (BESS), respectively. The increase in the population has enabled people to switch to EVs because the market price for gas-powered cars is shrinking. The fast spread of EVs depends solely on the rapid and coordinated growth of electric vehicle charging stations (EVCSs). Since EVCSs can cause power losses and voltage variations outside the permissible limits, their integration into the current distribution grid can be characterized by the growing penetration of randomly dispersed photovoltaic (PV) and battery energy storage (BESS) systems, which is complicated. This study used genetic algorithm (GA) optimization and load flow (accommodation of anticipated rise in the number of electric cars on the road) analysis with a forward and backward sweep methodology (FBSM) to locate, scale and optimize EVCSs from a distribution grid where distributed PV/BESSs are prevalent. Power optimization was demonstrated to be the objective issue, which included minimizing active and reactive power losses. To verify the proposed optimal objective solutions from the active distribution grid, an IEEE 33 bus distribution grid was considered for EVCSs' optimization under the penetration of photovoltaic and BESS systems. MATLAB simulations for the integrated EVCS-PV-BESS system on the distribution grid for five different zones were performed using detection from zone 1 (ranging from 301.9726 kW to 203.3872 kW), reducing the power losses (accounting for 33%) in the system to a minimum level.
引用
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页数:26
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