Battery Energy Storage Placement in a Solar PV Based Distribution System

被引：0
|
作者：
Nayar, P. [1 ]
Miroshnichenko, A. [1 ]
Anavatti, S. [1 ]
机构：
[1] Univ New South Wales, Sch Engn & IT, Canberra, ACT, Australia
来源：
2021 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT ASIA) | 2021年
关键词：
Battery; distribution system; losses; optimal location; optimal operation; genetic algorithm; VOLTAGE REGULATION; NETWORK; MANAGEMENT; OPERATION; STRATEGY;
D O I：
10.1109/ISGTASIA49270.2021.9715590
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This work proposed here presents a novel approach for selecting the optimised placement of battery to minimize the power losses in a distribution network. A meta-heuristic optimization algorithm known as genetic algorithm is employed to perform the optimization. In the work proposed, a charging/discharging strategy for battery is used to enhance the battery services. This study ensures a continuous power supply to the loads through the system operation constraints. The proposed algorithm is tested on a portion of the IEEE European low voltage (LV) test feeder using MATLAB simulation engine.The simulation results shows that the losses can be significantly reduced after placing the battery at the optimal location.
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页数：7
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