Multi-stage dynamic optimal allocation for battery energy storage system in distribution networks with photovoltaic system

被引：8
|
作者：
Chen, Jian [1 ]
Jiang, Xinyi [1 ]
Li, Jiaqi [1 ]
Wu, Qiuwei [1 ,2 ]
Zhang, Yicheng [3 ]
Song, Guanyu [4 ]
Lin, Da [5 ]
机构：
[1] Shandong Univ, Key Lab Power Syst Intelligent Dispatch & Control, Minist Educ, Jinan 250061, Peoples R China
[2] Tech Univ Denmark, Dept Elect Engn, Ctr Elect Power & Energy, Lyngby, Denmark
[3] Nanyang Technol Univ, Sch Elect & Elect Engn, Jurong West, Singapore
[4] Tianjin Univ, Key Lab Smart Grid, Minist Educ, Tianjin, Peoples R China
[5] Zhejiang Elect Power Corp Res Inst, Hangzhou, Peoples R China
来源：
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS | 2020年 / 30卷 / 12期
基金：
中国国家自然科学基金;
关键词：
battery energy storage system; multi-stage dynamic; GA-GSA; optimal allocation; OPTIMAL ESS ALLOCATION; RENEWABLE ENERGY; CONTROL STRATEGY; OPTIMIZATION; GENERATION; ALGORITHM;
D O I：
10.1002/2050-7038.12644
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：
In this article, a multi-stage optimal allocation method for battery energy storage system (BESS) in distribution networks with photovoltaic (PV) system is proposed, which is to obtain its optimal installation location, capacity, power, and investment time. This method takes the time value of money, the PV growth rate, and the load increase during the investment period into consideration. Firstly, genetic algorithm and gravity search algorithm are combined to solve a single-stage static optimal allocation problem and the BESS installation location and parameters in target year are obtained. Then, the obtained parameters are regarded as constraints and a heuristic multi-path forward dynamic programming method is used to determine the specific investment time of each equipment. Finally, a case study is used to verify the effectiveness and the economy of the proposed method. The research provides a theoretical basis for the optimal allocation of BESS in distribution networks.
引用
收藏
页数：20
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