Joint Optimization Control of Active and Reactive Power for DSTATCOM with Battery Energy Storage System

被引：0
|
作者：
Liu H. [1 ]
Fu Y. [1 ]
Su X. [1 ]
Meng X. [1 ]
Liu J. [1 ]
机构：
[1] School of Electric Power Engineering, Shanghai University of Electric Power, Shanghai
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2020年 / 44卷 / 01期
基金：
国家重点研发计划;
关键词：
Battery energy storage system (BESS); Direct load flow; Distribution static synchronous compensator (DSTATCOM); Improved particle swarm optimization; Multi-objective optimization; Unbalanced active distribution network;
D O I：
10.7500/AEPS20190512005
中图分类号：
学科分类号：
摘要：
Joint control of active and reactive power for distribution static synchronous compensator embedded with battery energy storage system (B-DSTATCOM) can effectively mitigate problems caused by large-scale distributed generators with high volatility integrated into distribution network, such as voltage violation, increased network loss and three-phase unbalance. Therefore, this paper proposes a real-time joint optimization control strategy of active and reactive power for B-DSTATCOM in unbalanced active distribution networks considering the impacts of photovoltaic generation. Firstly, the operation principle of B-DSTATCOM within four quadrants is studied. On this basis, a real-time multi-objective optimization control model of active and reactive power for B-DSTACTOM is established, in which the voltage deviation, network loss, voltage unbalance and operation cost are used as sub-objective functions. Then, the optimal control scheme is jointly solved by the weighted sum method, improved particle swarm optimization method and direct load flow algorithm. Finally, the effectiveness, practicability and robustness of the proposed control strategy are verified based on MATLAB simulation of an actual unbalanced distribution network with photovoltaic sources in Australia. © 2020 Automation of Electric Power Systems Press.
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页码：134 / 141
页数：7
相关论文
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