Multi-objective Extended Reactive Power Optimization in Distribution Network with Photovoltaic-storage Systems

被引：0

作者：

Li, Hongxin ^{[1
]}

Hong, Chao ^{[1
]}

Yang, Yuyao ^{[2
]}

Yi, Yingqi ^{[2
]}

Chen, Xu ^{[2
]}

Zhang, Yongjun ^{[2
]}

机构：

[1] China Southern Power Grid Co Ltd, Technol Res Ctr, Guangzhou, Guangdong, Peoples R China

[2] South China Univ Technol, Sch Elect Power, Guangzhou, Guangdong, Peoples R China

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON) | 2016年

关键词：

reactive power optimization; photovoltaic; energy storage system; NSGA-II;

D O I：

暂无

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：

More and more photovoltaic (PV)-storage systems are embedded to distribution networks (DNs), followed by new challenges to its optimal dispatches. A multi-objective extended reactive power optimization (MERPO) model for DNs with embedded PV-storage systems is proposed in the paper. In this model, minimum power loss and voltage violation risk are set as objectives. Meanwhile, unlike traditional reactive power optimization models, the active and reactive power regulation capability of PV-storage systems is considered. The genetic algorithm NSGA-II is implemented to perform the optimization and the Pareto front of objective function can be worked out. The best compromise solution is achieved by fuzzy method. The simulation results demonstrate that the proposed EMRPO model can realize the coordinated optimization of active and reactive power flow and enhance the voltage safety margin while tapping the potential for reducing loss in DNs.

引用

页数：5

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