Multi-agent Classified Voltage Regulation Method for Photovoltaic User Group

被引：0
|
作者：
Yu S. [1 ]
Liu N. [1 ]
Zhao B. [2 ]
机构：
[1] State Key Laboratory of Alternative Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing
[2] Electric Power Research Institute of State Grid Zhejiang Electric Power Co., Ltd., Hangzhou
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2022年 / 46卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Classified voltage regulation; Differential evolution algorithm; Photovoltaic user group; Stackelberg game; Voltage violation;
D O I：
10.7500/AEPS20210517014
中图分类号：
学科分类号：
摘要：
Large-scale access of distributed photovoltaic causes the problem of voltage violation in the distribution network. As a new type of agent for voltage regulation, the autonomy and multi-agent interaction coupling of photovoltaic increase the difficulty of the voltage regulation in distribution networks. Therefore, a multi-agent classified voltage regulation method for photovoltaic user group is proposed. Firstly, the classified model is established according to the voltage regulation capacity and voltage support index of photovoltaic. Then, on the basis of classification, the interaction and coupling characteristics of multiple agents in the process of voltage regulation in distribution networks are studied using the Stackelberg game model. Distribution network operators as the leader, determine the compensated price of voltage regulation while ensuring the safe and stable operation of the power grid. Photovoltaic users, as the follower, optimize the reactive power regulation strategy with the goal of maximizing voltage regulation benefit based on the voltage regulation price. Finally, it is proved that the proposed method can effectively solve the problem of voltage violation and improve the benefits of photovoltaic users by the simulation analysis. © 2022 Automation of Electric Power Systems Press.
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页码：20 / 30
页数：10
相关论文
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