Islanding division of active distribution network with photovoltaic generation and time-varying load

被引：0
|
作者：
Tian J. [1 ]
Li A. [1 ]
Gao F. [1 ,2 ]
Zhao F. [1 ,2 ]
Geng F. [1 ]
机构：
[1] School of Automation and Electrical, Lanzhou Jiaotong University, Lanzhou
[2] Gansu Jiaoda Engineering Testing Technology Co., Ltd., Lanzhou
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2021年 / 42卷 / 09期
关键词：
Distribution networks; Fuzzy clustering; Islanding; Particle swarm optimization; Photovoltaic generation;
D O I：
10.19912/j.0254-0096.tynxb.2019-0985
中图分类号：
学科分类号：
摘要：
Aiming at islanding division of active distribution network with dynamic changes of photovoltaic generation and load power. Firstly, the time-varying model of optical storage system and load is established. Secondly, the fuzzy C-means clustering algorithm based on simulated annealing genetic algorithm is used to cluster according to the internal similarity of time-varying loads to complete fault recovery period division. And the problem of static islanding division of load status of each node is represented by the cluster center value of each node. On this basis, the islanding mathematical model is established and the feasible area of islanding power supply for optical storage system is determined. Finally, taking the IEEE 33 node system as an example, the improved binary particle swarm optimization algorithm is used to solve the model, and the islanding division scheme in each fault recovery period is obtained. © 2021, Solar Energy Periodical Office Co., Ltd. All right reserved.
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页码：125 / 131
页数：6
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