Fault recovery strategy of active distribution network based on mutation particle swarm optimization algorithm

被引：0
作者：
Xu Y. [1 ]
Zhang H. [1 ]
Sun Y. [1 ]
机构：
[1] State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2021年 / 41卷 / 12期
关键词：
Active distribution network; Fault recovery; Island partition; Mutation particle swarm optimization algorithm; Optical storage system;
D O I：
10.16081/j.epae.202108030
中图分类号：
学科分类号：
摘要：
In order to improve the rapidity and reliability of fault recovery in the active distribution network, a fault recovery strategy based on mutation particle swarm optimization algorithm is proposed. The construction of optical storage system and load characteristic model is the basis of the research strategy. The optical storage model is used to ensure reliable load recovery. The load characteristic model is constructed according to the time-varying characteristics of the load and user-side demand while considering the controllable load. Based on the optical storage system and load characteristic model, the fault recovery strategy is studied. Firstly, the distribution network is dynamically islanded, and the optical storage is used to reliably restore the load in the island to ensure that the load with high user-side demand is restored first. With the least total power-loss load, the least power loss and the least number of switching operations as the comprehensive objective function, the mutation particle swarm optimization algorithm is used to obtain a comprehensive fault recovery strategy for the distribution network that cooperates with the island and the main network, which improves the reliability of the active distribution network. Finally, taking IEEE 33-bus system as a simulation example, the results verify the superiority of the model and the recovery strategy. © 2021, Electric Power Automation Equipment Press. All right reserved.
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页码：45 / 53
页数：8
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