Configuration Method for Fault Current Limiter Based on Improved Biogeography-based Optimization Algorithm with Second Mutation

被引：0
|
作者：
Liang Y. [1 ]
Chen L. [1 ]
Li H. [1 ]
Wang G. [1 ]
Zeng D. [1 ]
Huang Z. [1 ]
机构：
[1] School of Electric Power, South China University of Technology, Guangzhou
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2020年 / 44卷 / 01期
关键词：
Biogeography-based optimization algorithm; Maximum breaking current of circuit breaker (CB); Optimal configuration of fault current limiter (FCL); Short-circuit current;
D O I：
10.7500/AEPS20190408009
中图分类号：
学科分类号：
摘要：
According to the optimal reconfiguration issues of switch type fault current limiter (FCL), a mathematical relevance model of maximum braking current of circuit breaker (CB) and reconfiguration of FCL is established to precisely evaluate the limiting effect after fault current limiter operates. On this basis, taking reactance values of FCL installed on two sides of each branch as optimal variables, and the best current limiting effect of per unit cost of FCL as an objective function, an configuration optimal model of FCL is constructed, in which the constraints of short-circuit current of buses, the maximum breaking current of CB and the maximum reactance of each FCL are considered. After that, the biogeography-based optimization (BBO) algorithm based on sinusoidal migration model and Cauchy mutation is adopted. Considering that the adjacent dimensions in optimization variables have similar influence on objective function, the second mutation operation between adjacent dimensions is introduced into the optimal algorithm and an improved BBO algorithm based on second mutation is proposed. Finally, in order to verify the performance of the proposed improved BBO algorithm, different optimization algorithms are applied to solve the optimal configuration model of FCL which takes a 500 kV regional power grid as an example. The results show that the improved BBO algorithm has better convergence rate, stability and searching ability. © 2020 Automation of Electric Power Systems Press.
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页码：183 / 191
页数：8
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