全球能源互联网（英文）2021，Vol.4Issue(5)：501-512,12.DOI:10.14171/j.2096-5117.gei.2021.05.007
基于遗传算法的多类型故障限流器选址优化
Placement optimization of Multi-Type fault current limiters based on genetic algorithm
摘要
Abstract
The fault current limiter (FCL) is an effective measure for improving system stability and suppressing short-circuit fault current. Because of space and economic costs, the optimum placement of FCLs is vital in industrial applications. In this study, two objectives with the same dimensional measurement unit, namely, the total capital investment cost of FCLs and circuit breaker loss related to short-circuit currents, are considered. The circuit breaker loss model is developed based on the attenuation rule of the circuit breaker service life. The circuit breaker loss is used to quantify the current-limiting effect to avoid the problem of weight selection in a multi-objective problem. The IEEE 10-generator 39-bus system in New England is used to evaluate the performance of the proposed genetic algorithm (GA) method. Comparative and sensitivity analyses are performed. The results of the optimized plan are validated through simulations, indicating the significant potential of the GA for such optimization.关键词
故障限流器/遗传算法/多目标优化/断路器损耗/短路电流/选址Key words
Fault current limiter/Genetic algorithm/Multi-objective/Circuit breaker loss/Short-circuit current/Placement引用本文复制引用
金国锋,谭捷,刘玲玲,王川,袁铁江..基于遗传算法的多类型故障限流器选址优化[J].全球能源互联网（英文）,2021,4(5):501-512,12.基金项目
This work was supported by State Grid Science and Technology Projects(SGTYHT/17-JS-199)and National Natural Science Foundation of China(51577163). （SGTYHT/17-JS-199）
