【论文推荐】国网内蒙古东部电力公司金国锋等：基于遗传算法的多类型故障限流器选址优化

文章导读

配置故障限流器（FCL）是提高电力系统稳定性和抑制短路电流的有效措施。考虑到有限安装空间和经济成本，FCL选址的优化在工业应用中至关重要。提出以具有相同量纲的两个指标作为优化目标，即FCL总投资成本和与短路电流相关断路器损耗成本。基于断路器使用寿命的衰减规律建立了断路器损耗成本模型，用于量化FCL的限流效果，避免了多目标问题中的经验权重选择问题。基于新英格兰IEEE 39节点系统进行了性能测试，并与其它方法进行比较分析，还进行了参数灵敏度分析。结果验证了所提方法的正确性和遗传算法的适用性。

Placement Optimization of Multi-Type Fault Current Limiters Based on Genetic Algorithm

基于遗传算法的多类型故障限流器选址优化

Guofeng Jin¹, Jie Tan², Lingling Liu¹, Chuan Wang³, Tiejiang Yuan²

(1.Economic Research Institute, East Inner Mongolia Electric Power Company, Huhhot 010010, P.R. China 2.School of Electrical Engineering, Dalian University of Technology, Dalian 116024, P.R. China 3.Anhui Huidian Science and Technology Co., Ltd., Hefei 230088, P.R. China)

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Placement optimization of Multi-Type fault current limiters

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.

Keywords

Fault current limiter, Genetic algorithm, Multi-objective, Circuit breaker loss, Short-circuit current, Placement.

Fig.1 Optimization flowchart

Fig.2IEEE 10-generator 39-bus system

Fig.3Comparison of current-limiting effects for different methods

Fig.4 Best and mean fitness values for each iteration

本文引文信息

Jin G, Tan J, Liu L, Wang C, Yuan T (2021) Placement optimization of Multi-Type fault current limiters based on genetic algorithm. Global Energy Interconnection, 4(5): 501-512

金国锋, 谭捷, 刘玲玲, 王川, 袁铁江 (2021) 基于遗传算法的多类型故障限流器选址优化. 全球能源互联网（英文）, 4(5): 501-512

Biographies

Guofeng Jin

Guofeng Jin received bachelor’s degree at North China Electric Power University, Beijing, China, 2003. He is working in Economic Research Institute, East Inner Mongolia Electric Power Company, State Grid, Huhhot, China. His research interests includes power grid planning and construction.

Jie Tan

Jie Tan received bachelor’s degree at Xinjiang University, Urumqi, China, 2017. He is working towards phD at Dalian University of Technology, Dalian, China. His research interests includes power system analysis and renewable energy.

Lingling Liu

Lingling Liu received bachelor’s degree at Northeast Electric Power University, Jilin, China, 2001. She is working in Economic Research Institute, East Inner Mongolia Electric Power Company, State Grid, Huhhot, China. Her research interests includes power grid planning and construction.

Chuan Wang

Chuan Wang received bachelor’s degree at Hefei University of Technology, Hefei, China, 1974, and received master degree and phD at Institute of Plasma Physics Chinese Academy of Sciences, Hefei, China, 1984 and 1987. He is the chairman of Canada Maxwell Technology Co., Ltd. and Anhui Huidian Technology Co., Ltd. His research interests

includes fault current limiter and high voltage control.

Tiejiang Yuan

JTiejiang Yuan received bachelor’s degree at Lanzhou Jiaotong University, Lanzhou, China and received phD at Xinjiang University, Urumqi, China. He is working in Dalian University of Technology, Dalian, China. His research interests includes power system analysis and renewable energy.y.

编辑：王彦博

审核：王伟

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Placement Optimization of Multi-Type Fault Current Limiters Based on Genetic Algorithm

【论文推荐】国网内蒙古东部电力公司 金国锋等：基于遗传算法的多类型故障限流器选址优化

郑重声明

【论文推荐】国网内蒙古东部电力公司金国锋等：基于遗传算法的多类型故障限流器选址优化