湖南大学学报（自然科学版）2016，Vol.43Issue(8)：78-84,7.
兼顾技术经济性的永磁偏置型故障限流器优化配置算法
Optimal Allocation Algorithm of Permanent-magnet-biased Saturation Based Fault Current Limiter Combining Technology and Economic Considerations
摘要
Abstract
An algorithm for optimally allocating Permanent-magnet-biased Saturation based Fault Cur-rent Limiter (PMFCL)in large power grid was presented.The current-limiting mechanism of PMFCLs was briefly introduced.Short-circuit current margin was defined and can be used as the criteria of over-standard bus selection.Bus self-impedance was regarded as the measurement index of short circuit level. On account of the increment of bus self-impedance,an optimal allocation evaluation function with consider-ation of the overall current-limiting effect and economy was built.It is proposed that the starting condition of PMFCLs and the sensitivity index of bus self-impedance with respect to the branch impedance can be utilized to greatly decrease the searching space.Finally,the algorithm for optimally allocating PMFCLs was concluded on the basis of evaluation function and sensitivity index.Simulation of IEEE 3 9-bus system was completed by using the proposed optimal allocation algorithm and genetic algorithm function of Mat-lab.The result suggests that the process of optimal allocation has relatively higher efficiency when com-pared with the method,in which sensitivity is not considered,the short current of over-standard substa-tions is restrained successfully and some abundant values are reserved.Furthermore,the effect of current limiting is better when the current exceeds the standard one more seriously.It verifies the feasibility and effectiveness of the proposed optimal allocation algorithm.关键词
永磁偏置型故障限流器/大电网/优化配置/技术经济性/评价函数/灵敏度指标/遗传算法Key words
Permanent-magnet-biased Saturation based Fault Current Limiter/large power gird/opti-mal allocation/technology and economy/evaluation function/sensitivity index/genetic algorithms分类
信息技术与安全科学引用本文复制引用
邹亮,伍珈乐,刘涛,赵彤,张黎..兼顾技术经济性的永磁偏置型故障限流器优化配置算法[J].湖南大学学报（自然科学版）,2016,43(8):78-84,7.基金项目
国家自然科学基金资助项目（51307102），National Natural Science Foundation of China（51307102）；新能源电力系统国家重点实验室开放课题（LAPS14007）；高等学校博士学科点专项科研基金资助项目 （）
