快速开关型故障限流器多目标优化配置研究

为使快速开关型故障限流器(fast switch fault current limiter, FSFCL)在系统应用中发挥其最大优势,提出一种配置FSFCL多目标优化新方法。首先,针对FSFCL配置组合方案多、算法搜索范围大、寻优效率低下问题,提出基于超标节点短路电流变化总量的灵敏度法。其次,计及加装FSFCL后对系统所有节点短路电流的综合影响,提出一种权衡局部与全局限流效果的衡量指标,并在此基础上兼顾经济成本,建立FSFCL优化配置模型。最后,采用灰狼算法进行求解,并在传统灰狼算法上引入非线性余弦型收敛因子,通过对IEEE30案例进行仿真验证,表明基于改进灰狼算法的pareto最优解集分布更加均匀且跨度更大,设计者可根据实际需求从中选取配置方案。

Research on Multi-objective Optimal Configuration of Fast Switching Fault Current Limiter

In order to make the fast switch fault current limiter(FSFCL) exert its maximum advantage in the system application, a new method for configuring fast switch fault current limiter multi-objective optimization is proposed. First of all, in view of the problems of multiple FSFCL configuration combinations, large algorithm search range, and low optimization efficiency, a sensitivity method based on the total amount of short-circuit current changes of the over-standard nodes is proposed. Secondly, taking into account the comprehensive impact of the installation of FSFCL on the short-circuit current of all nodes in the system, a measurement index that weighs the effects of local and global current limiting is proposed, and on this basis, the economic cost is taken into account, and the FSFCL optimal configuration model is established. Finally, the gray wolf algorithm is used to solve the problem, and a nonlinear cosine-type convergence factor is introduced to the traditional gray wolf algorithm. The simulation verification of the IEEE30 case showed that the pareto optimal solution set distribution based on the improved gray wolf algorithm was more uniform and had a longer span. The designer can choose the configuration scheme according to the actual needs.