基于非支配排序遗传改进算法的故障限流器的优化配置

Optimization of Fault Current Limiter Configuration Based on Improved NSGA-2

针对电网中故障限流器(fault current limiter,FCL)的优化配置问题,采用一种基于局部差分方法改进的非支配排序遗传算法(non-dominated sorting genetic algorithm,NSGA)-2,该算法比原算法有更好的全局寻优能力,且在故障限流器的优化配置上性能更优。首先通过对系统短路电流进行计算,筛选短路电流超标节点以及故障限流器可靠触发支路,分析加装故障限流器对系统阻抗矩阵的影响,并通过灵敏度法简化搜索空间。然后分析故障限流器优化配置问题的目标函数与约束条件,并对NSGA-2存在的问题进行分析,利用局部差分方法对NSGA-2进行改进并制定算法流程。最后对IEEE-30节点系统进行了仿真,对改进的NSGA-2算法与原来NSGA-2算法进行了对比。结果表明,改进的NSGA-2在收敛性能上表现更好,最优解更稳定。

Aiming at optimization of Fault Current Limiter（FCL） configuration in power system, improved non-dominated sorting genetic algorithm based on local differential method was used. This algorithm had better global search ability than the original one, and had better performance in FCL configuration optimization. Nodes with short-circuit currents violating standard were selected with system short-circuit current calculation, and branches where FCL could be triggered reliably were chosen. By analyzing influence of FCL installation on system impedance matrix, search space was simplified with sensitivity method. Flowchart was drafted after analyzing objective function, constraints of FCL configuration optimization and shortcomings of NSGA-2, and modifying NSGA-2 with local differential method. Finally, simulation results in IEEE-30 bus system of both modified and original NSGA-2 showed that the modified one had better convergence performance and could get more stable optimal solutions.