Current limiters configuration has received considerable attention in recent years. The defects of existing mathematical models and algorithms around this topic are analyzed, and a multi-objective configuration methodology is proposed. The innovations of this methodology include two aspects: firstly, presenting a rigor mathematical definition of the optimization problem considering the total cost of current limiters, the amplitude of short-circuit current, as well as system transient stability; secondly, providing a modified parallel non-dominated sorting genetic algorithm- Ⅱ(PNSGA-Ⅱ) to search the Pareto optimal solutions, which achieves a strong global optimization ability and an excellent convergence speed.%分析了当前限流措施优化模型和算法存在的缺陷,提出了综合考虑安全性、稳定性、经济性的限流措施多目标优化模型.在潮流约束下,模型以总投资成本最小、故障后功角稳定性最佳、短路电流综合越限最小为优化目标,并且引入带精英策略的改进非支配排序遗传算法,结合基于限流效果灵敏度的支路筛选策略,应用于Pareto最优限流措施的求解.为提升优化速度,在MATLAB计算平台上对改进非支配排序遗传算法进行了主从并行改造.最后,结合改进的新英格兰10机39节点系统优化结果,验证了所提出的多目标优化方法有效、可行.
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