基于并行非支配排序遗传算法的限流措施多目标优化

YE Chengjin; HUANG Minxiang; CHEN Lili; LIU Chang

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基于并行非支配排序遗传算法的限流措施多目标优化

更新时间：2025-08-13

- 基于并行非支配排序遗传算法的限流措施多目标优化
- Automation of Electric Power Systems Vol. 37, Issue 2, Pages: 49-55(2013)
- 作者机构：
  
  1. 浙江大学电气工程学院,浙江省,杭州市,310027
  2. 浙江水利水电专科学校,浙江省,杭州市,310018
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2013
- 稿件说明：
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YE Chengjin, HUANG Minxiang, CHEN Lili, et al. [J]. Automation of electric power systems, 2013, 37(2): 49-55.
DOI：

YE Chengjin, HUANG Minxiang, CHEN Lili, et al. [J]. Automation of electric power systems, 2013, 37(2): 49-55. DOI：

摘要

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。

Abstract

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.

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