期刊论文

Gao, Y.-L.

中文

电力系统保护与控制

1674-3415

2014

42

19

26-31

(2011JG002):电力与交通安全监控及节能技术教育部工程中心资助项目

本校为第一且通讯机构

为了提高含 DG 配电网故障定位的速度和容错性,提出利用高度并行、鲁棒性强的遗传算法来优化基本和声算法对初始化和声记忆库的过度依赖性,改进了和声算法中新解的产生方式。针对含 DG 配电网的结构特点引入“树”的区域划分方法以降低求解维度,根据故障定位最小集理论优化评价函数以提高容错性。分别利用优化前、后的和声算法对相同配电网模型进行寻优运算和分析比较,结果表明优化的和声搜索算法能够有效地提高算法收敛速度和故障定位精度,在信息缺失、畸变等情况下具有良好的容错性。

In order to improve the speed and fault tolerance of the distribution network with distributed generator (DG), this paper uses highly parallel and robust genetic algorithm to solve the over-reliance on the initialized harmony memory of basic harmony algorithm, and improves the data processing way of harmony algorithm. According to the structure characteristics of the distribution network with DG, the "tree" division method is used to decrease the function solving degree. In order to improve the fault tolerance, the minimum set theory is used to improve fault location evaluated function. The op...