电力系统保护与控制Issue(23)：85-90,6.
基于改进的自适应遗传算法的智能配电网重构研究
Reconfiguration of smart distribution using improved adaptive genetic algorithm
胡雯 1孙云莲 1张巍2
作者信息
- 1. 武汉大学电气工程学院，湖北 武汉 430072
- 2. 常德电业局，湖南 常德 415000
- 折叠
摘要
Abstract
Service restoration of distribution systems is a major controlling method of realizing self-healing for smart distribution. This paper presents an improved genetic algorithm for distribution network service restoration reconfiguration. An encoding strategy based on loop is proposed according to the structure character of distribution network with distributed generation, so the invalid solutions that represent rings or islands can be reduced. The adaptation crossover rate and mutation rate make the algorithm alterable based on population evolution, which protects the optimized individual. The adaptive population size can improve the convergence properties of the genetic algorithm, based on the individual lifetime and size control. The proposed algorithm is simulated in the IEEE 33-bus system, and it shows the access of distributed generation can effectively reduce the network loss. Compared with the other algorithm, the results show that it is more stable and has faster convergence.关键词
改进遗传算法/配电网重构/分布式电源/自适应种群规模Key words
improved genetic algorithm/reconfiguration of distribution/distributed generation (DG)/adaptive population size分类
信息技术与安全科学引用本文复制引用
胡雯,孙云莲,张巍..基于改进的自适应遗传算法的智能配电网重构研究[J].电力系统保护与控制,2013,(23):85-90,6.
