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

作　　者：胡雯[1] 孙云莲[1] 张巍 

机构地区：[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

出　　处：《电力系统保护与控制》2013年第23期85-90,共6页Power System Protection and Control

摘　　要：配电网故障恢复重构是智能配电网实现自愈功能的控制手段。采用改进的自适应遗传算法进行配电网故障后的恢复重构:根据接入分布式电源的配电网的特点提出基于环路的编码策略,可以减少表示孤岛的不可行解;自适应的交叉率、变异率使算法可以根据种群进化情况改变,保护优秀个体;自适应的种群规模是基于个体寿命和规模控制,可以提高遗传算法的收敛性能。通过IEEE33节点配电网络中对算法进行仿真验证,表明分布式电源的接入可以有效地降低网络损耗;对比其他算法,具有更快的收敛速度和更好的稳定性。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 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TM73[自动化与计算机技术—控制科学与工程]