基于种间竞争遗传算法的配电网故障恢复  

Fault Service Restoration in Distribution Network Based on Interspecific Competitive Genetic Algorithm

作　　者：过羽丰[1] 程思远[1] 

机构地区：[1]西华大学电气信息学院,四川成都610039

出　　处：《现代电力》2011年第5期15-19,共5页Modern Electric Power

摘　　要：当配电网发生故障时,会出现剩余电源容量不够恢复所有的停电区域的情况,此时应以尽可能恢复更多的停电区域为目的。针对配电网自身的特点,确定了故障恢复模型所采用的目标函数及其约束条件,在基于种间竞争的遗传算法的基础上,引入了自适应策略,运用交叉算子和变异算子的自适应技术协调种内进化过程,通过种间竞争频率的自适应调剂促进最优个体的生成,并根据实际情况,对于染色体交叉、变异加以改进。算例分析表明,该算法具有更强的全局搜索能力和收敛速度,可以恢复更多的停电区域。When the fault occurs in distribution power grid, the remaining source capacity will not supply enough power for loads in power supply interrupted district,so the purpose at this time is to restore as much as load in that district.As to the characteristics of distribution power grid,the objective function and its constraints for fault service restoration model are proposed in the paper.Based on interspecific competitive generic algorithm,by using of adaptive strategy,the interspecific evolutionary process is coordinated by adaptive technique by crossover and mutation operators. Through adaptive regulating of interspecific competitive frequency to promote the generating of optimum individual, chromosome crossover and mutation are improved according to practical situation.Case analysis shows that the proposed algorithm has strong global searching ability and fast convergence speed,which can help to restore more loads in power supply interrupted district.

关 键 词：配电网 故障恢复 遗传算法 种间竞争 自适应策略 

分 类 号：TM715[电气工程—电力系统及自动化]