基于自适应多种群遗传算法的多目标配电网故障恢复

包含分布式电源(distributed generation,DG)的配电系统,在发生大面积断电时,其供电恢复是一个多目标、多约束的复杂优化问题.文章考虑用户优先等级,基于负荷恢复量,手动开关和遥控开关的动作次数以及恢复供电后的网损,建立了包含DG的配电系统的多目标供电恢复模型,并提出一种改进的遗传算法来处理配电网故障...

Multi-objective Distribution Network Fault Restoration Based on Adaptive Multiple Population Genetic Algorithm

When the distribution system with distributed generation （DG） occurred a large area blackout, the power restoration is a multi-objective and complex issue. Considering the user priorities, based on the quantity of load resto-ration, the action number of hand ＆ remote switch and the network loss after service restoration, a multi-objective service restoration model for distribution system with DG was presented in this article, and was an improved genetic algorithm to deal with the issues of distribution network fault restoration proposed. Using the concepts of multiple population evaluation and the migration of individuals between populations, through the adjustment of adaptive control parameters, it avoided premature effectively, improved the search range and efficiency of the algorithm, better solved problems of distribution network fault restoration. Theoretical analysis and example showed that this algorithm has high convergence, strong real-time and global stability.