电力系统保护与控制Issue(23)：76-81,6.
基于E占优的多目标二进制粒子群算法求解配电网故障恢复
Distribution network service restoration using a multi-objective binary particle swarm optimization based on E-dominance
摘要
Abstract
The classic multi-objective evolutionary algorithm based on Pareto dominance criteria and crowding distance sorting method does not consider the preference of decision maker in the iterative process, which leads to the decline of convergence performance. For the problem, this paper proposes a multi-objective binary particle swarm optimization based on E-dominance to solve distribution network service restoration. By adopting E-dominance strategy of improving the origin distance, it can integrate the preference of decision makers into the evaluation process. This paper adopts roulette strategy to update the global best solution and integrated value to maintenance the external files, which can effectively guide the next generation of particle with preference of decision makers during iterative process. Finally, an example shows that the approach has better convergence performance, less quantity and better quality on solution than the classic multi-objective algorithm based on Pareto dominance criteria and crowding distance.关键词
配电网/故障恢复/多目标二进制粒子群算法/E占优机制Key words
distribution network/service restoration/multi-objective binary particle swarm optimization/E-dominance分类
信息技术与安全科学引用本文复制引用
姚玉海,王增平,郭昆亚,金鹏..基于E占优的多目标二进制粒子群算法求解配电网故障恢复[J].电力系统保护与控制,2014,(23):76-81,6.基金项目
国家电网公司科技项目资助(KJ[2013]896) （KJ[2013]896）
