摘要
提出了基于云理论自适应遗传算法并面向负荷投切的舰船电力系统故障智能恢复策略,该方法在考虑负荷和开关优先级及线路负荷分配均衡的基础上,借助于正态云固有的稳定倾向性和随机性,由云发生器自适应调整交叉率和变异率,增强了算法鲁棒性,改善了算法收敛速度。算例分析验证了基于云理论自适应遗传算法多目标故障恢复策略的可行性和有效性,且优于标准遗传算法和传统自适应遗传算法,具有一定的实用价值。
A load switching-oriented and intelligent service restoration strategy based on cloud-theory adaptive genetic algorithm is proposed for shipboard power system,which considers the priorities of load and switch and the balance of load distribution,varies the probabilities of crossover and mutation adaptively by the cloud generator with the inherent stable tendency and randomness of normal cloud,and improves the robustness and convergence speed of algorithm.Case study verifies the feasibility and effectiveness of the proposed strategy and shows its superiority over the standard genetic algorithm and traditional adaptive genetic algorithm.
出处
《电力自动化设备》
EI
CSCD
北大核心
2012年第3期47-53,共7页
Electric Power Automation Equipment
基金
国家重点基础研究发展计划项目(973项目)(2009-CB219703)~~
关键词
故障恢复
网络重构
舰船电力系统
云理论
自适应遗传算法
优化
service restoration
network reconfiguration
shipboard power system
cloud-theory
adaptive genetic algorithm
optimization
