基于改进遗传算法的供电设备检修计划的优化

Optimization of on Power Supplying Equipment Maintenance Scheduling based on Improved Genetic Algorithm

电网规模的不断扩大,设备急剧增多,加上状态检修等约束条件的引入,人工计划安排越来越困难。为此引入优化检修计划模型。它采用了整数编码、随机交叉、有约束的变值变异的策略及有效的适值函数,以遗传算法进行求解。实际算例表明,能有效地优化设备的检修,达到了避免重复停电和提高电网安全的目的。

Continueous expansion of power grid results the amount of equipment increases rapidly and artificial planning of equipment maintenance under the restiction of status becomes difficult. Thus an optimized mode of scheduling is introduced. It applies integer coding, stochestic crossing, tactics of restricted changeable variation, effective calibration function, and making solution via improved genetic algolithm. Example calculation denotes that this planning model can effectively optimize maintenance work, avoid repeatition outage of power equipment and maintain the safe operation of power grid.