摘要
为减少检修成本,优化电网检修时间,基于Prim初始种群选取优化遗传算法进行电网检修计划决策优化。分析电网故障检修的风险损失,建立检修决策目标函数,构建检修约束规则库;基于遗传算法增强决策搜索范围,标定电网种群编码结构,计算适应值函数,得到Prim初始种群选取优化变异概率;建立电网检修计划优化模型,根据目标函数求解电网最佳检修时间。实验结果表明,一天内停运成本最小的检修电网最优时间为3:48,应用本文方法后,检修成本节约了10.8万元。
In order to reduce the maintenance cost and optimize the maintenance time of power grid,the optimization genetic algorithm based on prim initial population selection is used to optimize the decision-making of power grid maintenance plan.Analyze the risk loss of power grid fault maintenance,establish the maintenance decision-making objective function,and build the maintenance constraint rule base.Based on genetic algorithm,the decision search range is enhanced,the coding structure of power grid population is calibrated,and the fitness function is calculated to obtain the optimal mutation probability of prim initial population selection.The optimization model of power grid maintenance plan is established,and the optimal maintenance time of power grid is solved according to the objective function.The experimental results show that the optimal time to overhaul the power grid with the lowest outage cost in a day is 3:48.After applying this method,the overhaul cost is saved by 108000 yuan.
作者
刘钰
白守湖
李元
王册册
张颖
LIU Yu;BAI Shou-hu;LI Yuan;WANG Ce-ce;ZHANG Ying(Haixi Electric Power Corporation,Golmud 816099 China)
出处
《自动化技术与应用》
2025年第1期119-123,共5页
Techniques of Automation and Applications
基金
国网青海省电力公司海西供电公司项目(SGQHHX00DDJS2100147)。
关键词
Prim初始种群
选取优化遗传算法
种群优化
电网检修
决策优化
Primary initial population
select the optimized genetic algorithm
population optimization
power gridmaintenance
decision optimization
