微型电脑应用2025，Vol.41Issue(4)：64-68,5.
基于多状态马尔科夫链的电网设备运行状态检修计划优化方法
Optimization Method for Maintenance Plan of Power Grid Equipment Operation Status Based on Multi-state Markov Chain
摘要
Abstract
In order to shorten the time of condition-based maintenance of power grid equipments,an optimization method for condition-based maintenance plan of power grid equipments based on multi-state Markov chain is proposed.This method con-siders that the equipment operation status may change randomly during the maintenance of power grid equipments,and if only a single maintenance mode is used,it will prolong the time of equipment maintenance.Therefore,a multi-state Markov chain model for power grid equipment maintenance is constructed,by which the reliability change of power grid equipment mainte-nance is dynamically analyzed.Through the optimization method of equipment operation status plan based on improved firefly algorithm.Construct the objective function of minimizing the maintenance period for all power grid equipment,solve it using an improved firefly algorithm,and develop the optimal maintenance plan that can achieve the minimization of maintenance period.Reasonably apply the major and minor maintenance modes.The experimental results show that under the application of this method,the daily maintenance time of power grid equipments under operation condition is less than 3 h,and the maintenance workload is well balanced,which avoids long-term power failure of equipments during maintenance.关键词
多状态马尔科夫链/电网设备/运行状态/检修计划优化/改进萤火虫算法Key words
multi-state Markov chain/power grid equipment/operation status/maintenance plan optimization/improved firefly algorithm分类
信息技术与安全科学引用本文复制引用
俞晓峰,张中超,钟宝华,黄炳鹏,危乐,罗日欣..基于多状态马尔科夫链的电网设备运行状态检修计划优化方法[J].微型电脑应用,2025,41(4):64-68,5.基金项目
广东电网有限责任公司河源供电局(GDKJXM20230341) （GDKJXM20230341）
