一种适用于状态检修的电力设备时变停运模型  

A Time-varying Component Outage Model for Power System Condition-based Maintenance

作　　者：汲国强[1] 吴文传[1] 张伯明[1] 刘顺桂 江伟 

机构地区：[1]电力系统及发电设备控制和仿真国家重点实验室(清华大学电机系),北京市海淀区100084 [2]南方电网深圳供电局有限公司,广东省深圳市518000

出　　处：《中国电机工程学报》2013年第25期139-146,21,共8页Proceedings of the CSEE

基　　金：国家高技术研究发展计划(863计划)(2011AA05A101);国家自然科学基金资助项目(51177080;51190105);教育新世纪优秀人才支持计划(NCET-11-0281)~~

摘　　要：建立基于在线监测信息的电力元件时变停运模型是实现状态检修的关键技术工作之一。提出一种可应用于状态检修的马尔可夫停运模型,并分析完全维修、不完全维修和最小维修3种维修模式下模型特性,在此基础上提出一种可以涵盖各种维修模式的综合时变停运模型。进一步讨论元件随机模型加入确定性计划检修事件后的可用度表达式。算例证明,所提模型可以计及不同检修模式和计划检修对设备可用度的影响,为后续状态检修中的风险评估和检修决策打下了基础。For condition-based maintenance （CBM）, time-varying component outage model considering the condition monitoring data is the indispensable to evaluate the components＇ availability. A three-stage Markov process based outage model was proposed and the characteristics of the outage models on different repair modes, such as perfect repair, imperfect repair and minimal repair, were analyzed, followed by a general model accommodating all these kinds of repair mode. Based on the random outage model, the component＇s availability formula considering both the impact of preventive maintenance schedule and the maintenance after a random failure was derived, and followed by some practical examples which showed the efficiency of the model. The model proposed in this paper is applicable to the risk assessment and condition-based maintenance in power system.

关 键 词：在线监测 状态检修 停运模型 马尔可夫过程 可用度 

分 类 号：TM73[电气工程—电力系统及自动化]