摘要
为有效解决电能计量装置的计划检修任务重、重复检测、针对性不强等问题,提出了一种电力计量装置健康度的综合评估方法以及电能计量装置健康度的趋势预测方法,为电能计量装置的状态在线检修优化提供辅助决策。首先,从电能计量装置的运行状态、配置方式以及运行工况等方面,提出了一种电能计量装置的健康度综合评价指标体系。并采用序关系分析法求取电能计量装置综合评估指标的赋权值,从而实现电能计量装置健康度的综合评价。其次,基于电能计量装置的综合评估结论,提出了一种基于灰色GM(1,1)模型的电能计量装置健康度预测方法,并通过天津市电力公司的实际运行进行案例验证。健康度评价和预测的结果可对电能计量装置的现场状态检修进行有效指导,并能及时发现电能计量装置的运行隐患,为电能计量装置状态检修策略优化提供理论依据。
In order to solve the problems of electric energy measuring devices effectively,including heavy maintenance task,duplicate detecting,and being targeted weakly,a comprehensive evaluation and trend prediction method of health degree of electric energy measuring devices is proposed,which provides an auxiliary decision for the state online maintenance optimization of electric energy measuring devices.Firstly,a comprehensive evaluation indicator system is proposed from running state,configuration mode and operation condition of electric energy measuring devices.The order relation analysis method is used to calculate the weighting of comprehensive evaluation indicator system,so as to realize the comprehensive evaluation of the health degree of electric energy measuring devices.Secondly,based on the comprehensive evaluation conclusion of electric energy measuring devices,a trend prediction method based on the grey GM(1,1)model is proposed to predict the health degree of electric energy measuring devices.Finally,it is verified by actual operation in Tianjin.The results of health degree evaluation and trend prediction can effectively guide to the field status maintenance of electric energy measuring devices and discover the hidden dangers,which can provide a theoretical basis for the strategy optimization of state maintenance of electric energy measuring devices.
作者
刘春雨
刘自发
罗群
葛磊蛟
邓文栋
王月明
LIU Chunyu;LIU Zifa;LUO Qun;GE Leijiao;DENG Wendong;WANG Yueming(Electric Power Research Institute,State Grid Tianjin Electric Power Company,Tianjin 300384,China;School of Electrical and Electronic Engineering,North China Electric Power University,Beijing 102206,China;School of Electrical Information and Engineering,Tianjin University,Tianjin 300072,China;Yantai Orient Wisdom Electric Co.Ltd,Yantai 264003,China)
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2018年第24期47-53,共7页
Power System Protection and Control
基金
国家重点研发计划项目资助(2016YFB0900105)~~
关键词
电能计量装置
状态检修
序关系分析法
灰色模型
electric energy measuring devices
status maintenance
sequential relation analysis
grey model
