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作 者:左黎斌 何傲 王昕 何東莹 赵楠 ZUO Li-bin;HE Ao;WANG Xin;HE Dong-ying;ZHAO Nan(Electric Power Research Institute,Yunnan Power Grid Limited Liability Corporation,Kunming 650217,Yunnan,China;Key Laboratory of Energy Metering of Southern Power Grid,Kunming 650217,Yunnan,China;Automation in Kunming University of Science and Technology,Kunming 650000,Yunnan,China)
机构地区:[1]云南电网有限责任公司电力科学研究院,云南昆明650217 [2]南方电网电能计量重点实验室,云南昆明650217 [3]昆明理工大学信息工程与自动化学院,云南昆明650000
出 处:《软件》2018年第6期89-95,共7页Software
摘 要:随着电网企业变电站的数目增加、供电范围扩大、输配电容量增加,特别是智能电能表在全社会的推广应用,给电力企业的电能计量标准装置带来了巨大的计量压力。电能计量装置计量的精确性,更是用电客户关注的焦点。为提高电能计量服务水平,保障电能计量标准装置的可用性,及时发现异常和故障,对其进行有效维护和检修,及早采取应对措施,显得十分重要。基于此,本文提出一种基于区域网络的电能计量准确性分析软件对电能表标准装置进行实时在线监测的方法,运用FCM聚类算法对电能表标准装置的实时运行状态进行分析。经验证,该方法可以有效反映电能表标准装置的实时运行状态和故障差错,缩短电能标准装置的维护周期,提升电能计量服务水平。Along with the increase in the number of power grid enterprise substation,power supply scope,transmission and distribution capacity increased,especially the intelligent watt-hour meter in the popularization and application of the whole society,to the electric power enterprise power measurement standard device brought great pressure.The accuracy of measurement of electric energy metering device is the focus of customers'attention.To improve the level of electrical energy meter service,guarantee the availability of the electric energy measurement standard device,timely find abnormal and failure,maintenance and overhaul them effectively,the adoption of countermeasures as early as possible,appear very important.Based on this,this paper proposes a regional network of electric energy metering accuracy analysis software for real-time online monitoring of watt-hour meter standard device,the method of using the FCM clustering algorithm for real-time operation state of watt-hour meter standard device for analysis.The method can effectively reflect the real-time operation state and fault error of the standard device of the electricity meter,shorten the maintenance cycle of the power standard device,and improve the electric energy measurement service level.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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