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作 者:孔祥玉[1] 马玉莹 李野[2] 王成山[1] 赵鑫[1] KONG Xiangyu;MA Yuying;LI Ye;WANG Chengshan;ZHAO Xin(Key Laboratory of Smart Grid of Ministry of Education(Tianjin University),Nankai District,Tianjin 300072,China;State Grid Tianjin Electric Power Research Institute,Heping District,Tianjin 300384,China)
机构地区:[1]智能电网教育部重点实验室(天津大学),天津市南开区300072 [2]国网天津市电力公司电力科学研究院,天津市和平区300384
出 处:《中国电机工程学报》2020年第7期2143-2151,共9页Proceedings of the CSEE
基 金:国家自然科学基金项目(51877145)。
摘 要:针对智能电表拆检或现场校验方式存在维护成本高、精准性差以及难以全覆盖等问题,该文对大规模量测数据进行分析,提出一种基于限定记忆递推最小二乘算法(limited memory recursive least squares algorithm,LMRLSA)求解的智能电表运行误差远程估计方法。该方法首先根据用户不同量测时段的用电量水平,筛选出相近运行状态的量测数据;然后运用LMRLSA估计智能电表误差,并通过现场分层抽样检测提升误差估计的准确性。电网公司实际算例分析的结果表明,该方法在保证足够量测数据的情况下,可有效实现智能电表运行误差参数估计结果的精准性;且通过调节记忆长度,可保证智能电表误差变化估计的实时性,有助于及时发现疑似异常计量点,为高效的用电巡检提供支撑。The dismantled or on-site inspection of smart meter verification have the problems of high maintenance cost,poor accuracy and difficulty in full coverage.With the analysis of large-scale measurement data collected by smart meter,a remote estimated method for measurement error of smart meter based on the limited memory recursive least squares algorithm(LMRLSA)was proposed in the paper.Firstly,according to the user’s power consumption level in different measurement periods,the measurement data of similar operation state were screened out.Then LMRLSA was used to estimate the running error of smart meter,and the accuracy of error estimation was improved through on-site stratified sampling.Based on the analysis of actual examples of power grid companies,the results show that the proposed method effectively achieves the estimated accuracy of smart meters error with sufficient measurement data.Moreover,by adjusting the memory length,the real-time estimation of the error change of the smart meter can be guaranteed,which is conducive to the timely detection of suspected abnormal metering points and provides support for efficient power inspection.
关 键 词:智能电表 量测误差 远程估计 递推最小二乘 限定记忆法
分 类 号:TM93[电气工程—电力电子与电力传动]
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