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文章摘要
基于负线损分析的计量异常辨识方法
The Identification Method of Metering Anomaly based on Negative Line Loss Analysis
Received:June 22, 2018  Revised:June 22, 2018
DOI:10.19753/j.issn1001-1390.2019.016.014
中文关键词: 负线损  计量异常  误差分析  辨识方法
英文关键词: negative line loss  abnormal measurement  error analysis  identification method
基金项目:国家电网公司科技项目资助(52091418005N)
Author NameAffiliationE-mail
Xia Shu* Shibei Electricity Supply Company of State Grid Shanghai Electric Power Company xia_shu@126.com 
Mao Jun Shibei Electricity Supply Company of State Grid Shanghai Electric Power Company 289709281@qq.com 
Shi Ling Shibei Electricity Supply Company of State Grid Shanghai Electric Power Company shiling@sh.sgcc.com.cn 
Han Haojiang Shibei Electricity Supply Company of State Grid Shanghai Electric Power Company hanhaojiang@sh.sgcc.com.cn 
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中文摘要:
      供电侧计量异常是造成分线线损率统计值为负值的一个重要原因,考虑到计量异常原因较多,仅靠现场排查难度很大。为了克服这一难题,本文提出了一种基于负线损分析的计量异常辨识方法。为了保证分析的全面性和客观性,结合实际运行情况和国家标准,对互感器及其二次回路、电能表等做了详细分析,并提炼了造成负线损超标的主要原因。为了提高现场排查效率,推导了计量异常前后线损率变化关系,并结合数据分析和故障预判提出了计量异常辨识方法,能够在现场排查前分析出可能的异常原因,提升现场核查的准确性。最后,通过实际算例计算,验证了所提方法的有效性。
英文摘要:
      The measurement abnormality on the power supply side is one of the important reasons that the line loss rate is negative. Taking into account the reasons for abnormal measurement is large, it is very difficult to find out the reason by on-site inspection method. In order to overcome this problem, the identification method of metering anomaly based on negative line loss analysis is proposed. In order to ensure the objectivity and comprehensiveness of analysis, the transformer and its secondary circuit, watt-hour meter, etc. are analyzed in detail according to the actual operation and national standards. And the main cause of negative line loss is extracted. In order to improve the efficiency of on-site inspection, the relationship between line loss rate before and after the measurement anomaly is deduced. Based on the data analysis and fault pre-assessment, a metrological identification method is proposed to analyze the possible anomalies and improve the on-site inspection accuracy. Finally, a numerical example is presented to verify the validity of the method.
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