基于数据质量的电能质量监测装置远程可靠性评估
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摘要
长期运行的电能质量监测装置会由于元器件老化而造成可靠性下降,从而影响数据质量甚至电网安全。为此,从数据质量分析角度出发,提出一种电能质量监测装置可靠性评估的方法,将数据质量分解为若干个子指标,并采用层次分析法建立评估指标体系,实现电能质量监测装置的远程可靠性评估,及时发现装置可靠性下降的隐患,提高电网公司对电能质量监测装置的管理水平。该方法已用于某电网公司电能质量监测系统中,实践证明该方法是可行有效的。
Reduction of reliability caused by aging of components and parts of the long-running power quality monitoring equipment may affect data quality and even security of the power grid.Therefore,this paper presents a kind of reliability evaluation method for power quality monitoring equipment from the perspective of data quality analysis which decomposes data quality into several sub-indexes and uses analytic hierarchy process to establish an evaluation index system so as to realize remote reliability evaluation for the power quality monitoring equipment,discover hidden dangers in reliability reduction and improve management level of power grid companies.This method has been used in the power quality monitoring system of one power grid company and practice proves feasibility and validity of the method.
Reduction of reliability caused by aging of components and parts of the long-running power quality monitoring equipment may affect data quality and even security of the power grid.Therefore,this paper presents a kind of reliability evaluation method for power quality monitoring equipment from the perspective of data quality analysis which decomposes data quality into several sub-indexes and uses analytic hierarchy process to establish an evaluation index system so as to realize remote reliability evaluation for the power quality monitoring equipment,discover hidden dangers in reliability reduction and improve management level of power grid companies.This method has been used in the power quality monitoring system of one power grid company and practice proves feasibility and validity of the method.
引文
[1]姚强,安国军,肖冰,等.电能质量监测信息智能检索系统[J].电测与仪表,2016,53(4):102–107,112.YAO Qiang,AN Guojun,XIAO Bing,et al.Intelligent Retrieval System for Power Quality Monitoring Information[J].Electrical Measurement&Instrumentation,2016,53(4):102-107,112.
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[3]刘洪,黄燕.基于经典计量模型的统计数据质量评估方法[J].统计研究,2009,26(3):91–96.LIU Hong,HUANG Yan.An Evaluation Method of Statistical Data Quality Based on the Classical Econometric Model[J].Statistical Research,2009,26(3):91-96.
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[9]RAKHSHANI E,SARIRI I,ROUZBEHI K.Application of Data Mining on Fault Detection and Prediction in Boiler of Power Plant Using Artificial Neural Network[C]//International Conference on Power Engineering Energy and Electrical Drives.Lisbon:Universidade Nova de Lisboa Instituto Politecnico de Setubal,2009:473-478.
[10]孙国强,卫志农,周封伟.改进迭代自组织数据分析法的不良数据辨识[J].中国电机工程学报,2006,26(11):163–166.SUN Guoqiang,WEI Zhinong,ZHOU Fengwei.The Application of ISODATA to Bad Data Detection and Identification Based on Genetic Algorithms[J].Proceedings of the CSEE,2006,26(11):163-166.
[11]叶学勇.电力系统不良和错误数据的检测辨识与修正研究[D].南京:南京理工大学,2008.
[12]周苏荃,张艳军.新息图状态估计中多相关不良数据辨识[J].电力系统及其自动化学报,2008,32(6):1–6.ZHOU Suquan,ZHANG Yanjun.Multiple Interacting Bad Data Identification for Innovation Graph Technique[J].Proceedings of the CSU-EPSA,2008,32(6):1-6.
[13]周刚,燕飞.一种电能质量异常数据剔除的有效方法[J].广东电力,2014,27(5):56–60.ZHOU Gang,YAN Fei.An Effective Method for Eliminating Abnormal Data of Power Quality[J].Guangdong Electric Power,2014,27(5):56-60.
[14]骆正清,杨善林.层次分析法中几种标度的比较[J].系统工程理论与实践,2004(9):51–60.LUO Zhengqing,YANG Shanlin.Comparative Study on Several Scales in AHP[J].System Engineering-theory&Practice,2004(9):51-60.
[15]刘颖芬,占济舟.“互反型”标度的一致性比较[J].东北师大学报(自然科学版),2008,40(4):33–37.LIU Yingfen,ZHAN Jizhou.Comparison on Consistency of Reciprocal Scales[J].Journal of Northeast Normal University(Natural Science Edition),2008,40(4):33-37.
[2]郭志懋,周傲英.数据质量和数据清洗研究综述[J].软件学报,2002,13(11):2076–2082.GUO Zhimao,ZHOU Aoying.Research on Data Quality and Data Cleaning:a Survey[J].Journal of Software,2002,13(11):2076-2082.
[3]刘洪,黄燕.基于经典计量模型的统计数据质量评估方法[J].统计研究,2009,26(3):91–96.LIU Hong,HUANG Yan.An Evaluation Method of Statistical Data Quality Based on the Classical Econometric Model[J].Statistical Research,2009,26(3):91-96.
[4]郑华.基于数据世系的数据质量评估系统框架设计[J].广西科学院学报,2010,26(4):483–485.ZHENG Hua.The Framework of Data Quality Assessment Based on Data Provenance[J].Journal of Guangxi Academy of Sciences,2010,26(4):483-485.
[5]刘洪,黄燕.我国统计数据质量的评估方法研究——趋势模拟评估法及其应用[J].统计研究,2007,24(8):17–21.LIU Hong,HUANG Yan.The Study on the Evaluation Methods of Quality of Statistical Data in China—Method of Trend Simulation and Its Application[J].Statistical Research,2007,24(8):17-21.
[6]杨小彬,李和明,尹忠东,等.基于层次分析法的配电网能效指标体系[J].电力系统自动化,2013,37(12):146–150.YANG Xiaobin,LI Heming,YIN Zhongdong,et al.Energy Efficiency Index System for Distribution Network Based on Analytic Hierarchy Process[J].Automation of Electric Power System,2013,37(12):146-150.
[7]李正明,张纪华,陈敏洁.基于层次分析法的企业有序用电模糊综合评估[J].电力系统保护与控制,2012,41(7):136–141.LI Zhengming,ZHANG Jihua,CHEN Minjie.Fuzzy Comprehensive Evaluation of Enterprise’s Orderly Power Utility Based on Analytic Hierarchy Process[J].Power System Protection and Control,2012,41(7):136-141.
[8]秦璇.电力统计数据的质量评估及其异常检测方法研究[D].长沙:长沙理工大学,2013.
[9]RAKHSHANI E,SARIRI I,ROUZBEHI K.Application of Data Mining on Fault Detection and Prediction in Boiler of Power Plant Using Artificial Neural Network[C]//International Conference on Power Engineering Energy and Electrical Drives.Lisbon:Universidade Nova de Lisboa Instituto Politecnico de Setubal,2009:473-478.
[10]孙国强,卫志农,周封伟.改进迭代自组织数据分析法的不良数据辨识[J].中国电机工程学报,2006,26(11):163–166.SUN Guoqiang,WEI Zhinong,ZHOU Fengwei.The Application of ISODATA to Bad Data Detection and Identification Based on Genetic Algorithms[J].Proceedings of the CSEE,2006,26(11):163-166.
[11]叶学勇.电力系统不良和错误数据的检测辨识与修正研究[D].南京:南京理工大学,2008.
[12]周苏荃,张艳军.新息图状态估计中多相关不良数据辨识[J].电力系统及其自动化学报,2008,32(6):1–6.ZHOU Suquan,ZHANG Yanjun.Multiple Interacting Bad Data Identification for Innovation Graph Technique[J].Proceedings of the CSU-EPSA,2008,32(6):1-6.
[13]周刚,燕飞.一种电能质量异常数据剔除的有效方法[J].广东电力,2014,27(5):56–60.ZHOU Gang,YAN Fei.An Effective Method for Eliminating Abnormal Data of Power Quality[J].Guangdong Electric Power,2014,27(5):56-60.
[14]骆正清,杨善林.层次分析法中几种标度的比较[J].系统工程理论与实践,2004(9):51–60.LUO Zhengqing,YANG Shanlin.Comparative Study on Several Scales in AHP[J].System Engineering-theory&Practice,2004(9):51-60.
[15]刘颖芬,占济舟.“互反型”标度的一致性比较[J].东北师大学报(自然科学版),2008,40(4):33–37.LIU Yingfen,ZHAN Jizhou.Comparison on Consistency of Reciprocal Scales[J].Journal of Northeast Normal University(Natural Science Edition),2008,40(4):33-37.
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