融合粗糙集和信息熵的复合绝缘子污闪状态评估
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摘要
为对恶劣天气频发环境下的在役复合绝缘子进行准确有效的污闪状态评估,针对复杂影响因素的随机性、不确定性和不完备性,提出融合粗糙集和信息熵的复合绝缘子污闪状态在线评估方法。通过构建多维度的绝缘子评价指标体系,在信息熵的观点下确定各条件属性的重要程度,结合粗糙集理论确定属性的相对权重,实现状态评估的定量表示。该方法完全基于数据驱动,能有效避免评估中的主观性问题,并且具有良好的扩展性和容错性。实例分析表明,该方法具有优异的区分度,能够快速可靠地反映复合绝缘子的实际污闪状态。研究成果可为复合绝缘子的检修和维护提供依据。
To accurately and effectively evaluate pollution flashover condition of the in-service composite insulators that work frequently in extreme weather,a corresponding evaluation method combining rough sets and information entropy is proposed with regard to randomness,uncertainty and incompleteness of complex influencing factors. A multidimensional evaluation system of composite insulator is built to ascertain the importance of different condition attributes in the view of information entropy,and the relative weights of the attributes with rough sets theory,thus to realize quantitative expression of condition evaluation. This insulator condition evaluation method is completely based on data driving,so it can effectively avoid the subjectivity in evaluation and has proper expandability and fault tolerance. Application shows the method has excellent discrimination and is capable of reflecting real pollution flashover condition of composite insulator fleetly and accurately. This research may provide a basis for inspection and maintenance of composite insulators.
To accurately and effectively evaluate pollution flashover condition of the in-service composite insulators that work frequently in extreme weather,a corresponding evaluation method combining rough sets and information entropy is proposed with regard to randomness,uncertainty and incompleteness of complex influencing factors. A multidimensional evaluation system of composite insulator is built to ascertain the importance of different condition attributes in the view of information entropy,and the relative weights of the attributes with rough sets theory,thus to realize quantitative expression of condition evaluation. This insulator condition evaluation method is completely based on data driving,so it can effectively avoid the subjectivity in evaluation and has proper expandability and fault tolerance. Application shows the method has excellent discrimination and is capable of reflecting real pollution flashover condition of composite insulator fleetly and accurately. This research may provide a basis for inspection and maintenance of composite insulators.
引文
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[8]方春华,周毅,贾伯岩,等.基于泄漏电流相位差的绝缘子污秽度表征方法研究[J].高压电器,2016,52(2):7-12.FANG Chunhua,ZHOU Yi,JIA Boyan,et al.Study of the characterization method of insulator contamination degree based on the phase difference of LC[J].High Voltage Apparatus,2016,52(2):7-12.
[9]杨洋,张淑国,尉冰娟,等.基于泄漏电流的绝缘子污秽状态预警方法的研究[J].高压电器,2016,52(11):130-136.YANG Yang,ZHANG Shuguo,WEI Bingjuan,et al.Warning method of insulator contamination based on leakage current[J].High Voltage Apparatus,2016,52(11):130-136.
[10]LUTZ B,CHENG L,GUAN Z,et al.Analysis of a fractured500 kV composite insulator identification of aging mechanisms and their causes[J].IEEE Transactions on Dielectrics and Electrical Insulation,2012,19(5):1723-1731.
[11]YAO Chenguo,WANG Jian,LI Chengxiang,et al.The syntactical pattern recognition for the leakage current of transmission-line insulators[J].IEEE Transactions on Power Delivery,2011,26(4):2244-2250.
[12]毛颖科,关志成,王黎明,等.基于泄漏电流脉冲主成分分析的外绝缘污秽状态评估方法[J].电工技术学报,2009,24(8):39-45.MAO Yingke,GUAN Zhicheng,WANG Liming,et al.Evaluation of contamination levels of outdoor insulators based on the principal components analysis of leakage current pulses[J].Transactions of China Electrotechnical Society,2009,24(8):39-45.
[13]于兰英,姚波,吴文海,等.一种基于多特征的绝缘子识别方法[J].电瓷避雷器,2016(1):79-83.YU Lanying,YAO Bo,WU Wenhai,et al.Insulator identification method based on multi-feature[J].Insulators and Surge Arresters,2016(1):79-83.
[14]焦尚彬,刘丁.基于最小二乘支持向量机的高压绝缘子污秽程度评定[J].电力系统自动化,2006,30(6):61-65.JIAO Shangbin,LIU Ding.Assessment of surface contamination of high voltage insulator based on least squares support vector machine[J].Automation of Electric Power System,2006,30(6):61-65.
[15]谭国梁,王思华.基于熵权模糊神经网络的绝缘子污闪状态评估[J].电瓷避雷器,2015(6):5-9.TAN Guoliang,WANG Sihua.Condition assessment of insulator pollution flashover based on entropy weight fuzzy neural network[J].Insulators and Surge Arresters,2015(6):5-9.
[16]熊兰,刘钰,林荫宇,等.模糊变权法在绝缘子状态综合评判中的应用[J].电力系统及其自动化学报,2010,22(1):96-100.XIONG Lan,LIU Yu,LIN Yinyu,et al.Application of fuzzy synthetic method on insulator condition assessment[J].Proceedings of the CSU-EPSA,2010,22(1):96-100.
[17]杨志超,张成龙,葛乐,等.基于熵权法的绝缘子污闪状态模糊综合评价[J].电力自动化设备,2014,34(4):90-94.YANG Zhichao,ZHANG Chenglong,GE Le,et al.Comprehensive fuzzy evaluation based on entropy weight method for insulator flashover pollution[J].Electric Power Automation Equipment,2014,34(4):90-94.
[18]马斌,张勇,郭珊珊.基于证据理论的高压绝缘子污秽程度评定[J].河南大学学报,2010,40(4):415-419.MA Bin,ZHANG Yong,GUO Shanshan.Assessment of surface contamination of high voltage insulator based on evidence theory[J].Journal of Henan University,2010,40(4):415-419..
[19]范莉,夏非,苏浩益,等.基于云理论的高压绝缘子污秽状态风险评估[J].电力系统保护与控制,2012,40(15):57-62.FAN Li,XIA Fei,SU Haoyi,et al.Risk assessment of high voltage insulator contamination condition by cloud theory[J].Power System Protection and Control,2012,40(15):57-62.
[20]王国胤,姚一豫,于洪,等.粗糙集理论与应用研究综述[J].计算机学报,2009,32(7):1229-1246.WANG Guoyin,YAO Yiyu,YU Hong.A survey on rough set theory and applications[J].Chinese Journal of Computers,2009,32(7):1229-1246.
[21]谢敏,邓佳梁,吉祥,等.基于信息熵和变精度粗糙集优化的支持向量机降温负荷预测方法[J].电网技术,2017,41(1):210-214.XIE Min,DENG Jialiang,JI Xiang,et al.Cooling load forecasting method based on support vector machine optimized with entropy and variable accuracy roughness set[J].Power(144)System Technology,2017,41(1):210-214.
[22]陈嘉霖,段家华,张明宇.邻域粗糙集与相关向量机相结合的变压器故障综合诊断模型[J].电力系统及其自动化学报,2016,28(11):117-122.CHEN Jialin,DUAN Jiahua,ZHANG Mingyu.Comprehensive fault diagnosis model of transformers based on combination of neighborhood rough set and relevance vector machine[J].Proceedings of the CSU-EPSA,2016,28(11):117-122.
[23]王学恩,韩崇昭,韩德强,等.粗糙集研究综述[J].控制工程,2013,20(1):1-8.WANG Xue’en,HAN Chongzhao,HAN Deqiang,et al.Asurvey of rough sets theory[J].Control Engineering of China,2013,20(1):1-8.
[24]于洪,王国胤,姚一豫.决策粗糙集理论研究现状与展(136)望[J].计算机学报,2015,38(8):1628-1639.YU Hong,WANG Guoyin,YAO Yinyu.Current research and future perspectives on decision-theoretic rough sets[J].Chinese Journal of Computers,2015,38(8):1628-1639.
[2]梁曦东,高岩峰,王家福,等.中国硅橡胶复合绝缘子快速发展历程[J].高电压技术,2016,42(9):2888-2896.LIANG Xidong,GAO Yanfeng,WANG Jiafu,et al.Rapid development of silicone rubber composite insulator in china[J].High Voltage Engineering,2016,42(9):2888-2896.
[3]苗鹏超,徐志钮.输电线路绝缘子泄漏电流特征量提取综述[J].高压电器,2014,50(8):127-138.MIAO Pengchao,XU Zhiniu.Summary of the transmission line insulator leakage current characteristics extraction[J].High Voltage Apparatus,2014,50(8):127-138.
[4]王庆芬,李文娟,樊伟.不同雾霾环境下瓷绝缘子交流闪络特性[J].电瓷避雷器,2016(3):29-33.WANG Qingfen,LI Wenjuan,FAN Wei.Study on the ACflashover performance of porcelain insulator under different fog and haze environment[J].Insulators and Surge Arresters,2016(3):29-33.
[5]李永刚,黄成才,汪佛池,等.雾霾天气对复合绝缘子运行性能的影响[J].电网技术,2014,38(7):1792-1797.LI Yonggang,HUANG Chengcai,WANG Fochi,et al.Influences of haze weather on operating performance of composite insulators[J].Power System Technology,2014,38(7):1792-1797.
[6]WIECZOREK K,FLESZYNSKI J.Steep-front impulse voltage in diagnostic studies of composite insulators[J].IEEETransactions on Dielectrics and Electrical Insulation,2016,23(3):942-950.
[7]赵世华,蒋兴良,张志劲,等.染污玻璃绝缘子泄漏电流特性及其闪络电压预测[J].电网技术,2014,38(2):440-447.ZHAO Shihua,JIANG Xingliang,ZHANG Zhijin,et al.Flashover voltage prediction of polluted glass insulators based on the characteristics of leakage current[J].Power System Technology,2014,38(2):440-447.
[8]方春华,周毅,贾伯岩,等.基于泄漏电流相位差的绝缘子污秽度表征方法研究[J].高压电器,2016,52(2):7-12.FANG Chunhua,ZHOU Yi,JIA Boyan,et al.Study of the characterization method of insulator contamination degree based on the phase difference of LC[J].High Voltage Apparatus,2016,52(2):7-12.
[9]杨洋,张淑国,尉冰娟,等.基于泄漏电流的绝缘子污秽状态预警方法的研究[J].高压电器,2016,52(11):130-136.YANG Yang,ZHANG Shuguo,WEI Bingjuan,et al.Warning method of insulator contamination based on leakage current[J].High Voltage Apparatus,2016,52(11):130-136.
[10]LUTZ B,CHENG L,GUAN Z,et al.Analysis of a fractured500 kV composite insulator identification of aging mechanisms and their causes[J].IEEE Transactions on Dielectrics and Electrical Insulation,2012,19(5):1723-1731.
[11]YAO Chenguo,WANG Jian,LI Chengxiang,et al.The syntactical pattern recognition for the leakage current of transmission-line insulators[J].IEEE Transactions on Power Delivery,2011,26(4):2244-2250.
[12]毛颖科,关志成,王黎明,等.基于泄漏电流脉冲主成分分析的外绝缘污秽状态评估方法[J].电工技术学报,2009,24(8):39-45.MAO Yingke,GUAN Zhicheng,WANG Liming,et al.Evaluation of contamination levels of outdoor insulators based on the principal components analysis of leakage current pulses[J].Transactions of China Electrotechnical Society,2009,24(8):39-45.
[13]于兰英,姚波,吴文海,等.一种基于多特征的绝缘子识别方法[J].电瓷避雷器,2016(1):79-83.YU Lanying,YAO Bo,WU Wenhai,et al.Insulator identification method based on multi-feature[J].Insulators and Surge Arresters,2016(1):79-83.
[14]焦尚彬,刘丁.基于最小二乘支持向量机的高压绝缘子污秽程度评定[J].电力系统自动化,2006,30(6):61-65.JIAO Shangbin,LIU Ding.Assessment of surface contamination of high voltage insulator based on least squares support vector machine[J].Automation of Electric Power System,2006,30(6):61-65.
[15]谭国梁,王思华.基于熵权模糊神经网络的绝缘子污闪状态评估[J].电瓷避雷器,2015(6):5-9.TAN Guoliang,WANG Sihua.Condition assessment of insulator pollution flashover based on entropy weight fuzzy neural network[J].Insulators and Surge Arresters,2015(6):5-9.
[16]熊兰,刘钰,林荫宇,等.模糊变权法在绝缘子状态综合评判中的应用[J].电力系统及其自动化学报,2010,22(1):96-100.XIONG Lan,LIU Yu,LIN Yinyu,et al.Application of fuzzy synthetic method on insulator condition assessment[J].Proceedings of the CSU-EPSA,2010,22(1):96-100.
[17]杨志超,张成龙,葛乐,等.基于熵权法的绝缘子污闪状态模糊综合评价[J].电力自动化设备,2014,34(4):90-94.YANG Zhichao,ZHANG Chenglong,GE Le,et al.Comprehensive fuzzy evaluation based on entropy weight method for insulator flashover pollution[J].Electric Power Automation Equipment,2014,34(4):90-94.
[18]马斌,张勇,郭珊珊.基于证据理论的高压绝缘子污秽程度评定[J].河南大学学报,2010,40(4):415-419.MA Bin,ZHANG Yong,GUO Shanshan.Assessment of surface contamination of high voltage insulator based on evidence theory[J].Journal of Henan University,2010,40(4):415-419..
[19]范莉,夏非,苏浩益,等.基于云理论的高压绝缘子污秽状态风险评估[J].电力系统保护与控制,2012,40(15):57-62.FAN Li,XIA Fei,SU Haoyi,et al.Risk assessment of high voltage insulator contamination condition by cloud theory[J].Power System Protection and Control,2012,40(15):57-62.
[20]王国胤,姚一豫,于洪,等.粗糙集理论与应用研究综述[J].计算机学报,2009,32(7):1229-1246.WANG Guoyin,YAO Yiyu,YU Hong.A survey on rough set theory and applications[J].Chinese Journal of Computers,2009,32(7):1229-1246.
[21]谢敏,邓佳梁,吉祥,等.基于信息熵和变精度粗糙集优化的支持向量机降温负荷预测方法[J].电网技术,2017,41(1):210-214.XIE Min,DENG Jialiang,JI Xiang,et al.Cooling load forecasting method based on support vector machine optimized with entropy and variable accuracy roughness set[J].Power(144)System Technology,2017,41(1):210-214.
[22]陈嘉霖,段家华,张明宇.邻域粗糙集与相关向量机相结合的变压器故障综合诊断模型[J].电力系统及其自动化学报,2016,28(11):117-122.CHEN Jialin,DUAN Jiahua,ZHANG Mingyu.Comprehensive fault diagnosis model of transformers based on combination of neighborhood rough set and relevance vector machine[J].Proceedings of the CSU-EPSA,2016,28(11):117-122.
[23]王学恩,韩崇昭,韩德强,等.粗糙集研究综述[J].控制工程,2013,20(1):1-8.WANG Xue’en,HAN Chongzhao,HAN Deqiang,et al.Asurvey of rough sets theory[J].Control Engineering of China,2013,20(1):1-8.
[24]于洪,王国胤,姚一豫.决策粗糙集理论研究现状与展(136)望[J].计算机学报,2015,38(8):1628-1639.YU Hong,WANG Guoyin,YAO Yinyu.Current research and future perspectives on decision-theoretic rough sets[J].Chinese Journal of Computers,2015,38(8):1628-1639.
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