Fault data analysis of smart electricity meter based cloud theory
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TM933.4

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    Abstract:

    The smart electricity meter is an important and sophisticated metrical equipment in smart grid. Its fault types have complicated characteristics of randomness and fuzziness, which have significant impacts on electrical safety of consumer as well as fairness and justness of measurement directly. Therefore, a classification diagnosis cloud model of fault information of smart electricity meter is proposed in order to analyze the randomness and fuzziness of fault data in smart electricity meter and their correlation. In this model, the clustering algorithm is applied, and the cloud theory is employed to conduct data mining. In addition, the weakness and key parts affecting reliable operation of smart electricity meter is also specified. Finally, the abnormal event record of smart electricity meter in a certain area in 2015 is chosen as the data source for analysis. The effectiveness and practicability of the proposed method is verified.

    Reference
    [1] 宗建华,闫花光,史树冬,等.智能电能表(第1版)[M].北京:中国电力出版社,2010.
    [2] 王思彤,周晖,袁瑞铭,等.智能电表的概念及应用[J].电网技术,2010,34(4):1723.WANG Sitong,ZHOU Hui,YUAN Ruiming,et al.Concept and application of smart meter[J].Power System Technology,2010,34(4):1723.
    [3] 朱宁辉,白晓民,高峰.双向智能电能表功能需求和结构性能分析[J].电网技术,2011,35(11):16.ZHU Ninghui,BAI Xiaomin,GAO Feng.Function requirements and structure properties analysis of bidirectional smart meter[J].Power System Technology,2011,35(11):16.
    [4] 朱中文,周韶园.智能电能表的概念、标准化和检测方法初探[J].电测与仪表,2011,48(6):4853.ZHU Zhongwen,ZHOU Shaoyuan.A tentative study of basic concepts,standardization and testing for smart meters[J].Electrical Measurement & Instrumentation,2011,48(6):4853.
    [5] Sujan Chandra S,Arif M,Abinash C,et al.Smart meter assisted electric energy management schemes for power distribution and residential customer usage[C]//IEEE International Conference on Electrical Engineering and Information & Communication Technology(ICEEICT),Dhaka,Bangladesh,2014.
    [6] 胡瑛俊,姚力,吴幸,等.智能电能表主要故障分析与对策[J].浙江电力,2015,34(3):2326.HU Yingjun,YAO Li,WU Xing,et al.Main faults analysis and countermeasures for smart meters[J].Zhejiang Electric Power,2015,34(3):2326 .
    [7] 关焕新,李诗宇,刘振波.智能电能表出现黑屏现象的原因分析[J].东北电力技术,2014,35(8):2123.GUAN Huanxin,LI Shiyu,LIU Zhenbo.Analysis on reseaon of smart meter appearing blank screen[J].Northeast Electric Power Technology,2014,35(8):2123.
    [8] Jongho Won,Chris Y T Ma,David K Y Yau,et al.Privacyassured aggregation protocol for smart metering:A proactive faulttolerant approach[J].IEEE/ACM Transactions on Networking,2016,24(3):16611674.
    [9] 罗冉冉,龙磊,张垠,等.基于故障树理论的单相智能电能表黑屏故障分析方法研究[J].电测与仪表,2014,51(23):610+17.LUO Ranran,LONG Lei,ZHANG Yin,et al.Research on the fault analysis method for black screen of the single phase smart meter based on the fault tree theory[J].Electrical Measurement & Instrumentation,2014,51(23):610+17.
    [10] Lu Ning,Du Pengwei,Guo Xinxin,et al.Smart meter data analysis[C]//IEEE PES Transmission and Distribution Conference and Exposition(T&D),Orlando,America,2012.
    [11] 林志坚,鲁迪,林锐涛,等.基于kmeans聚类和变分位鲁棒极限学习机的短期负荷预测方法[J].智慧电力,2019,47(3):4653.LING Zhijian,LU Di,LING Ruitao,et al.Shortterm load forecasting method based on kmeans clustering and varied quantile outlier robust extreme learning machine[J].Smart Power,2019,47(3):4653.
    [12] 刘季昂,刘友波,程明畅,等.基于分位数半径动态Kmeans的分布式负荷聚类算法[J].电力系统保护与控制,2019,47(24):1522.LIU Ji'ang,LIU Youbo,CHENG Mingchang,et al.A distributed load clustering algorithm based on quantile radius dynamic Kmeans[J].Power System Protection and Control,2019,47(24):1522.
    [13] 叶琼,李绍稳,张友华,等.云模型及应用综述[J].计算机工程与设计,2011,32(12):41984201.YE Qiong,LI Shaowen,ZHANG Youhua,et al.Cloud model and application overview[J].Computer Engineering and Design,2011,32(12):41984201.
    [14] 张镱议,廖瑞金,杨丽君,等.基于云理论的电力变压器绝缘状态评估方法[J].电工技术学报,2012,27(5):1320.ZHANG Yiyi,LIAO Ruijin,YANG Lijun,et al.An assessment method for insulation condition of power transformer based upon cloud model[J].Transactions of China Electrotechnical Society,2012,27(5):1320 .
    [15] 胡文平,于腾凯,巫伟南.一种基于云预测模型的电网综合风险评估方法[J].电力系统保护与控制,2015,43(5):3542.HU Wenping,YU Tengkai,WU Weinan.A comprehensive power grid risk assessment method based on cloud prediction model[J].Power System Protection and Control,2015,43(5):3542.
    [16] 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):5762.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):5762.
    [17] 杨薛明,苑津莎,王剑锋,等.基于云理论的配电网空间负荷预测方法研究[J].中国电机工程学报,2006,26(6):3036.YANG Xueming,YUAN Jinsha,WANG Jianfeng,et al.A new spatial forecasting method for distribution network based on cloud theory[J].Proceedings of the CSEE,2006,26(6):3036.
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江剑峰,张 垠,田书欣,杨喜军.基于云理论的智能电能表故障数据分析[J].电力科学与技术学报英文版,2020,35(2):163-169. JIANG Jianfeng, ZHANG Yin, TIAN Shuxin, YANG Xijun. Fault data analysis of smart electricity meter based cloud theory[J]. Journal of Electric Power Science and Technology,2020,35(2):163-169.

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  • Online: September 03,2020
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