Distribution network fault diagnosis technology based on synchronous waveforms
Author:
Clc Number:

TM315

  • Article
  • | |
  • Metrics
  • |
  • Reference [56]
  • |
  • Related [20]
  • | | |
  • Comments
    Abstract:

    With the large-scale intergration of the distributed generators and the flexible load, the dynamic behavior and fault characteristics of the distribution network are more complex and variable. The fault diagnosis in distribution networks faces new technical challenges. The waveforms-based fault diagnosis method is reviewed, which can be divided into direct matching method based on waveform similarity and indirect method based on waveform feature identification. The popular algorithms are analyzed and compared with each other. Then the advantages and disadvantages of each kind of algorithm are analyzed. Diagnosis methods for different application scenarios are summarized. Then, the future development and technical route of synchronous waveforms-based diagnosis methods are analyzed. The advantages and disadvantages of the algorithm are analyzed, and the diagnostic methods under different application scenarios are summarized. Finally, the development trend and technical roadmap of the fault diagnosis based on synchronous waveform are discussed. This review provides a useful reference for the futher study on smart distribution network fault diagnosis technology.

    Reference
    [1] 朱克东. 智能电网环境下电力数据挖掘研究[D]. 南京:东南大学, 2018. ZHU Kedong. Research on power data mining in the smart grid [D]. Nanjing:Southeast University, 2018.
    [2] 国家能源局. 2016年全社会用电[EB/OL]. http:∥www.nea.gov.cn/2017-01/16/c_135986964.htm. National Energy Administration. Social electricity consumption in 2016[EB/OL]. http:∥www.nea.gov.cn/2017-01/16/c_135986964.htm.
    [3] 余贻鑫, 栾文鹏. 智能电网述评[J]. 中国电机工程学报, 2009, 29(34): 1-8. YU Yixiin, LUAN Wenpeng. Smart grid and its implementations [J]. Proceedings of the CSEE, 2009, 29(34): 1-8.
    [4] RAMSAY F R F, NETHERCOT W. Engine ignition faults and a new method of diagnosis and location during running[J]. Power Engineering, Journal of the institution of Electrical Engineers, 1946, 93(36): 629-635.
    [5] CAMERON A WW. Diagnoses of A-C generator insulation condition by nondestructive tests [J]. Power Apparatus and Systems, Part III.Transactions of the American Institute of Electrical Engineers, 1952, 71(1): 263-174.
    [6] DY LIACCO T E, KRAYNAK T J. Processing by logic programming of circuit-breaker and protective-relaying information[J]. IEEE Transactions on Power Apparatus and Systems, 1969, PAS-88(2):171-175.
    [7] RUSSELL J C, MASIELLO R D, BOSE A. Power system control center concepts[C]∥ Power Industry Computer Applications Conference. IEEE, 2002.
    [8] 冀有党,李伟. 电网故障信息处理系统的实用化研究[J]. 电力自动化设备, 1994(3):10-14. JI Youdang, LI Wei. The practical research on power grid fault information processing system [J]. Electric Power Automation Equipment, 1994(3):10-14.
    [9] 周子冠,白晓民,李文锋,等. 基于广域测量系统的电网故障在线智能化诊断与分析方法[J]. 中国电机工程学报,2009,29(13):1-7. ZHOU Ziguan, BAI Xiaomin, LI Wenfeng,et al. A novel smart on-line fault diagnosis and analysis approach of power grid based on WAMS [J]. Proceedings of the CSEE,2009,29(13):1-7.
    [10] 徐岩,宋艳争,张亚刚,等. 基于广域测量系统的改进电网拓扑结构识别[J]. 电网技术,2010,34(9):88-93. XU Yan, SONG Yanzheng, ZHANG Yagang,et al. An improved method for power network topology identification based on wide area measurement system [J]. Power System Technology,2010,34(9):88-93.
    [11] 郭创新,彭明伟,刘毅. 多数据源信息融合的电网故障诊断新方法[J]. 中国电机工程学报,2009,29(31):1-6. GUO Chuangxin, PENG Mingwei, LIU Yi. Novel approach for fault diagnosis of the power grid with information fusion of multi-data resources[J]. Proceedings of the CSEE,2009,29(31):1-6.
    [12] FUKUI, KAWAKAMI. An expert system for fault section estimation using information from protective relays and circuit breakers[J]. Power Delivery IEEE Transactions on, 1986, 1(4):83-90.
    [13] FLORES A, QUILES E, GARCIA E, et al. Fault diagnosis of electric transmission lines using modular neural networks[J]. IEEE Latin America Transactions, 2016, 14(8): 3663-3668.
    [14] 袁柳杨. 基于支持向量机的电网故障诊断研究[D]. 北京:华北电力大学, 2017. YUAN Liuyang. Research on power grid fault diagnosis based on support vector machine[D].Beijing:North China Electric Power University, 2017.
    [15] CHEN Wenhui. Online fault diagnosis for power transmission networks using fuzzy digraph models[J]. IEEE Transactions on Power Delivery, 2012, 27(2): 688-698.
    [16] 栗然,张烈勇,顾雪平,等. 采用粗糙集联合规则挖掘算法的分布式电网故障诊断[J]. 中国电机工程学报, 2010, 30(4): 28-34. LI Ran, ZHANG Lieyong, GU Xueping, et al. Distributed fault diagnosis of power networks applying the united rules mining algorithm based on rough set theory [J]. Proceedings of the CSEE, 2010, 30(4): 28-34.
    [17] 韩迎春,童晓阳. 基于动态推理链的电网故障诊断方法[J]. 电网技术, 2017, 41(4): 1315-1324. HAN Yingchun, TONG Xiaoyang. Power system fault diagnosis based on dynamic reasoning chain[J]. Power System Technology, 2017, 41(4): 1315-1324.
    [18] ZHANG Y, CHUNG C Y, WEN F S, et al. An analytic model for fault diagnosis in power systems utilizing redundancy and temporal information of alarm messages[J]. IEEE Transaction on Power Systems, 2016, 31(6): 4877-4886.
    [19] 张海波, 贾凯, 施蔚锦, 等. 信息论与专家系统相结合的电网故障诊断[J]. 电力系统及其自动化学报, 2017, 29(8): 111-118. ZHANG Haibo, JIA Kai, SHI Weijin, et al. Power grid fault diagnosis based on information theory and expert system [J]. Proceedings of the CSU-EPSA, 2017, 29(8): 111-118.
    [20] 贾学涵,杨东升,郑薇,等. 多因素分级 Petri 网配电故障诊断方法 [J]. 电网技术,2017, 41(3): 1015-1021. JIA Xuehan, YANG Dongsheng, ZHENG Wei, et al. Distribution network fault diagnosis method based on multi-factor hierarchical Petri net [J]. Power System Technology, 2017, 41 (3): 1015-1021.
    [21] 童晓阳,谢红涛,孙明蔚. 计及时序信息检查的分层模糊 Petri 网电网故障诊断模型[J]. 电力系统自动化,2013, 37(6): 63-68. TONG Xiaoyang, XIE Hongtao, SUN Mingwei. Power system fault diagnosis model based on layered fuzzy Petri net considering temporal constraint checking[J]. Automation of Electric Power Systems, 2013, 37(6): 63-68.
    [22] 李乃永,梁军,李磊,等. 基于广域故障录波信息的调度端电网故障诊断系统 [J]. 电力系统自动化,2014, 38(16): 100-104. LI Naiyong, LIANG Jun, LI Lei, et al. Fault diagnosis system based on wide-area fault wave recording information at dispatching center [J]. Automation of Electric Power Systems, 2014, 38(16): 100-104.
    [23] 闪鑫,戴则梅,张哲,等. 智能电网调度控制系统综合智能告警研究及应用[J]. 电力系统自动化,2015, 39 (1):65-72. SHAN Xin, DAI Zemei, ZHANG Zhe, et al. Research and application of integrated smart alarm based on smart grid dispatching and control systems [J]. Automation of Electric Power Systems, 2015, 39(1): 65-72.
    [24] 陈铁军, 宁美凤. 电网自愈控制中故障实时监测及诊断研究[J]. 自动化仪表, 2013, 34(1): 14-17. CHEN Tiejun, NING Meifeng. Study on real time fault monitoring and diagnostic in self-healing control of power grid[J]. Process Automation Instrumentation, 2013, 34(1):14-17.
    [25] 刘彤彤. 生物医学信号相似性分析方法的研究[D]. 天津:天津理工大学, 2013. LIU Tongtong. Research on similarity analysis for biomedical signal [D].Tianjin:Tianjin University of Technology, 2013.
    [26] 练仕榴, 郑刚, 牟善玲. 用于心电波形分析的相似性度量策略[J]. 计算机工程, 2011, 37(9): 263-265. LIAN Shiliu, ZHENG Gang, MOU Shanling. Similarity measurement strategie for ECG waveform analysis [J]. Computer Engineering, 2011, 37(9): 263-265.
    [27] 王婷. EMD算法研究及其在信号去噪中的应用[D]. 哈尔滨:哈尔滨工程大学, 2010. WANG Ting. Research on EMD algorithm and its application in signaldenoising [D]. Harbin:Harbin Engineering University, 2010.
    [28] 郝敬松, 马社祥, 孟鑫. 基于波形匹配的星载AIS信号检测[J]. 计算机仿真, 2015, 32(3): 73-76. HAO Jingsong, MA Shexiang, MENG Xin. Detection of satellite-based AIS signals based on waveform matching [J]. Computer Simulation, 2015, 32(3): 73-76.
    [29] 俞晨昊, 王春蘅, 陈中颖, 等. 基于波形相似度的配电网故障选线新方法[J]. 浙江电力, 2018, 37(7): 79-82. YU Chenhao, WANG Chunheng, CHEN Zhongying, et al. A new method of fault line selection in distribution network based on waveform similarity [J]. Zhejiang Electric Power, 2018, 37(7): 79-82.
    [30] 邵文权, 吉玥, 张志华. 利用单一电流模量波形互相关系数的故障选相方案[J]. 电力系统保护与控制, 2017, 45(7): 90-96. SHAO Wenquan, JI Yue, ZHANG Zhihua. A faulted phase selection scheme using waveform cross-correlation coefficient of single-mode current[J]. Power System Protection and Control, 2017, 45(7): 90-96.
    [31] 李康瑞, 杨洪耕. 基于S变换标准模板相似度的电压暂降分类[J]. 电工技术学报, 2010, 25(12): 139-146, 153. LI Kangrui, YANG Honggeng. S-transform based classification for voltage dips according to standard template similarity [J]. Transactions of China Electrotechnical Society, 2010, 25(12): 139-146, 153.
    [32] 张林利. 小电流接地故障定位方法及其应用研究[D]. 山东:山东大学, 2013. ZHANG Linli. Study on fault location method in non-effectively grounded network and its application [D]. Shandong:Shandong University, 2013.
    [33] 马士聪,徐丙垠,高厚磊,等. 检测暂态零模电流相关性的小电流接地故障定位方法[J]. 电力系统自动化,2008, 32(7):45-51. MA Shicong, XU Bingyin, GAO Houlei, et al. An earth fault locating method in feeder automation system by examining correlation of transient zero mode currents [J]. Automation of Electric Power Systems, 2008, 32(7):45-51.
    [34] 薛永端,徐丙垠,马世聪,等. 基于暂态电流相似性的馈线自动化系统接地故障分段技术[C]∥中国国际供电会议,2008: 1-4. XUE Yongduan, XU Bingyin, MA Shicong. Ground fault segmentation technique for feeder automation system based on transient current similarity [C]∥ CICED, 2008: 1-4.
    [35] 符玲, 何正友, 麦瑞坤, 等. 近似熵算法在电力系统故障信号分析中的应用[J]. 中国电机工程学报, 2008, 291(28): 68-73. FU Ling, HE Zhengyou, MAI Ruikun, et al. Application of approximate entropy to fault signal analysis in electric power system [J]. Proceedings of the CSEE, 2008, 291(28): 68-73.
    [36] 刘柱揆, 曹敏, 董涛. 基于波形相似度的小电流接地故障选线[J]. 电力系统保护与控制, 2017, 45(21): 89-95. LIU Zhukui, CAO Min, DONG Tao. Fault line selection of neutral indirectly grounding system based on waveform similarity [J]. Power System Protection and Control, 2017, 45(21): 89-95.
    [37] 李勇, 刘俊勇, 刘晓宇, 等. 基于广义支路能量时空分布熵测度的线路脆弱度评估[J]. 中国电机工程学报, 2013, 33(34):187-196. LI Yong, LIU Junyong, LIU Xiaoyu, et al. Assessment of vulnerable lines in power grid based on entropy of generalized branch energy [J]. Proceedings of the CSEE, 2013, 33(34):187-196.
    [38] 邱海峰, 陈兵, 袁晓冬, 等. 基于动态时间弯曲距离的电压暂降源辨识方法[J]. 电力系统保护与控制, 2017, 45(13): 7-13. QIU Haifeng, CHEN Bing, YUAN Xiaodong, et al. Identification of voltage sag sources based on DTW [J]. Power System Protection and Control, 2017, 45(13): 7-13.
    [39] 林德清, 顾伟, 王元凯, 等. 基于动态时间弯曲空间距离度量的电能质量综合评估[J]. 电网技术, 2013, 37(2): 562-567. LIN Deqing, GU Wei, WANG Yuankai, et al. Synthetic evaluation of power quality based on dynamic time warping spatial distance measurement [J]. Power System Technology, 2013, 37(2): 562-567.
    [40] 钟锦源, 张岩, 文福拴, 等. 基于时间序列相似性匹配的输电系统故障诊断方法[J]. 电力系统自动化, 2015, 39(6): 60-67. ZHONG Jinyuan, ZHANG Yan, WEN Fushuan, et al. A fault diagnosing method in power transmission systems based on time series similarity matching [J]. Automation of Electric Power Systems, 2015, 39(6): 60-67.
    [41] 梁晨. 基于DTW和改进人工鱼群算法的电网故障诊断方法[D]. 成都:西南交通大学, 2018. LIANG Chen. The power system fault diagnosis based on DTW and modified artificial fish swarm algorithm[D].Chengdu:Southwest Jiaotong University, 2018.
    [42] 陈乐, 薄志谦, 林湘宁, 等. 基于波形相似度比较的线路快速纵联保护研究[J]. 中国电机工程学报, 2017, 37(17): 5018-5027, 5221. CHEN Le, BO Zhiqian, LIN Xiangning, et al. Waveform similarity comparison based high-speed pilot protection for transmission line [J]. Proceedings of the CSEE, 2017, 37(17): 5018-5027, 5221.
    [43] 赵航, 林湘宁, 喻锟, 等. 基于模量Hausdorff距离波形比较的直流输电线路选择性快速保护方案[J]. 中国电机工程学报, 2017, 37(23): 6888-6900, 7079. ZHAO Hang, LIN Xiangning, YU Kun, et al. A high-speed protection scheme for HVDC transmission line based on Hausdorff distance comparison [J]. Proceedings of the CSEE, 2017, 37(23): 6888-6900, 7079.
    [44] 朱利鹏, 陆超, 黄河, 等. 基于广域时序数据挖掘策略的暂态电压稳定评估[J]. 电网技术, 2016, 40(1): 180-185. ZHU Lipeng, LU Chao, HUANG He, et al. Wide-area time series data mining based transient voltage stability assessment [J]. Power System Technology, 2016, 40(1): 180-185.
    [45] ZHU L, LU C, SUN Y. Time seriesshapelet classification based online short-term voltage stability assessment[J]. IEEE Transactions on Power Systems, 2016, 31(2):1430-1439.
    [46] YE L, KEOGH E. Time seriesshapelet: a new primitive for data mining[C]∥Proceeding of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2009: 947-956.
    [47] MUEEN A, KEOGH E, YOUNG N. Logical-shapelet: an expressive primitive for time series classification[C]∥Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. San Diego, CA, USA: ACM, 2011: 1154-1162.
    [48] 林圣, 梅俊涛, 陈双, 等. 基于暂态行波时频特征的输电线路故障检测与选相方法[J]. 电网技术, 2012, 36(7): 48-53. LIN Sheng, MEI Juntao, CHEN Shuang, et al. Fault detection and faulty phase determination of transmission lines based on time-frequency characteristics of transient travelling waves [J]. Power System Technology, 2012, 36(7): 48-53.
    [49] 韩国正. 基于小波变换和奇异值分解的配电网故障检测方法[D]. 山东:山东科技大学, 2017. HAN Guozheng. Distribution network fault detection based on wavelet transform and singular value decomposition [D]. Shandong:Shandong University of Science and Tecnology, 2017.
    [50] 郭谋发,刘世丹,杨耿杰. 利用时频谱相似度识别的配电线路接地选线方法[J]. 中国电机工程学报, 2013, 33(19): 4, 183-190. GUO Moufa, LIU Shidan, YANG Gengjie. A novel approach to detect fault lines in distribution network using similarity recognition based on time-frequency spectrum [J]. Proceedings of the CSEE, 2013, 33(19): 4, 183-190.
    [51] 郭谋发, 严敏, 陈彬, 等. 基于波形时域特征聚类法的谐振接地系统故障选线[J]. 电力自动化设备, 2015, 35(11): 59-66, 81. GUO Moufa, YAN Min, CHEN Bin, et al. Faulty line selection based on waveform feature clustering in time domain for resonance grounding system [J]. Electric Power Automation Equipment, 2015, 35(11): 59-66, 81.
    [52] 鲍洁秋. 单相串联电弧故障识别方法研究[D]. 沈阳:沈阳工业大学, 2016. BAO Jieqiu. Research on identification method of single-phase series arc fault [D]. Shenyang:Shenyang University of Technology, 2016.
    [53] 林仁杰, 李天友, 蔡金锭. 基于相平面和遗传BP神经网络的配电网线路绝缘预警[J]. 电气技术, 2015, 191(9):47-51. LIN Renjie, LI Tianyou, CAI Jinding. The warning of insulation deterioration based on the state phase and genetic BP neural network in distribution network [J]. Electrical Engineering, 2015, 191(9): 47-51.
    [54] 贾清泉, 陈丽, 袁野. 应用相平面和分层聚类的配电网单相接地故障特征分类[J]. 电力系统自动化, 2009, 33(8): 68-71. JIA Qingquan, CHEN Li, YUAN Ye. Classification of single phase to ground fault based on phase-plane and hierarchical clustering for neutral high impedance earthed distribution networks [J]. Automation Of Electric Power Systems, 2009, 33(8): 68-71.
    [55] 郑新桃. 基于波形伸缩变换和模糊K均值聚类的配电线路单相接地选线研究[D]. 福州:福州大学, 2014. ZHENG Xintao. A research of single-phase-to ground fault line selection in distribution system based on waveform stretching transform and fuzzy K-means clustering [D]. Fuzhou:Fuzhou University, 2014.
    [56] 张广斌, 束洪春, 于继来. 案例推理式输电线单端电流行波故障测距[J]. 中国电机工程学报, 2015, 35(6): 1379-1389. ZHANG Guangbin, SHU Hongchun, YU Jilai. Single-ended traveling wave fault location for transmission lines via case-based reasoning [J]. Proceedings of the CSEE, 2015, 35(6): 1379-1389.
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation
Share
Article Metrics
  • Abstract:1539
  • PDF: 2116
  • HTML: 0
  • Cited by: 0
History
  • Received:March 13,2019
  • Revised:April 21,2019
  • Adopted:June 09,2019
  • Online: September 30,2019
  • Published: September 28,2019
Article QR Code