

浏览全部资源
扫码关注微信
1.长沙理工大学电气与信息工程学院,湖南省长沙市 410014
2.广东电网有限责任公司东莞供电局,广东省东莞市 523009
Received:24 January 2024,
Revised:2024-06-06,
Published Online:18 September 2024,
Published:25 October 2024
移动端阅览
向骊羽,周义博,苏盛等.基于台区剩余电流关联性分析的接线错误漏电用户识别方法[J].电力系统自动化,2024,48(20):191-199.
XIANG Liyu,ZHOU Yibo,SU Sheng,et al.Identification Method for Users with Wiring Errors and Leakage Current Based on Correlation Analysis of Residual Current in Distribution Station Area[J].Automation of Electric Power Systems,2024,48(20):191-199.
向骊羽,周义博,苏盛等.基于台区剩余电流关联性分析的接线错误漏电用户识别方法[J].电力系统自动化,2024,48(20):191-199. DOI: 10.7500/AEPS20240124001.
XIANG Liyu,ZHOU Yibo,SU Sheng,et al.Identification Method for Users with Wiring Errors and Leakage Current Based on Correlation Analysis of Residual Current in Distribution Station Area[J].Automation of Electric Power Systems,2024,48(20):191-199. DOI: 10.7500/AEPS20240124001.
低压配电网中,台区剩余电流与零线、地线接线错误用户的用电行为具有密切关联性,而正常用户对台区剩余电流的影响较小。文中提出一种基于台区剩余电流关联性分析的接线错误漏电用户识别方法,根据接线错误用户的负荷电流与台区总剩余电流之间的内在关系来识别接线错误的漏电用户。首先,指出了基于电流幅值回归分析识别异常用户的理论缺陷;然后,结合台区剩余电流实部时序数据和台区用户负荷电流实部时序数据构建状态方程和测量方程,采用卡尔曼滤波进行状态估计,通过计算各用户负荷电流与台区剩余电流的相关系数,达到识别接线错误的漏电用户的目的;最后,基于已查证的含接线错误的漏电台区的实际数据,验证了所提方法的有效性。
In the low-voltage distribution network
the residual current in the distribution station area is closely related to the consumption behavior of users with wiring errors of neutral lines and grounding lines
while the normal users have little influence on the residual current in the distribution station area. In this paper
an identification method for users with wiring errors and leakage current based on correlation analysis of residual current in distribution station area is proposed
which identifies the users with wiring errors according to the internal relationship between the load current of the users with wiring errors and the total residual current in the distribution station area. First
the theoretical defects of abnormal user identification based on current amplitude regression analysis is pointed out. Then
the state equation and measurement equation are constructed by combining the real part time series data of the residual current and the user load current in the distribution station area. Kalman filter is used to estimate the state
and the correlation coefficient between the load current of each user and the residual current in the distribution station area is calculated to identify the users with wiring errors and leakage current. Finally
the validity of the proposed method is verified based on the verified actual data of the distribution station area with wiring errors and leakage current.
李天友 , 黄伟达 , 邱智勇 . 低压配电公共安全问题分析 [J]. 供用电 , 2021 , 38 ( 12 ): 9 - 14 .
LI Tianyou , HUANG Weida , QIU Zhiyong . Analysis on public safety of low-voltage distribution network [J]. Distribution & Utilization , 2021 , 38 ( 12 ): 9 - 14 .
梁栋 , 王玮 , 孙中玉 , 等 . TN-C-S系统双突变量电流分离漏电保护方法 [J]. 电力系统保护与控制 , 2022 , 50 ( 15 ): 168 - 177 .
LIANG Dong , WANG Wei , SUN Zhongyu , et al . A current separation leakage protection method using double mutations for TN-C-S systems [J]. Power System Protection and Control , 2022 , 50 ( 15 ): 168 - 177 .
剩余电流动作保护装置安装和运行 : GB/T 13955—2017 [S]. 北京 : 中国标准出版社 , 2017 .
Installation and operation of residual current operated protective devices : GB/T 13955—2017 [S]. Beijing : Standards Press of China , 2017 .
王连辉 , 陈瑞娜 , 王呈杰 , 等 . 低压配电网剩余电流保护运行现状探讨 [J]. 现代建筑电气 , 2019 , 10 ( 7 ): 23 - 28 .
WANG Lianhui , CHEN Ruina , WANG Chengjie , et al . Discussion on current status of residual current protection of low voltage distribution network [J]. Modern Architecture Electric , 2019 , 10 ( 7 ): 23 - 28 .
薛璐璐 , 程启明 , 韩永翔 , 等 . 低压配电台区漏电故障排查 [J]. 光源与照明 , 2023 ( 2 ): 204 - 206 .
XUE Lulu , CHENG Qiming , HAN Yongxiang , et al . Troubleshooting of leakage fault in low-voltage distribution station area [J]. Lamps & Lighting , 2023 ( 2 ): 204 - 206 .
马国政 , 王刚 . 精确定位台区高损原因的现场核查方法 [J]. 农村电工 , 2022 , 30 ( 5 ): 50 - 51 .
MA Guozheng , WANG Gang . On-site verification method for accurately locating the causes of high loss in the station area [J]. Rural Electician , 2022 , 30 ( 5 ): 50 - 51 .
钟术海 , 赵建军 , 鞠默欣 , 等 . 基于电流偏差分析技术的窃漏电定位方法 [J]. 吉林电力 , 2019 , 47 ( 6 ): 51 - 53 .
ZHONG Shuhai , ZHAO Jianjun , JU Moxin , et al . Power theft and leakage location method based on current deviation analysis technology [J]. Jilin Electric Power , 2019 , 47 ( 6 ): 51 - 53 .
陈启鑫 , 郑可迪 , 康重庆 , 等 . 异常用电的检测方法:评述与展望 [J]. 电力系统自动化 , 2018 , 42 ( 17 ): 189 - 199 .
CHEN Qixin , ZHENG Kedi , KANG Chongqing , et al . Detection methods of abnormal electricity consumption behaviors: review and prospect [J]. Automation of Electric Power Systems , 2018 , 42 ( 17 ): 189 - 199 .
金晟 , 苏盛 , 薛阳 , 等 . 数据驱动窃电检测方法综述与低误报率研究展望 [J]. 电力系统自动化 , 2022 , 46 ( 1 ): 3 - 14 .
JIN Sheng , SU Sheng , XUE Yang , et al . Review on data-driven based electricity theft detection method and research prospect for low false positive rate [J]. Automation of Electric Power Systems , 2022 , 46 ( 1 ): 3 - 14 .
李振钊 , 王增平 , 张玉玺 . 基于多源信息融合的有源配电网故障测距新方法 [J]. 电网技术 , 2023 , 47 ( 8 ): 3448 - 3459 .
LI Zhenzhao , WANG Zengping , ZHANG Yuxi . New method of fault location for active distribution network based on multi-source information fusion [J]. Power System Technology , 2023 , 47 ( 8 ): 3448 - 3459 .
黄国政 , 赵瑞锋 , 梁国斌 , 等 . 基于电流突变比和支持向量机的TN-C-S系统漏电故障二级判别方法 [J]. 供用电 , 2023 , 40 ( 2 ): 17 - 23 .
HUANG Guozheng , ZHAO Ruifeng , LIANG Guobin , et al . Two-stage leakage protection method of TN-C-S system based on ratio of current mutations and support vector machine [J]. Distribution & Utilization , 2023 , 40 ( 2 ): 17 - 23 .
杨帅 , 张治国 , 黄治国 , 等 . 漏电排查系统中漏电电流基波和谐波分量分离方法 [J]. 电力科学与技术学报 , 2020 , 35 ( 6 ): 180 - 186 .
YANG Shuai , ZHANG Zhiguo , HUANG Zhiguo , et al . Method for separation of base and harmonious wave component of leakage current in the leakage detection system [J]. Journal of Electric Power Science and Technology , 2020 , 35 ( 6 ): 180 - 186 .
尹善耀 , 肖毅 , 许晓春 , 等 . 基于自适应分段聚合近似的户变关系聚类识别方法 [J]. 广东电力 , 2023 , 36 ( 2 ): 76 - 83 .
YIN Shanyao , XIAO Yi , XU Xiaochun , et al . Clustering identification method of household-transformer relationship based on adaptive piecewise aggregation approximation [J]. Guangdong Electric Power , 2023 , 36 ( 2 ): 76 - 83 .
赖志强 , 李彬 , 李文松 , 等 . 基于台区剩余电流监测的接线错误用户漏电故障定位 [J]. 中国电机工程学报 , 2024 , 44 ( 1 ): 85 - 95 .
LAI Zhiqiang , LI Bin , LI Wensong , et al . Leakage fault location of users with abnormal wiring based on residual current monitoring in serving zone of distribution transformer [J]. Proceedings of the CSEE , 2024 , 44 ( 1 ): 85 - 95 .
周凯欣 , 冯萧飞 , 苏盛 , 等 . 基于时序关联特性的错误接线漏电用户定位方法 [J]. 仪器仪表学报 , 2023 , 44 ( 10 ): 247 - 259 .
ZHOU Kaixin , FENG Xiaofei , SU Sheng , et al . User location method of erroneous wiring and leakage electricity based on timing correlation characteristics [J]. Chinese Journal of Scientific Instrument , 2023 , 44 ( 10 ): 247 - 259 .
陈航宇 , 李天友 , 杨智奇 . 低压配网剩余电流保护运行现状及相关措施分析 [J]. 电气技术 , 2021 , 22 ( 1 ): 104 - 108 .
CHEN Hangyu , LI Tianyou , YANG Zhiqi . Analysis of current operation status and relevant measures of low-voltage distribution network residual current protection [J]. Electrical Engineering , 2021 , 22 ( 1 ): 104 - 108 .
李浩 , 刘继勋 , 赵恒 , 等 . 基于生物电阻抗频率散射特性的触电特征识别仿真研究 [J]. 四川电力技术 , 2014 , 37 ( 3 ): 10 - 13 .
LI Hao , LIU Jixun , ZHAO Heng , et al . Simulation research on identification of electric shock characteristics based on frequency scattering characteristic of electrical bioimpedance [J]. Sichuan Electric Power Technology , 2014 , 37 ( 3 ): 10 - 13 .
BERHANE T , SHIBABAW N , SHIBABAW A , et al . Forecasting the Ethiopian coffee price using Kalman filtering algorithm [J]. Journal of Resources and Ecology , 2018 , 9 ( 3 ): 302 - 305 .
李辉 , 任洲洋 , 胡博 , 等 . 基于时序生成对抗网络的月度风光发电功率场景分析方法 [J]. 中国电机工程学报 , 2022 , 42 ( 2 ): 537 - 548 .
LI Hui , REN Zhouyang , HU Bo , et al . A sequential generative adversarial network based monthly scenario analysis method for wind and photovoltaic power [J]. Proceedings of the CSEE , 2022 , 42 ( 2 ): 537 - 548 .
CHEN D D , XIAO L . A novel fundamental and harmonics detection method based on state-space model for power electronics system [J]. IEEE Access , 2020 , 8 : 170002 - 170012 .
周亚中 , 何怡刚 , 邢致恺 , 等 . 基于IDBO-ARIMA的电力变压器振动信号预测 [J]. 电子测量与仪器学报 , 2023 , 37 ( 8 ): 11 - 20 .
ZHOU Yazhong , HE Yigang , XING Zhikai , et al . Power transformer vibration signal prediction based on IDBO-ARIMA [J]. Journal of Electronic Measurement and Instrumentation , 2023 , 37 ( 8 ): 11 - 20 .
彭宇文 , 杨之乐 , 李冰 , 等 . 基于VMD-ISSA-LSTM的短期光伏发电功率预测 [J]. 广东电力 , 2024 , 37 ( 1 ): 18 - 26 .
PENG Yuwen , YANG Zhile , LI Bing , et al . Short term photovoltaic power generation prediction based on VMD-ISSA-LSTM [J]. Guangdong Electric Power , 2024 , 37 ( 1 ): 18 - 26 .
郭猛 , 郝全睿 , 李东 . 混合型MMC的改进桥臂平均值与状态空间模型 [J]. 电力系统自动化 , 2023 , 47 ( 19 ): 116 - 127 .
GUO Meng , HAO Quanrui , LI Dong . Improved arm average and state-space models of hybrid modular multilevel converter [J]. Automation of Electric Power Systems , 2023 , 47 ( 19 ): 116 - 127 .
童宇凡 . 基于Kalman滤波的成都市房价数据研究 [D]. 成都 : 西南财经大学 , 2022 .
TONG Yufan . Research on Chengdu house price data based on Kalman filter [D]. Chengdu : Southwestern University of Finance and Economics , 2022 .
FANG Y , PANAH A , MASOUDI J , et al . Adaptive unscented Kalman filter for robot navigation problem (adaptive unscented Kalman filter using incorporating intuitionistic fuzzy logic for concurrent localization and mapping) [J]. IEEE Access , 2022 , 10 : 101869 - 101879 .
0
Views
0
下载量
2
CSCD
Publicity Resources
Related Articles
Related Author
Related Institution
京公网安备11010802024621