基于多频导纳测量的配电网接地故障辨识方法
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TM771

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国家自然科学基金(51737002)


Ground fault identification method for distribution networks based on multi-frequency admittance measurements
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    摘要:

    为解决谐振接地配电网高阻接地故障辨识困难的问题,提出基于多频导纳测量的配电网接地故障辨识方法。首先,建立由配电网中性点处注入特征信号等效回路,通过向配电网注入多频电流信号,测量返回电压信号,测算获得配电网多频导纳参数及阻尼率参数。然后,对由故障过渡电阻产生的增量阻尼率进行叠加,实现故障特征量的有效放大,同时大幅降低干扰的影响,从而有效地辨识高阻接地故障。最后,在PSCAD/EMTDC仿真环境中搭建典型10 kV配电网模型,对不同运行条件下的接地故障进行模拟,算例仿真表明该方法通过叠加多频段特征信号下的系统增量阻尼率,可使接地故障特征得以突显,并具备较高的抗噪声能力,大幅提高了高阻接地故障的辨识能力。

    Abstract:

    In order to solve the difficulty when identifying the high-resistance ground faults in resonant grounded distribution networks, this paper proposes an identification method for based on multi-frequency admittance measurements. An equivalent circuit for injecting characteristic signals is established. By injecting multi-frequency current signals into the distribution network, and measuring the return voltage signal, the parameters of multi-frequency admittance and damping rate in the distribution networks can be obtained. The incremental damping rate generated by the fault transition resistance is superimposed to effectively amplify the fault characteristic signals, and thus the influence of interference can be reduced so as to effectively identify the high-resistance ground faults. A typical 10kV distribution network is established via the PSCAD / EMTDC to simulate the ground faults under different operating conditions. Simulation results show that the method can explore ground fault characteristics by superimposing the system's incremental damping rate under multi-band characteristic signals. This validates the high anti-noise ability of this method when identifying high resistance ground faults.

    参考文献
    [1] 要焕年,曹梅月.电力系统谐振接地[M].北京:中国电力出版社,2009,25-37.
    [2] 汤旻安,张凯越,许希元.基于启发式规则与AHP-CRITIC算法的配电网故障恢复策略[J].电力系统保护与控制,2020,48(14):1-9.TANG Minan,ZHANG Kaiyue,XU Xiyuan.Service restoration strategy of a distribution network based on heuristic rules and the AHP-CRITIC algorithm[J].Power System Protection and Control,2020,48(14):1-9.
    [3] 徐丙垠,薛永端,冯光,等.配电网接地故障保护若干问题的探讨[J].电力系统自动化,2019,43(20):1-7.XU Bingyin,XUE Yonduan,FENG Guang,et al.Discussion on several problems of ground fault protection in distribution networks[J].Automation of Electric Power Systems,2019,43(20):1-7.
    [4] 张健磊,高湛军,孙旭日,等.基于NSGA-II算法的有源配电网故障定位方法研究[J].电测与仪表,2020,57(9):33-39.ZHANG Jianlei,GAO Zhanjun,SUN Xuri,et al.Research on fault location method for active distribution network based on NSGA-II algorithm[J].Electrical Measurement & Instrumentation,2020,57(9):33-39.
    [5] MA Hongjiang,ZENG Xiangjun,WANG Yuanyuan,et al.Grounding fault protection with fault resistance measuring for ineffectively earthed power systems[C]//Proceedings of 2005 IEEE/PES Transmission and Distribution Conference and Exhibition:Asia and Pacific,Dalian,China:IEEE,2005:1-3.
    [6] 杨睿,高红均,李海波,等.基于稀疏表示的配电网故障区段定位研究[J].智慧电力,2021,49(10):8-15.YANG Rui,GAO Hongjun,LI Haibo,et al.Fault section location in distribution network based on sparse representation[J].Smart Power,2021,49(10):8-15.
    [7] 刘渝根,陈超,杨蕊菁,等.基于小波相对熵的变电站直流系统接地故障定位方法[J].高压电器,2020,56(1):169-174.LIU Yugen,CHEN Chao,YANG Ruijing,et al.Location method of ground fault in DC system of substation based on wavelet relative entropy[J].High Voltage Apparatus,2020,56(1):169-174.
    [8] 王巍璋,王淳,尹发根.基于可达矩阵和贝叶斯定理的含分布式电源的配电网故障区段定位[J].中国电力,2021,54(7):93-99+124.WANG Weizhang,WANG Chun,YIN Fagen.Reachability matrix and bayes' theorem based fault section location of power distribution network with distributed generation[J].Electric Power,2021,54(7):93-99+124.
    [9] 孔祥玉,徐勇,李鹏,等.基于云边架构和小波神经网络的配电网故障诊断方法[J].供用电,2020,37(4):17-23.KONG Xiangyu,XU Yong,LI Peng,et al.Fault diagnosis method of distribution network based on cloud-edge computing architecture and wavelet neural network[J].Distribution & Utilization,2020,37(4):17-23.
    [10] 张欣,裴立耕,王永庆,等.基于灰狼算法的多目标配电网重构[J].电网与清洁能源,2020,36(3):34-41.ZHANG Xin,PEI Ligeng,WANG Yongqing,et al.Multi-objective distribution network reconfiguration based on grey wolf algorithm[J].Power System and Clean Energy,2020,36(3):34-41.
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引用本文

李越宇,喻锟,曾祥君,等.基于多频导纳测量的配电网接地故障辨识方法[J].电力科学与技术学报,2022,37(1):122-129.
LI Yueyu, Yu Kun, ZENG Xiangjun, et al. Ground fault identification method for distribution networks based on multi-frequency admittance measurements[J]. Journal of Electric Power Science and Technology,2022,37(1):122-129.

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  • 在线发布日期: 2022-04-01
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