基于多目标加权灰靶决策的有源配电网故障区段定位方法
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(1.山东理工大学电气与电子工程学院,山东 淄博 255049;2.国网河南省电力公司电力科学研究院, 河南 郑州 450052;3.中国石油大学(华东)信控学院,山东 青岛 266580)

作者简介:

程梦竹(1996—),女,硕士研究生,研究方向为配电网接地故障定位;E-mail: 15215330373@163.com 张新慧(1971—),女,通信作者,博士,教授,研究方向为智能配电网保护与控制等;E-mail: zhxh626@126.com 徐铭铭(1985—),男,博士研究生,研究方向为智能配电网故障。Email:xu_ming_ming@vip.sina.com

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国家电网公司科技项目资助(SGHADK00PJJS 1900078)


Location method of an active distribution network fault section based on multi-target weighted grey target decision
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(1. School of Electrical & Electronic Engineering, Shandong University of Technology, Zibo 255049, China; 2. Electric Power Research Institute of State Grid Henan Electric Power Company, Zhengzhou 450052, China; 3. College of Information and Control Engineering, China University of Petroleum (East China), Qingdao 266580, China)

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    基于多目标加权灰靶决策的有源配电网故障区段定位方法

    Abstract:

    When distributed generators are connected to a distribution network, the existing centralized fault location method based on single-fault-characteristic finds it difficult to locate the fault segment reliably. Thus a distributed fault section location method based on multi-objective weighted grey target decision is proposed to help solve this problem. By analyzing the influence of distributed generation on the single-phase ground fault current, the normalized equivalent resistance and the fluctuation quantities of the transient zero-mode current in the section, the attenuation speed and the difference of zero-sequence current are selected as the evaluation indices of the section state. The target distance of the sampling data of each section under the three decision results of the healthy section, the upstream section of the fault point and the fault section are calculated respectively to determine whether the section is a fault section. PSCAD/EMTDC simulation results show that the proposed method can integrate diverse fault characteristics, and that it is suitable for locating the fault section of a radial distribution network with IIDG under different fault conditions. This work is supported by the Science and Technology Project of State Grid Corporation of China (No. SGHADK00PJJS1900078).

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程梦竹,张新慧,徐铭铭,等.基于多目标加权灰靶决策的有源配电网故障区段定位方法[J].电力系统保护与控制,2021,49(11):124-132.[CHENG Mengzhu, ZHANG Xinhui, XU Mingming, et al. Location method of an active distribution network fault section based on multi-target weighted grey target decision[J]. Power System Protection and Control,2021,V49(11):124-132]

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  • 收稿日期:2020-09-07
  • 最后修改日期:2021-04-15
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  • 在线发布日期: 2021-05-28
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