Identification of Low-Voltage Distribution Substation Based on DTW Method

被引:0
|
作者
Li, Guocheng [1 ]
Ma, Long [1 ]
Wang, Cong [1 ]
Lu, Zeguang [1 ]
Hu, Guorui [1 ]
Li, Zhimin [1 ]
Cui, Haichao [1 ]
Lei, Jiakun [1 ]
机构
[1] State Grid Dezhou Power Supply Co, Dezhou, Peoples R China
关键词
low-voltage distribution substation; voltage sequence; DTW distance; topology identification;
D O I
10.1109/ICMTIM62047.2024.10629614
中图分类号
学科分类号
摘要
A method is proposed for identifying the topology of low-voltage distribution substation with errors based on dynamic time warping (DTW) distance and cluster analysis. This method first uses DTW distance to measure the similarity between voltage curves of users, and then performs cluster analysis on the voltage curves of users using the minimum-maximum distance principle to identify the substation to which low-voltage users belong and to distinguish users within the same substation. The correctness and effectiveness of the proposed method are verified by simulation results.
引用
收藏
页码:262 / 265
页数:4
相关论文
共 50 条
  • [1] Identification of low-voltage distribution substation topology based on user profile
    Li, Jiang
    Yao, Xinlong
    Liu, Bo
    FRONTIERS IN ENERGY RESEARCH, 2024, 12
  • [2] Phase Identification of Low-voltage Distribution Network Based on Stepwise Regression Method
    Yi, Yingqi
    Liu, Siliang
    Zhang, Yongjun
    Xue, Ying
    Deng, Wenyang
    Li, Qinghao
    JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2023, 11 (04) : 1224 - 1234
  • [3] Phase Identification of Low-voltage Distribution Network Based on Stepwise Regression Method
    Yingqi Yi
    Siliang Liu
    Yongjun Zhang
    Ying Xue
    Wenyang Deng
    Qinhao Li
    Journal of Modern Power Systems and Clean Energy, 2023, 11 (04) : 1224 - 1234
  • [4] Low-voltage distribution network topology identification method based on knowledge graph
    Gao Z.
    Zhao Y.
    Yu Y.
    Luo Y.
    Xu Z.
    Zhang L.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2020, 48 (02): : 34 - 43
  • [5] Topology Identification Method of Low-Voltage Distribution Network Based on Regression Analysis of Voltage Characteristic Parameters
    Liu, Su
    Zhou, Diehui
    Li, Keming
    Hou, Shuaishuai
    2021 6TH INTERNATIONAL CONFERENCE ON SMART GRID AND ELECTRICAL AUTOMATION (ICSGEA 2021), 2021, : 75 - 79
  • [6] Identification Method of Distributed Photovoltaic Power in Low-voltage Distribution Networks
    Liu B.
    Ke D.
    Li P.
    Xu J.
    Bai H.
    Yu L.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2019, 43 (19): : 111 - 116and123
  • [7] Topology identification method of low-voltage distribution network based on measurement data of IoT devices
    Wu, Shutan
    Han, Jun
    Cai, Chao
    Wang, Qi
    ENERGY REPORTS, 2023, 9 : 370 - 376
  • [8] Topology and Impedance Identification Method of Low-Voltage Distribution Network Based on Smart Meter Measurements
    Tong, Li
    Chai, Weijian
    Wu, Dongqi
    FRONTIERS IN ENERGY RESEARCH, 2022, 10
  • [9] Topology Identification Method for Low-voltage Active Distribution Network Based on Branch Active Power
    Zhang, Wei
    Xu, Jin
    Liu, Jiapeng
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2022, 46 (15): : 85 - 95
  • [10] Transformer-customer identification method for a low-voltage distribution network based on voltage clustering and incidence convolution
    Xu M.
    Zhao J.
    Wang X.
    Li L.
    Xuan Y.
    Xu X.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2022, 50 (04): : 92 - 102