Journal of Shanghai Jiao Tong University ›› 2026, Vol. 60 ›› Issue (2): 256-269.doi: 10.16183/j.cnki.jsjtu.2024.063

• New Type Power System and the Integrated Energy • Previous Articles     Next Articles

Fault Location Method for Active Distribution Networks Based on Holographic-Mapping of Time-Frequency Traveling Waves

ZENG Jupeng1, ZENG Xiangjun1(), BAI Hao2, YU Kun1, YANG Weichen2, LONG Xuanlin1, ZHUANG Jie1   

  1. 1 State Key Laboratory of Disaster Prevention and Reduction for Power Grid, Changsha University of Science and Technology, Changsha 410114, China
    2 Electric Power Research Institute, China Southern Power Grid, Guangzhou 510663, China
  • Received:2024-02-29 Revised:2024-04-08 Accepted:2024-04-24 Online:2026-02-28 Published:2026-03-06
  • Contact: ZENG Xiangjun E-mail:eexjzeng@163.com.

Abstract:

Some existing fault location methods for distribution networks rely heavily on the local wave head information in the time or frequency domain, resulting in poor location robustness and difficulty in adapting to the increasingly prominent “dual-high” characteristics of active distribution networks. To address this problem, traveling wave time and frequency ranges which can effectively prevent waveform distortion caused by new energy access are analyzed, and the one-to-one holographic-mapping relationship between the traveling wave waveforms in these ranges and the fault positions is revealed. A fault traveling wave time-frequency matrix is constructed based on specific time and frequency windows, and an active distribution network fault location method is proposed based on the holographic-mapping matching technique of waveform features, which realizes the accurate fault location by exploring the proportionality between the cumulative trend of the matrix energy amplitude deviation and the fault point position. Simulation tests and real field model experiments prove that the method effectively overcomes the impact of new energy integration and the complex structure of overhead-cable hybrid lines on fault location, and flexibly transforms the fault location problem into a time-frequency traveling wave holographic-mapping matching problem, which improves the accuracy and robustness of the fault location in active distribution networks.

Key words: active distribution network, traveling wave, fault location, holographic-mapping, time-frequency analysis

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