Fault Location Method for Active Distribution Network Based on Multi-Source Electrical Information

As traditional distribution network evolves into active distribution network (ADN) and meteorological disasters caused by global climate change make distribution network faults more complex and diverse, fault location technology faces significant challenges. To address this, this paper proposes a fault location method based on multi-source electrical information for ADN. First, by integrating the information provided by the feeder terminal unit (FTU) and the micro-phasor measurement unit (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mu \text{PMU}$</tex>), four comprehensive logic criteria for fault location are established. Then, an analytical model for fault location in ADN is developed based on the logical criteria, and the optimal fault hypothesis is determined using the Tabu Search (TS) algorithm. Finally, simulations are conducted to verify the effectiveness of the proposed method.

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Publication Details

Published
2024-12-10
DOI
https://doi.org/10.1109/icscge64239.2024.11064240
Primary Topic
Smart Grid and Power Systems
Type
article
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Fault Location Method for Active Distribution Network Based on Multi-Source Electrical Information

Fangyuan Tian, Jiayin Dai, Darui He, Yifei Fan et al.
Smart Grid and Power Systems
article

Fault Location Method for Active Distribution Network Based on Multi-Source Electrical Information

Fangyuan Tian, Jiayin Dai, Darui He, Yifei Fan, Jiaqi Zheng, Chengjie Cao
article en

Abstract

As traditional distribution network evolves into active distribution network (ADN) and meteorological disasters caused by global climate change make distribution network faults more complex and diverse, fault location technology faces significant challenges. To address this, this paper proposes a fault location method based on multi-source electrical information for ADN. First, by integrating the information provided by the feeder terminal unit (FTU) and the micro-phasor measurement unit (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mu \text{PMU}$</tex>), four comprehensive logic criteria for fault location are established. Then, an analytical model for fault location in ADN is developed based on the logical criteria, and the optimal fault hypothesis is determined using the Tabu Search (TS) algorithm. Finally, simulations are conducted to verify the effectiveness of the proposed method.

Openalex Percentile: Top 72%
Smart Grid and Power Systems
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Fault Location Method for Active Distribution Network Based on Multi-Source Electrical Information — Fangyuan Tian, Jiayin Dai, et al. · (2024) | TGRS Research Map | TGRS