An Adaptive Reclosing Method for Distribution Networks Based on Active-Passive Fault Detection

Traditional non-check reclosing method might operate at continuous short circuit, causing secondary shock to the distribution networks. To this end, an adaptive reclosing method for distribution networks based on active-passive fault detection is proposed in this paper. Firstly, the characteristic of voltage rise accompanied by fault clearance is applied as passive detection criterion. Additionally, active signal is injected by the converter of distributed energy resources to identify the permanent/transient fault. Then the reclosing is completed through adaptive time delay. Simulation results show that the proposed adaptive reclosing method can identify fault state and close reliably.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/appeec61255.2024.10922465
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
0.00

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article

An Adaptive Reclosing Method for Distribution Networks Based on Active-Passive Fault Detection

Bin Yang, Yuhang Guo, Ning Wei
Smart Grid Security and Resilience
article

An Adaptive Reclosing Method for Distribution Networks Based on Active-Passive Fault Detection

Bin Yang, Yuhang Guo, Ning Wei
article en

Abstract

Traditional non-check reclosing method might operate at continuous short circuit, causing secondary shock to the distribution networks. To this end, an adaptive reclosing method for distribution networks based on active-passive fault detection is proposed in this paper. Firstly, the characteristic of voltage rise accompanied by fault clearance is applied as passive detection criterion. Additionally, active signal is injected by the converter of distributed energy resources to identify the permanent/transient fault. Then the reclosing is completed through adaptive time delay. Simulation results show that the proposed adaptive reclosing method can identify fault state and close reliably.

Hebei University of Technology (CN)
National Natural Science Foundation of China, Hebei University of Technology, State Key Laboratory Of Alternate Electrical Power System With Renewable Energy Sources
Climate action
Openalex Percentile: Top 64%
Smart Grid Security and Resilience
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