Fault Phase Selection of Large-Scale Wind Farm’s Outgoing Line Based on Transient Voltage S-Transform Energy Relative Entropy

Traditional fault phase selection methods are not easily adaptable to large-scale wind farms. This paper proposes a fault phase selection method based on transient voltage S-transform energy relative entropy (SERE) to realize adaptive reclosing of the circuit breaker on the wind farm outgoing line. According to the characteristics of the three-phase transient voltage fault component, the three-phase transient voltage after a fault is collected, and the fault component is calculated. The SERE of the three-phase voltage is calculated. The maximum and minimum entropy are determined, and the criterion is constructed to identify the fault phase. The simulation results show that the proposed method can identify the fault phase accurately and quickly. The method is less affected by fault location, fault type, initial fault phase angle, and wind speed. In particular, the method can also accurately identify the fault phase under a remote high-resistance fault. The results compared with those of the traditional methods show that the proposed method demonstrates its superiority under different transitions and wind speeds.

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Publication Details

Journal
Processes
Published
2025-09-28
DOI
https://doi.org/10.3390/pr13103105
Primary Topic
Plant-Microbe Interactions and Immunity
Type
article
Field-Weighted Citation Impact
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article

Fault Phase Selection of Large-Scale Wind Farm’s Outgoing Line Based on Transient Voltage S-Transform Energy Relative Entropy

Processes
Plant-Microbe Interactions and Immunity
article

Fault Phase Selection of Large-Scale Wind Farm’s Outgoing Line Based on Transient Voltage S-Transform Energy Relative Entropy

article en

Abstract

Traditional fault phase selection methods are not easily adaptable to large-scale wind farms. This paper proposes a fault phase selection method based on transient voltage S-transform energy relative entropy (SERE) to realize adaptive reclosing of the circuit breaker on the wind farm outgoing line. According to the characteristics of the three-phase transient voltage fault component, the three-phase transient voltage after a fault is collected, and the fault component is calculated. The SERE of the three-phase voltage is calculated. The maximum and minimum entropy are determined, and the criterion is constructed to identify the fault phase. The simulation results show that the proposed method can identify the fault phase accurately and quickly. The method is less affected by fault location, fault type, initial fault phase angle, and wind speed. In particular, the method can also accurately identify the fault phase under a remote high-resistance fault. The results compared with those of the traditional methods show that the proposed method demonstrates its superiority under different transitions and wind speeds.

ProcessesVol. 13(10)
Kunming University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 34%
Plant-Microbe Interactions and Immunity
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