Work

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

Year: 2025

Type: article

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.

Source: Processes

DOI: 10.3390/pr13103105

Authors: Xiaohan Jiang, Hongchun Shu

Institution: Kunming University of Science and Technology

Language: English

Topic: Power Systems Fault Detection

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,896