Research on Full-Waveform Distance Protection Algorithm for PV Transmission Lines

The fault characteristics of photovoltaic (PV) power station outgoing lines differ from those of traditional synchronous generators due to the influence of power electronic devices and converter control strategies. This study analyzes the adaptability of distance protection for PV outgoing lines under different fault regions and types. A full-waveform-based distance protection algorithm for PV outgoing lines is proposed and validated through simulation. The results demonstrate that the proposed algorithm is unaffected by the limited short-circuit current magnitude and controlled phase angle of PV stations while exhibiting strong tolerance to transition resistance.

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Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1109/iseae64934.2025.11041828
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on Full-Waveform Distance Protection Algorithm for PV Transmission Lines

Ziqian Liu, Guizhong Wang, Jia Chen, Caiyun Mo et al.
Power Systems Fault Detection
article

Research on Full-Waveform Distance Protection Algorithm for PV Transmission Lines

Ziqian Liu, Guizhong Wang, Jia Chen, Caiyun Mo, Yuxin Zhang, Guoqing Zhang, Yan Sun, Zhiguo Ren
article en

Abstract

The fault characteristics of photovoltaic (PV) power station outgoing lines differ from those of traditional synchronous generators due to the influence of power electronic devices and converter control strategies. This study analyzes the adaptability of distance protection for PV outgoing lines under different fault regions and types. A full-waveform-based distance protection algorithm for PV outgoing lines is proposed and validated through simulation. The results demonstrate that the proposed algorithm is unaffected by the limited short-circuit current magnitude and controlled phase angle of PV stations while exhibiting strong tolerance to transition resistance.

Harbin Institute of Technology (CN)
State Grid Corporation of China
Openalex Percentile: Top 84%
Power Systems Fault Detection
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