Fault distance estimation method for two-phase short circuit in distribution networks considering photovoltaic output characteristics

The widespread integration of photovoltaic generation systems (PVGSs) has significantly altered the fault characteristics of distribution networks, thus impacting existing methods for estimating fault distances. Moreover, the current methods often suffer from complex principles, high costs, and limited universality, limiting their widespread application. In this study, the steady-state output characteristics of PVGS during fault ride-through periods are fully considered, and a composite sequence network for two-phase short-circuit faults in distribution networks with PVGS is established. The characteristics of two-phase short-circuit faults located upstream and downstream of the PVGS are analyzed. On the basis of this analysis, a novel fault distance estimation method for two-phase short-circuit faults based on the single-end steady-state current magnitude is proposed. This method only requires measurement of the fault phase current magnitude at the beginning of the line, thus offering low implementation difficulty and good cost-effectiveness. Finally, simulations validate the accuracy of this method under different fault locations and PVGS output levels and its robustness against measurement errors, various PVGS connection positions, and different loads. • Utilize PVGS fault output for innovative fault distance estimation. • Introduce fault location using single-end steady-state current measurements. • Overcome limitations of mainstream methods with cost-effective simplicity. • Ensure robust fault positioning amidst various influencing factors.

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Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2024-12-07
DOI
https://doi.org/10.1016/j.ijepes.2024.110406
Citations
2
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
0.66
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article

Fault distance estimation method for two-phase short circuit in distribution networks considering photovoltaic output characteristics

Ruixiao Zhao, Guang Li, Zhihua Zhang, Yongduan Xue
2 citations
International Journal of Electrical Power & Energy Systems
Power Systems Fault Detection
0.66
article

Fault distance estimation method for two-phase short circuit in distribution networks considering photovoltaic output characteristics

Ruixiao Zhao, Guang Li, Zhihua Zhang, Yongduan Xue
article en
2 citations

Abstract

The widespread integration of photovoltaic generation systems (PVGSs) has significantly altered the fault characteristics of distribution networks, thus impacting existing methods for estimating fault distances. Moreover, the current methods often suffer from complex principles, high costs, and limited universality, limiting their widespread application. In this study, the steady-state output characteristics of PVGS during fault ride-through periods are fully considered, and a composite sequence network for two-phase short-circuit faults in distribution networks with PVGS is established. The characteristics of two-phase short-circuit faults located upstream and downstream of the PVGS are analyzed. On the basis of this analysis, a novel fault distance estimation method for two-phase short-circuit faults based on the single-end steady-state current magnitude is proposed. This method only requires measurement of the fault phase current magnitude at the beginning of the line, thus offering low implementation difficulty and good cost-effectiveness. Finally, simulations validate the accuracy of this method under different fault locations and PVGS output levels and its robustness against measurement errors, various PVGS connection positions, and different loads. • Utilize PVGS fault output for innovative fault distance estimation. • Introduce fault location using single-end steady-state current measurements. • Overcome limitations of mainstream methods with cost-effective simplicity. • Ensure robust fault positioning amidst various influencing factors.

International Journal of Electrical Power & Energy SystemsVol. 164
China University of Petroleum, East China (CN)
Affordable and clean energy
Openalex Percentile: Top 28%
Power Systems Fault Detection
0.66
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