Paper
14 October 2021 Fault section identification of distribution network based on zero sequence current distribution characteristics
Yirong Su, Weiwei Zhang, Huamin Liang, Lutong Yang
Author Affiliations +
Proceedings Volume 11930, International Conference on Mechanical Engineering, Measurement Control, and Instrumentation; 119300S (2021) https://doi.org/10.1117/12.2611053
Event: International Conference on Mechanical Engineering, Measurement Control, and Instrumentation (MEMCI 2021), 2021, Guangzhou, China
Abstract
For single-phase earth fault of small current grounding system, a new method based on zero sequence current distribution is proposed to accurately identify the fault section of single terminal radial distribution network. The zero-sequence equivalent circuit model of the small current grounding system is established to analyze the distribution characteristics of zero-sequence current between the fault-line and the fault-line in the case of single-phase grounding fault, and the identification criterion of fault section is constructed according to the difference of the amplitude of zero-sequence current between the upstream and downstream of the fault point. Using distributed fault indicator installed along the line, the amplitude of fault zero sequence current is obtained synchronously. The fault line segments are identified and the fault points are located between the two fault indicators by clustering the data hierarchy in the data object matrix. In PSCAD/EMTDC, a 10kV small current grounding system model is built to verify the accuracy and reliability of the proposed method. Simulation results show that the proposed fault zone identification method is not affected by fault resistance, fault initial phase Angle and fault location.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yirong Su, Weiwei Zhang, Huamin Liang, and Lutong Yang "Fault section identification of distribution network based on zero sequence current distribution characteristics", Proc. SPIE 11930, International Conference on Mechanical Engineering, Measurement Control, and Instrumentation, 119300S (14 October 2021); https://doi.org/10.1117/12.2611053
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KEYWORDS
Resistance

Head

Networks

Computer simulations

Data modeling

Distance measurement

Reliability

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