Location of Faulty Section and Faults in Hybrid Multi-Terminal Lines Based on Traveling Wave Methods
Yi Ning,
Dazhi Wang,
Yunlu Li and
Haixin Zhang
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Yi Ning: School of Information Science and Engineering, Northeastern University, Shenyang 110819, China
Dazhi Wang: School of Information Science and Engineering, Northeastern University, Shenyang 110819, China
Yunlu Li: School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
Haixin Zhang: School of Information Science and Engineering, Northeastern University, Shenyang 110819, China
Energies, 2018, vol. 11, issue 5, 1-18
Abstract:
Traveling-wave-based fault location methods are widely used for modern power systems owing to their high accuracy on two-terminal lines. However, they perform poorly on hybrid multi-terminal lines. Many traveling-wave-based methods have been developed recently to solve this problem, but they have high computational burdens and complex fault location procedures. To tackle this challenge, a new fault location method is presented in this paper. First, to ensure that the implementation of the proposed method is not affected by different line parameters, a normalization algorithm is used for hybrid multi-terminal lines, which consist of overhead lines and cables. To reduce the complexity, a novel fault section identification method that depends only on the first three arrival times is applied to separate a three-terminal fault section from the multi-terminal lines. Consequently, the fault can be located using a corresponding two-terminal fault location method in this fault section. To verify its effectiveness, fault case studies and performance evaluations are performed in the PSCAD and MATLAB/Simulink environment. The simulation results reveal that the proposed method can correctly identify the fault section and accurately locate the faults, which is simple and suitable for hybrid multi-terminal lines.
Keywords: fault section identification; fault location; traveling wave; multi-terminal lines (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (2)
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