Novel Method for Identifying Fault Location of Mixed Lines

Lei Wang, Hui Liu, Le Van Dai and Yuwei Liu
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Lei Wang: School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China
Hui Liu: School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China
Le Van Dai: Institute of Research and Development, Duy Tan University, Danang 550000, Vietnam
Yuwei Liu: School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China

Energies, 2018, vol. 11, issue 6, 1-19

Abstract: The identification and localization of a fault are a basic requirement for optimal operation of a modern power system. An effective fault identification method significantly reduces outage time, improves the electrical supply reliability, and enhances the speed of protection control. This paper proposes a novel method based on the theory of the two-terminal traveling wave range to identify the fault location in a voltage source converter based high voltage direct current (VSC-HVDC) system containing mixed cable and overhead line segments. It uses variational mode decomposition (VMD) and the Teager energy operator (TEO) as a new method to detect the traveling wave fault through a fault signal. The effectiveness of the proposed method is verified via time domain simulation of the hybrid VSC-HVDC transmission system using PSCAD/EMTDC and MATLAB software. Simulation results show that the proposed method demonstrates high fault location accuracy and excellent robustness with a slight effect on transient resistance and fault types, and that it performs better than the existing transient detection techniques, such as wavelet transform and ensemble empirical mode decomposition.

Keywords: traveling wave method; fault location; variational mode decomposition (VMD); Teager energy operator (TEO); VSC-HVDC system; PSCAD/EMTDC; MATLAB (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
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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