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A nonlinear frequency analysis based approach for power cable insulation fault detection

Min‐You Chen (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing, China)
and
Jin‐qian Zhai (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing, China)
Z.Q. Lang (Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK)
Feng Sun (Electric Power Dispatching Center of Changde Power Bureau, Hunan Province, China)
Gang Hu (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing, China)

Abstract

Purpose

The present study is concerned with the application of a nonlinear frequency analysis approach to the detection and location of water tree degradation of power cable XLPE insulation without turning off electric power.

Design/methodology/approach

The use of power cable system responses to power line carrier signals are proposed to conduct the required signal analysis for damage location purpose. This technique is based on the fact that the water tree degradation in power cables can make the system behave nonlinearly. Consequently, the location of water tree degradation can be determined by detecting the position of nonlinear components in power cable systems.

Findings

A novel method has been proposed for locating water tree degradation in power cable systems; numerical simulation studies have demonstrated the effectiveness of the new technique.

Originality/value

The proposed technique has the potential to be applied in practice to more effectively resolve the power cable damage location problem.

Keywords

Citation

Chen, M., Zhai, J., Lang, Z.Q., Sun, F. and Hu, G. (2012), "A nonlinear frequency analysis based approach for power cable insulation fault detection", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 31 No. 2, pp. 369-386. https://doi.org/10.1108/03321641211200482

Publisher

:

Emerald Group Publishing Limited

Copyright © 2012, Emerald Group Publishing Limited

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