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Journal cover: COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

ISSN: 0332-1649

Online from: 1982

Subject Area: Electrical & Electronic Engineering

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


Document Information:
Title:A nonlinear frequency analysis based approach for power cable insulation fault detection
Author(s):Min-You Chen, (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing, China), 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)
Citation:Min-You Chen, Jin-qian Zhai, Z.Q. Lang, Feng Sun, Gang Hu, (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 Iss: 2, pp.369 - 386
Keywords:Electricity, Nonlinear frequency analysis, Plants, Power cable, Power line carrier, Water tree degradation
Article type:Research paper
DOI:10.1108/03321641211200482 (Permanent URL)
Publisher:Emerald Group Publishing Limited
Acknowledgements:The authors gratefully acknowledge the support from National “111” Project (B08036) of China. ZQL would also like to thank the UK EPSRC and the grant (2007DA10512709402) from State Key Lab of Power Transmission Equipment & System Security and New Technology, Chongqing University for supporting this research study.
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.



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