Title: Location for high impedance fault and polluted insulator in transmission line-based non-linear frequency analysis
Authors: Minyou Chen; Jinqian Zhai; Ziqiang Lang; Jucheng Liao; Gang Hu
Addresses: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China. ' State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China. ' Department of Automatic Control and Systems Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK. ' Chongqing Electric Power Company, Chongqing, 400040, China. ' State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China
Abstract: The efficiency of power systems is based mainly on the continuity of the service, avoiding faults that suppose economic losses for utilities and users. It is very important to detect, locate and eliminate the faults of power systems, especially on power transmission lines. This paper presents a new method based on non-linear frequency analysis for online detection and location of the high impedance faults on power transmission lines, which has been one of the most difficult problems in power transmission and distribution systems. The proposed technique is based on the non-linear characteristics of the high impedance faults and severely contaminated insulators on power lines. The non-linear frequency responses related to the signal of power line carrier were used to detect the occurrence of the high impedance fault. The location of the fault and the degraded insulator on the power lines could be determined by detecting the position of the non-linear component in the power transmission system. The effectiveness of the method has been verified through simulation studies. The results demonstrated that the proposed method has the potential to be applied in practice to resolve high impedance fault real time monitoring problem.
Keywords: high impedance faults; polluted insulators; nonlinear frequency analysis; power systems; power transmission lines; fault monitoring; real time monitoring; fault detection; fault location.
International Journal of Computer Applications in Technology, 2012 Vol.43 No.1, pp.51 - 59
Published online: 13 Mar 2012 *Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article