A novel single-ended fault location scheme for parallel transmission lines using k-nearest neighbor algorithm. (July 2018)

• Record Type: Journal Article
• Authors: Swetapadma, Aleena; Yadav, Anamika
• Is Part Of: Computers & electrical engineering. Volume 69(2018)
• Page Start: 41
• Page End: 53
• Publication Date: 2018-07
• Subjects: Discrete Fourier transform -- Fault location -- K-nearest neighbor algorithm -- Parallel transmission lines; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2018.05.024
• Languages: English
• ISSNs: 0045-7906

Abstract

Abstract: This paper proposes k-nearest neighbour (k-NN)-based method for fault location estimation of all types of fault in parallel lines using one-terminal measurement. Discrete Fourier Transform (DFT) is used for pre-processing the signals and then the standard deviation of one cycle of pre-fault and one cycle of post-fault samples are used as inputs to k-NN algorithm. The results obtained under various fault conditions demonstrate the high accuracy of the proposed scheme to estimate the fault location. The accuracy of the k-NN-based fault location scheme is not affected by alteration in fault type including inter-circuit faults, fault location, fault inception angle, fault resistance, and pre-fault load angle.