Title: Six phase transmission line protection against open conductor, phase to ground and simultaneous faults using fuzzy inference system

Authors: A. Naresh Kumar; C. Sanjay; M. Chakravarthy

Addresses: Department of Electrical and Electronics Engineering, Institute of Aeronautical Engineering, Hyderabad, 500043, Telangana, India ' Department of Mechanical Engineering, GITAM University, Hyderabad, 500031, Telangana, India ' Department of Electrical and Electronics Engineering, Vasavi College of Engineering, Hyderabad, 502329, Telangana, India

Abstract: Conventional techniques fail to handle classification and location of simultaneous phase to ground and open conductor faults. In this regard, a novel classification and location strategy based on fuzzy logic is proposed in this paper. The main contribution of fuzzy strategy is to improve six phase transmission line (SPTL) under phase to ground and open conductor fault protection schemes. Moreover, fuzzy strategy identifies and locates simultaneous occurrence of open conductor and phase to ground faults. MATLAB software is used to simulate the SPTL. The measured instantaneous values of current in each phase at one end of SPTL are processed by low pass Butterworth filter, sampler and discrete Fourier transform. The obtained fundamental component of currents is selected as input to the proposed classification and location strategy. An advanced soft computing toolbox i.e., fuzzy toolbox, is used to implement fuzzy inference systems. From the simulation test results, the fuzzy strategies not only classify faults correctly, but also predict the location of faults precisely. The effectiveness and feasibility of fuzzy strategy is validated by the obtained test results considering the effect of variation in different fault parameters such as fault type, fault resistance, fault location and fault inception angle.

Keywords: six phase transmission line; SPTL; fuzzy interface system; phase to ground faults; open conductor faults; simultaneous faults.

DOI: 10.1504/IJCISTUDIES.2019.102626

International Journal of Computational Intelligence Studies, 2019 Vol.8 No.3, pp.245 - 267

Received: 10 Jan 2019
Accepted: 23 Mar 2019
Published online: 30 Sep 2019 *

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