Fuzzy Inference System Based Distance Estimation Approach for Multi Location and Transforming Phase to Ground Faults in Six Phase Transmission Line

Abstract

The faults occurring in different phases at multiple locations and different times are difficult to locate exact location using conventional techniques. This paper develops a fault location estimation approach using fuzzy inference system for multi location phase to ground faults and transforming phase to ground faults in six phase transmission (SPT) line. The six phase current data of SPT line are generated by MATLAB software and processed through butter worth filter, sampling and discrete fourier transform for distance locator. The proposed technique is dependent on single terminal data only. Mamdani fuzzy inference system is employed to make decision. Triangular membership functions are used to design input-output fuzzy sets. Fuzzy inference system has been deployed for the fault distance location using IF-THEN rules. The proposed technique is validated during different multi location and transforming phase to ground faults with wide variations in fault resistance and fault inception angle. Simulations and calculations with MATLAB prove that the fault location method is correct and accurate.

Fuzzy inference system-based solution to locate the cross-country faults in parallel transmission line

“…To get better accuracy in fault location, FIS methods are addressed in the literature. [19][20][21][22][23] Although many studies that describes the location of shunt faults on PTL, it remains a main challenge for cross-country faults. An easy solution to this problem is to employ a scheme which can be achieved by using FIS.…”

Support vector machine based fault section identification and fault classification scheme in six phase transmission line

“…In the past decade many researchers focused many methodologies for fault location in a SPTS. Researchers made a work on fuzzy method to get the faulty location [8], [9] for a SPTS. Further, a research work [10], [11] has been done ISSN: 2252-8938 with real-time validation for solving fault issues in SPTS by Sunil K et al Another scheme by Ebha et al [12], [13] implemented artificial neural network to predict the faults in SPTS.…”

A single-end directional relaying scheme for double-circuit transmission line using fuzzy expert system

“…The FES [29][30][31][32] has been used in Lab VIEW. The FES designing is used for protection of transmission lines [33][34][35], but these do not protected the DC3PT faults. Fault classification and location using FES in three-phase circuit lines are explained in [36].…”