Fault detection and location of power transmission lines using intelligent distance relay

Abstract

<jats:p>The aim of this paper is to design a three-phase distance relay using an adaptive neuro-fuzzy inference system algorithm (ANFIS). The proposed relay is used to protect the power transmission lines where they are subjected to faults continuously. These faults may produce a high electric current which leads to high damage in power system equipment. The relay is used to detect the transmission line faults by measuring the voltage and current values for each phase. The line impedance is then calculated to detect the faults and issue instantaneous trip signal to circuit breaker, to separate the fault zone of the transmission line without affecting the work of other relays. To isolate the faulty line without affecting the other lines within the network the relays were trained using adaptive neuro-fuzzy inference system (ANFIS). The obtained results through this work show that the designated distance relay with (ANFIS) algorithm has the ability to detect the faults occurrence, recognize it from the cases of the disturbance and to isolate only the fault zone without affecting the work of other relays in system.</jats:p>

A simple faulted phase-based fault distance estimation algorithm for a loop distribution system

“…The time delay between zero mode current and aerial mode currents of Park's transformation is shown in (2). The time delay between zero mode current and modal difference currents is shown in (3) and the time delay between the zero mode and aerial mode currents of the Karenbauer's transformation in (4).…”

“…Some researchers utilized impedance-based algorithms with the help of system fault signals [1], [2]. Next, the knowledge-based method has been used to detect the fault location using neural networks, decision trees and support vector machine techniques [3]- [7].…”

Normal operation and reverse action of on-load tap changing transformer with its effect on voltage stability

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