A New Adaptive Technique for Enhancement of Zone-2 Settings of Distance Relay

Abstract

This paper presents a technique that increases the second-zone coverage of distance relays without causing overreach problems. The technique is based on the impedance seen by distance relays when faults are simulated on the reach of zone-1 relays. The approach checks the relay operation for the maximum as well as the minimum generation outputs of the power system. The proposed technique can be used for different reach setting for zone-1. Results show that it is possible to increase the coverage provided by zone-2 distance relays without causing coordination problems with the primary relays that protect the lines emanating from the remote bus. The proposed method is modified for use in an adaptive protection system. It is shown that further improvements can be achieved when settings are calculated using the proposed method and the prevailing system conditions. The proposed method and its adaptive version were applied to a part of the Power system. The simulation of the system is done by using PSCAD-EMTDC software. The simulated results are observed and compared with the conventional and proposed technique

A security enabled real time fault detection and classification of power system conditions

“…Mallikarjuna et al proposed multi-phasor measurement units (MPMU) based adaptive supervised wide-area backup protection (ASWABP) scheme that can work adequately during faults besides the contingencies of the power system [11]. Jin and Sidhu [12] Avinash et al [13] Azari [14] Dubey et al [15] Khodaparast and Khederzadeh [16]. Sharafi et al [17] proposed approaches to enhance the performance of the relay during the system stressed conditions.…”

“…But the models were tested with the different test sample collected during the time duration 1 to 1.5s (for load increase by 500 MW at 4th bus at 1s). This was nothing but a power swing condition (in the neighbouring line [4][5][6][7][8][9][10][11][12][13][14]. Offline techniques may fail to predict the condition because it was not trained for that pattern.…”