Improving the Performance of Distance Relay Protection in Power System Using Ann Intelligent Control Schemes

Abstract

This work is centered on improving the performance of distance relay protection in power system using ANN intelligent control schemes. ANN intelligent control scheme is being utilized to make the performance of the distance relay better. The gap in time between when a fault occurs and when the relay sends a trip signal to the breakers for necessary action (tripping) is very critical in the performance of a power system protection network. This is true considering that the length of time a fault persists on the line without necessary action determines the extent of damage and outage a fault can have on the network and consumers. This thesis presents a model for improving the response time/reaction time of distance relays in the power system transmission lines. The Artificial Neural Network (ANN) technique was deployed to improve the response time of the relay under study. To minimize the error of the ANN system, the data collected on the conventional relay of the transmission line under study was augmented by additional data generated from the computer program. The Ikeja West-Ijora 330kv transmission line under consideration and theANN system were modelled in Simulink MATLAB using the appropriate tools boxes. The result obtained from the relay response time simulation showed that ANN relay recorded 8.78% improvement in relay response time when compared with the performance of the conventional relay. It can be concluded that the developed ANN based relay gave an improved response time when compared with the conventional distance relay. This work is centered on improving the performance of distance relay protection in power system using ANN intelligent control schemes. ANN intelligent control scheme is being utilized to make the performance of the distance relay better. The gap in time between when a fault occurs and when the relay sends a trip signal to the breakers for necessary action (tripping) is very critical in the performance of a power system protection network. This is true considering that the length of time a fault persists on the line without necessary action determines the extent of damage and outage a fault can have on the network and consumers. This thesis presents a model for improving the response time/reaction time of distance relays in the power system transmission lines. The Artificial Neural Network (ANN) technique was deployed to improve the response time of the relay under study. To minimize the error of the ANN system, the data collected on the conventional relay of the transmission line under study was augmented by additional data generated from the computer program. The Ikeja West-Ijora 330kv transmission line under consideration and theANN system were modelled in Simulink MATLAB using the appropriate tools boxes. The result obtained from the relay response time simulation showed that ANN relay recorded 8.78% improvement in relay response time when compared with the performance of the conventional relay. It can be concluded that the developed ANN based relay gave an improved response time when compared with the conventional distance relay.