Intelligent Overcurrent and Distance Relays Coordination: A Comparative Analysis using GA, PSO and TLBO

Relay coordination is important for maintaining proper power system operation and control. Relays should be organized in a special way such that every relay should have a backup and coordination time interval (CTI) between primary and back up and different zones of the relays should be maintained. The relays should operate in minimum desirable time satisfying all the co-ordination constraints optimally. Heuristic techniques are frequently used to get optimal solution of this kind of problems. The problem is solved using Teaching Learning Based Optimization(TLBO). The results are compared with the results obtained by Genetic Algorithm(GA) and Particle Swarm Optimization(PSO) on a 6bus system. Selection of intelligent over current relay characteristics are incorporated to get the desired results in this work. The results obtained from TLBO are found better than the same obtained from GA and PSO.