BSA/WDO based optimization of two-area multi-sources automatic generation control

Abstract

This paper presents comparative performance analysis of Automatic generation control with two recently developed meta-heuristic nature inspired algorithms called Backtracking search algorithm/Wind driven optimization algorithm. An attempt has been made to show the superiority of Wind driven optimization algorithm over Backtracking search algorithm to improve the transient performance of automatic generation control of an interconnected two-area multi-source power system with physical constraints governor dead band, generation rate constraints, reheat system. Comparative studies of BSA and WDO with PI/PID controller reveals that WDO based PID controller in both the areas improve the transient performance to a greater extent following small load perturbation(s).

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