Abstract
This paper deals with the application of various evolutionary optimization techniques for designing the gain of integral controller in a multi area hydrothermal system under deregulation. The various techniques which have been used are Simulated Annealing (SA), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). A two area hydrothermal system in the presence of Static Synchronous Series Compensator (SSSC) and Capacitive Energy Storage (CES) under deregulation is considered to exemplify the optimum parameter search. The integral of square of error (performance) index is considered in the search of optimal Automatic Generation Control (AGC) parameters. The results presented in this paper demonstrate the superior working of PSO over others in the tuning of AGC.
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