Application of Heuristic Search Algorithm to Design Automatic Generation Control in Power System

Abstract

This paper presents a Heuristic Search Algorithm, Conventional Particle Swarm Optimization (CPSO) which is employed to design Automatic Generation Control (AGC) for an isolated power system to minimize the variation in frequency due to changes in load demand. Further, Advanced Particle Swarm Optimization (APSO) with a velocity update strategy is introduced to ensure that the particles will orbit toward their optimum point quickly which guarantees faster convergence.