Abstract
This paper presents a particle swarm optimization (PSO) technique for solving hydrothermal problem by considering demand constraint, thermal generator constraint, reservoir capacity constraint, hydrogenerator constraint and water discharge constraint. The possibility examination of the proposed method is exhibited on one hydro-plant and a steam plant by utilizing MATLAB. The comparison of the simulation results shows that PSO has a better performance than the other programs like gravitational search algorithm, genetic algorithm, classical evolutionary programming, simulated annealing approach and fast evolutionary programming.