ABSTRACT
This paper presents a comparative study of population based intelligent techniques to solve economic load dispatch. In real world economic dispatch problems possess highly non-convex objective function with solid equality and inequality constraints. In this paper optimal load dispatch problem is solved for three and six generator unit system using Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). For both cases, transmission losses are included. The feasibility of these techniques are analyzed on basis of accuracy (minimizing error), time elapsed and its rate of convergence. The consequences of PSO method is compared with GA and is found better. The comparison shows the superiority of PSO to the traditional GA. Results obtained from simulations also confirm its potential to handle power system optimization problem. All in all this paper is an effort to present a comparative study of solving load dispatch problems using intelligent techniques.
