Dispatching economique dans un système de puissance electrique par l'intelligence artificielle

Abstract

The economic dispatch problem is the determination of electric generation levels,in order to minimize the total generation cost for a defined level of load. It’s a kind of management for electrical energy in the power system in way to operate their generators as economically as possible. Indeed the main aim of the economic dispatch studies is including all variables having effect on minimization of cost, such as the electrical network topology, type of fuel, load capacity and transmission line losses. This thesis presents the economic dispatch studies for electrical power systems using two approaches. In the first approach a classical method is used which is the gradient method, whereas, in the second one a method that belongs to the field of artificial intelligence, which is the neural networks method, is used. In both cases system constraints like line losses and generators limits are included. Furthermore, a comparison between the results using the above mentioned methods is carried out at the end of this thesis.