Contribution à l’étude de dispatching économique de la puissance dans un réseau électrique

Abstract

The development of computer software has contributed to the innovation of power systems to become smart grids. This development is necessarily linked to several concerns: energetic, economic, etc. The introduction of techniques of artificial intelligence in software of control and decision is an essential element in research and development of tomorrow’s networks. Neural networks are among the techniques most used in the field of artificial intelligence. In the absence of the possibility of large-scale energy storage, it is essential to maintain at all times between production and consumption with minimization of the cost of production units, this process of optimal management is called economic dispatching. This problem is improving from year to year according to the development artificial intelligence algorithms. In this brief, we will study the economic dispatching with losses of a network (Under MATLAB) using genetic algorithms method with the coefficient Bmn (matrix) to improve convergence towards the optimal solution.