Résumé:
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.
