Contribution à l’optimisation de l’insertion des énergies renouvelables dans un réseau électrique intelligent (Smart Grid)

Abstract

Generally, the direct integration of renewable energy sources into existing power grids can create new challenges, mainly due to the variability and uncertainty of these energy sources. For this purpose, the introduction of the smart grid has addressed these challenges by enabling the economic integration of this type of energy, The work done in this thesis focuses mainly on the representation of the output power of the renewable energy source which is a wind source using the "Weibull" approach, which allows the representation of a random variable as a Probabilty distribution function (PDF), which allows the variable energy of the wind source to be represented under a non-linear Weibull function or PDF, and then inserted into an intelligent simulation program, simulating the strategy of the gray wolves during the hunting of their victim in the wild, this meta-heuristic optimization method is called optimization by the algorithm of the gray wolves "in English Gray Wolf Optimizer (GWO)". This is done by writing the overall objective function which contains both the cost function of conventional sources plus stochastic wind power, which leads to having the cost of the economic reserve needed to cover energy production, which it is either surplus or deficit, responding to any change in wind production and consequently its optimal integration. The simulations were performed under the Matlab environment on the standard test networks of 30, 57 and 59 buses.