Étude de la modification du transit de puissance lors du couplage des énergies renouvelables sur un réseau de distribution.
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The demand for electric energy has become increasingly enormous, while the rapid growth of electricity production has continued, particularly with regard to renewable energy sources (RES). Recorded RES distribution systems are becoming more important and should play a bigger role in the near future. Connecting RES facilities to distribution networks involves addressing several technical challenges for grid operators, who perceive renewable energies as a source of complications for the electricity system. Congestion is one of the most complicated issues that can arise when integrating renewable energy into the electrical system that cannot be left without treatment. For that, this work examines a corrective method of an overloaded electrical system in the presence of a wind farm integrated in a distribution network, taking into account the cost of congestion. Attempts were done in order to eliminate the overloads and monitor the power flow on the lines using as the first suggestion the UPFC universal power flow controller. The second proposed methodology is the ELM Extreme Learning Machine. This algorithm is extremely fast, having excellent performance in terms of generalization. The fundamental point of this successful study is the relief of congested structures. In addition, other objectives are achieved: improvement of the voltage profile, avoidance of load shedding, reduction of losses and congestion cost. The proposed congestion management methods were tested for an Algerian power system with 22 busbars at the city of Adrar. The results presented in this work were discussed and compared. These results show an improvement in the behavior of the electrical network.