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Résumé :
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The rapid increase in electricity demand over recent years has posed significant challenges for energy management and increased pressure on the modern power grids. A solution to these issues is the integration of renewable energy sources, particularly wind power, to address fossil fuel depletion and reduce greenhouse gas emissions from conventional power plants. In line with the objectives of Algeria's national program for the integration of renewable energies, which aims to install 5,010 MW of wind power, optimal management of electrical energy in the presence of wind farms is essential to improve the performance of the DZ-114 bus transmission grid. Although wind farms offer economic and environmental benefits, their integration into the grid introduces complexities in solving the optimal power flow (OPF) problem, particularly due to uncertainties associated with operational constraints. In fact, traditional methods for solving OPF are not suitable for dealing with this type of problem, which requires the use of meta-heuristic techniques.This thesis proposes an innovative method for solving the OPF problem: the Henry Gas Solubility Optimisation (HGSO) algorithm, inspired by the physical laws of gas solubility.The OPF problem is solved in two cases, with and without wind farm integration into the electricity grid.This resolution is based on a technical and economic study to determine the best unit cost of wind energy production(UCE) within the Algerian electricity grid. The best UCE values were determined in the Highlands (Djelfa, El Bayadh, Sétif), which are implemented in the OPF problems considering the integration of wind energy.The effectiveness of the HGSO method wasevaluated for sixteen OPF solution cases, aiming to minimize the total cost of electricity production, total active losses, emissions, voltage deviation, and improve the voltage stability index. Theoptimisationcases were conductedon three electrical test networks: the IEEE 30-bus, IEEE 57-bus, and the Algerian transmission network DZ114-bus, with and without wind farm integration.Simulation results in the MATLAB environment confirm the performance of this technique (HGSO), which surpasses other well-known meta-heuristic methods in terms of robustness and efficiency for solving the OPF problem.
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