Analyse technico-économique des solutions d’intégration des énergies renouvelables intermittentes dans le réseau de distribution

Abstract

This thesis presents three essential contributions related to the development of renewable energies and their integration into the distribution network. The first contribution deals with the reconfiguration of the IEEE 33-BUS network and the optimization of the location and sizing of photovoltaic generators and FACTS devices (D-STATCOM) using the Shark Smell Optimization (SSO) algorithm, which allows for the improvement of the electrical network's performance. The second contribution focuses on an experimental study of the impact of the pitch angle of wind turbine blades on the extracted power in order to preserve the generator and ensure stable production, while the third contribution involves the economic evaluation and development of a sustainable distributed electrical network model in the Setif province, optimized by the Particle Swarm Optimization (PSO) algorithm, and determines the most efficient reconfiguration in terms of energy cost, net present cost, and reliability. The results demonstrate that precise planning of these installations improves efficiency, reduces losses, and ensures environmentally friendly production.