Contribution à la modélisation et à la commande d’un micro-réseau AC; intégrant des sources d’énergies renouvelables décentralisées

Abstract

This dissertation addresses the challenge of maintaining stability in low-inertia power systems due to the increasing integration of renewable energy sources (RES). It focuses on developing advanced virtual inertia control (VIC) strategies to ensure the reliable and efficient operation of interconnected microgrids (MGs) under dynamic conditions. The study begins with a comprehensive review of MG control architectures and operational modes, highlighting hierarchical control and frequency regulation challenges caused by reduced physical inertia. A key contribution of this research is the development of frequency response models for both isolated and grid-connected MGs. These models provide critical insights into system behavior and serve as a foundation for designing effective frequency stability solutions. The thesis introduces advanced control approaches such as fuzzy logic and neural network-based adaptive control of virtual inertia and damping, enabling dynamic adjustments and robust performance in RES-dense environments.