Contribution to the modelling and control of an AC micro grid integrating decentralised renewable energy

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 develo-ping 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 review of MG control architectures and operational modes, highlighting hierarchical control and fre-quency 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 effec-tive frequency stability . The thesis introduces advanced approaches such as fuzzy logic and neural network-based adaptive control of virtual inertia and damping, enabling adjustments and robust performance in RES-dense environments.