Abstract

The energy sector is facing the challenge of meeting increasing demands for electricity in a safe and eco-friendly way. Governments worldwide are investing in renewable energy systems and smart grids, such as wind turbines and solar photovoltaic systems, to overcome the limitations of traditional power grids and diversify energy sources. To improve the reliability, security, and cost-effectiveness of renewable energy systems within a smart grid framework, innovative methods for fault detection, diagnosis, and fault-tolerant control, as well as intrusion detection, diagnosis, and attack-resilient control systems, are required. The thesis research is divided into two parts. The first part investigates a hybrid renewable microgrid composed of various distributed generation systems, such as solar, wind, and battery. The research proposes innovative solutions for detecting and identifying physical faults and cyber-attacks, and offers fault-tolerant and attack-resilient control strategies for photovoltaic systems within the microgrid. The second part of the research focuses on wind farms, where an intrusion detection and fault diagnosis system is proposed, along with cooperative fault-tolerant and attack-resilient control strategies to effectively mitigate the adverse impacts of physical faults and cyber-attacks. The research ultimately aims to enhance the reliability, security, and cost-effectiveness of renewable energy systems within a smart grid framework. The main objective of the research is to develop novel cyber-physical condition monitoring, diagnosis, and fault-tolerant and attack-resilient control strategies for renewable energy resources, including smart microgrids and wind farms, to ensure efficient and reliable performance under physical faults and cyber-attacks. The proposed solutions and strategies in this research are verified through a series of simulations on advanced microgrid and wind farm benchmark models, considering their real-life nonlinear nature and possible measurement noises, disturbances, and various realistic fault and attack scenarios. Ultimately, the research aims to contribute to the advancement of renewable energy systems within a smart grid framework towards a sustainable and secure energy future.