Context
The increasing complexity of microgrids, characterised by integrating renewable energy sources, energy storage systems, and the dynamic demands of modern loads such as electric vehicles, presents new challenges such as guaranteeing stability, ensuring robustness, maintaining power quality, managing the intermittent nature of renewable sources, and ensuring efficient energy distribution within the electrical network system. Furthermore, the interaction between AC and DC microgrids with distinct characteristics and control requirements adds another layer of complexity. Advancements in control strategies and modelling techniques are thus essential to address all these.
The proposed PhD thesis aims to tackle these challenges by developing advanced microgrid modelling and control methods. The research will focus on enhancing stability and system efficiency and facilitating the integration of renewable energy sources in microgrids, contributing to the overarching goal of sustainable and resilient energy systems.
Research Methodology
The research methodology encompasses (but is not restricted/ limited to) a multifaceted approach to enhance microgrids' performance and develop theoretical guarantees. This might include the application of nonlinear control techniques, linear matrix tools, network systems strategies, etc, to address challenges in decoupling dynamics, time-scale separation, or scalability within microgrid networks, for instance. The research work could also focus on the development and advancement of control techniques ranging from primary to higher control levels (a bottom-up approach).
Candidate Profile
The ideal candidate for this PhD project should possess a master's degree (or equivalent) in engineering (control systems, power electronics, power systems, etc) with a strong mathematical background. They must have excellent English writing and speaking skills, enabling them to communicate complex ideas effectively. The candidate should be proficient in using software tools like MATLAB/Simulink for modelling, simulation, and testing. They should also have an aptitude for innovative problem-solving and a passion for contributing to sustainable energy solutions.
More details on the project and application process can be found here.
