Intelligent Energy Systems
Developing intelligent algorithms and methodologies that support the efficient and robust operation of the smart-grid at the interface between energy systems, control and ICT.
Interim Strand Lead: Prof Seán McLoone
The Intelligent Energy Systems research strand is addressing research questions on the interface between Energy Systems, control and information systems. Smart metering technologies and home area networks offer the possibility of using demand side management (DSM) of discretionary loads such as EVs and electric heating to achieve effective control and optimisation of the power grid. Opportunities include, for example, shaping the daily demand profile, providing system ancillary services and accommodating greater penetration of distributed, renewable generation. SEES is investigating the utility and potential impact of intelligent systems techniques with regard to addressing the challenges of coordinating the efficient operation of such systems, while guaranteeing overall power system stability and security. These challenges include scalability issues, both in terms of computation and communication infrastructure requirements and robustness to communication and other system faults. In this context, the main thrust of our research is on the development and assessment of decentralised control algorithms for DSM and system level models and identification techniques for smart-grid applications.