Advanced energy management system for community microgrids with energy sharing capabilities

An end-to-end community microgrid emulation framework with advanced energy management algorithms; accurate demand and generation forecasting techniques; modelling and simulation of an energy market model capable of peer-to-peer energy sharing capabilities, along with hardware in the loop emulation system is presented in this thesis. Firstly, a robust and dynamic behavioural modelling tool was developed. Secondly, advanced generation and demand forecasting algorithms are used by energy management algorithms for the dynamic orchestration of flexible loads within the microgrids. Finally, a multi-agent-based game-theoretic energy management algorithm for collaborative energy management, enabling energy sharing and energy market transactions is presented.