Abstract
In summary, this thesis reports on the research in the field of Smart Energy Management for a distributed grid with our own approach to maximize the use of demand management to address not just local but grid wide issues on balancing the system to make it a more reliable and stable grid. It will allow more renewables, micro-grids to be connected without compromising grid stability, while addressing balance of system issues and avoiding the use of under-frequency load shedding needed to avoid a cascading system blackout due to sudden generation loss. The work consists of 4 topics: - Building a EMS control algorithm to manage a micro-grid that consist of using different load and battery modeling to maximize the system efficiency between energy costs, quality of supply and different distributed battery storage with integrated PV in a microgrid. - Developing a reliability index to manage micro-grids to ensure they achieve a reasonable quality of supply (QoS) on their own, setting a foundation to allow a reliable partner for interconnections with the main grid. - In this part of the work, the research will develop a demand management framework to support a distributed grid with end user participations via voluntary interruptible loads (IL) participation as smart homes, which are evolving into a micro-grid on this own, always inter-connected to a grid, will play a role in the balance of systems. - The last but not least, is to enhance the same demand management strategy by developing a high speed demand management capability at the homes by using a smart distribution box (SmartDB) with Non-Intrusive Load Monitoring (NILM) system for home appliance identification. Together with the use of smart sockets with built in relays and Home Energy Storage System (HESS), an approach to substantially support the balance of systems from a distributed grid.