Demand management is a form of ‘virtual storage’. Shifting a large load from one time to a later time has the same effect on an electricity network as using a large battery to store excess power and deliver that power at a later time.
FLEXIBLE DEMAND AS A VIRTUAL ENERGY STORAGE SYSTEM
The goal of this subtheme is to develop a cost-effective way to use a virtual energy storage system (i.e. grid loads with flexible demand) that is as reliable and responsive as a large fleet of batteries, based on five objectives:
develop models for a virtual energy storage system via local intelligence, which can ensure customers’ comfort constraints, while simultaneously providing reliable service to the grid;
estimate real-time virtual energy storage system capacity as a function of customer comfort constraints;
reveal cost and customer comfort trade-off curves for creation of market incentives for consumer engagement;
propose local robust control at each virtual energy storage system as part of an overall distributed control architecture; and
build prototype hardware for validation.
PROF JIE BAO
Professor Jie Bao is a Process Control expert, particularly in dissipativity/passivity based process control. He leads the Process Control Research Group, School of Chemical Engineering.