Power systems are undergoing a paradigm-shift change to incorporate renewable energy sources, energy storage, and electric vehicles. This is needed to ensure reliable energy supply under more unpredictable and varying generation conditions, and in a much more complex environment where potentially millions of self-interested (prosumer) households not only consume but also produce and store energy.
In this talk, I will give an overview of research underway at ANU and NICTA in developing AI and optimisation technologies to help achieving these changes and realise the tremendous opportunities offered by distributed energy technologies. I will focus on our work on residential demand response, whose purpose is to coordinate the actions of large number of prosumer households, rallying them to the task of supporting the network at the same time as optimising their own energy costs.
Sylvie Thiebaux is a professor at the Australian National University and a research leader at NICTA. Her interests include automated planning & scheduling, combinatorial optimisation & search, reasoning under uncertainty, and their applications to energy and transport.