University of Waterloo
Date: Friday, February 3, 2017 at 1 pm.
Location: DC 1331
Title: Intelligent Control of Storage and Flexible Loads in Renewable-Integrated Electrical Grids
Abstract: With growing concerns about environment, economy, sustainability, and security, more and more renewable energy resources are expected to be integrated into future electrical grids. However, large-scale integration of intermittent renewables such as wind and solar creates noticeable imbalance between supply and demand, hence jeopardizing grid reliability. To combat the variability of renewable generation, energy storage (e.g., batteries, pumped hydro storage, and compressed air energy storage) and flexible loads (e.g., heating, ventilation, and air conditioning) are suggested to be applied in many grid-wide services.In this talk, I will present my work on intelligent control of storage and flexible loads in renewable-integrated electrical grids. First, I introduce an aggregator-storage system that provides service of power balancing to a grid. Both static and dynamic storage (e.g., storage inside electric vehicles) are considered with a wide range of storage characteristics being explicitly modeled. Second, with the integration of lots of single-phase loads and renewable generators, phase balancing becomes more challenging. For a substation to maintain phase balance, I suggest intelligent control of storage charging and discharging to balance energy flows. Third, with the inclusion of flexible load scheduling in energy management, I propose a joint optimization of supply, demand, and storage for power balancing in a grid. To improve long-term system performance (e.g., reliability, welfare, and cost effectiveness), in each case I offer efficient centralized algorithms with strong theoretical performance guarantee, and distributed implementation with limited requirement of information exchange.
Bio: Dr. Sun Sun is a research associate in Electrical and Computer Engineering (ECE), University of Waterloo. She received her Ph.D. from University of Toronto in 2016, and her M.Sc. from University of Alberta in 2011, both in ECE. She is generally interested in stochastic optimization, distributed control, online learning, and data analysis.
Her current research focuses on improving efficiency of modern power systems, especially when there is high penetration of renewables (e.g., wind and solar). Her research topic spans a wide range including power system modeling, power flow control, energy storage, demand response, and data analysis of smart meters.