Speaker: Jian Li Texas A&M University
Time: 2015-05-15 10:30-2015-05-15 11:30
Venue: FIT 1-312
Abstract:We consider the problem of a Load Serving Entity (LSE) trying to reduce its exposure to electricity market volatility by incentivizing demand response in a Smart Grid setting. We focus on the day-ahead electricity market, wherein the LSE has a good estimate of the statistics of the wholesale price of electricity at different hours in the next day, and wishes its customers to move a part of their power consumption to times of low mean and variance in price. Based on the time of usage, the LSE awards a differential number of “Energy Coupons” to each customer in proportion to the customer’s electricity usage at that time. A lottery is held periodically in which the coupons held by all the customers are used as lottery tickets.
Jian Li is a Ph.D student in the department of Electrical and Computer Engineering at Texas A&M University. He received a B.E. in Electronic Engineering from Shanghai Jiao Tong University in June, 2012. His research interests include model and analysis of communication networks and social networks, network economics, game theory, queueing games, optimization and algorithms.