Host Faculty: Professor Dariusz Czarkowski
Demand response refers to techniques that manage end-users' electricity consumption in order to help the power system operate in a more cost-efficient and reliable way. It is becoming more important with increasing renewable and distributed energy resources incorporated into the system. Our proposed demand response framework, namely Adaptive Load Management, provides a comprehensive structure for demand response by formulating the complex power system objective as many sub-problems of diverse supply and demand entities in the system over multiple time horizons. In this talk, I will focus on the short-term scheduling of supply and demand resources, with an emphasis on managing flexible demand resources of small end-users. The difficulty of this problem comes from the uncertainty of loads and supply, limitations on communication and information exchange among a large number of supply and demand entities, and modeling different values of electric energy seen by diverse end-users/loads. I will address how we tackle these issues, and present simulation results that demonstrate how our methodology works.
Jhi-Young Joo is a Ph.D. candidate in the Department of Electrical and Computer Engineering at Carnegie Mellon University. She received her B. Eng. and M. Eng. Degrees from the School of Electrical and Computer Engineering at Seoul National University, Korea in 2005 and 2007, respectively. She co-founded Carnegie Mellon Electric Energy Club in 2009 and served as the treasurer and the vice president in the following two years. Her research interests include modeling and optimization of power systems and energy markets.