Title: A Dynamic-Programming Approach to Assessing the Reliability Contribution of Energy Storage to Electricity Systems

Abstract: Energy storage is being viewed increasingly as a resource that can contribute to power-system reliability and resource adequacy. However, most markets and system planners employ ad hoc approaches to ascribing capacity value to energy storage. This talk presents a dynamic-programming-based approach to conduct these assessments for energy storage. Illustrative case studies show how market-design choices impact the use and operation of energy storage and its reliability contribution.

Bio: Ramteen Sioshansi is a professor in Department of Integrated Systems Engineering and Department of Electrical and Computer Engineering, an associate fellow in Center for Automotive Research, and the founding director of the EmPOWERment National Science Foundation (NSF) Research Traineeship (NRT) program at The Ohio State University. His research focuses on the techno-economics of decarbonizing energy systems. He works also in energy policy and electricity-market design, especially as they pertain to energy decarbonization. He is an IEEE Fellow and served three two-year terms on Electricity Advisory Committee, a federal advisory committee to the U.S. Energy Secretary, and chaired its Energy Storage (Technologies) Subcommittee.