Speaker Prof. Toru Namerikawa
(Keio University)
Date｜Time July 26 (Friday), 2024｜14:00-15:00
Place Room 316-1, Building 133
Abstract
In the electricity network of the near future, not only electricity consumers but also power generators are expected to participate in electricity market transactions as selfish market players. Dynamic pricing is one of the useful tools to manage such networks in a distributed manner by changing electricity prices appropriately. In this talk, we show distributed price decision procedures regarding dynamic pricing to maximize social welfare in a power grid with information privacy of market players. Specifically, we first deal with the electricity market that covers multiple regional areas in a power grid, and propose a market trading algorithm to derive the optimal regional electricity prices based on the alternating decision-making among market players. Subsequently, the electricity market in one regional area where an aggregator participates in market trading as a mediator between the market operator and consumers is discussed. We propose a trading algorithm for this market to adjust consumers’ demand depending on their lifestyles in a day-ahead electricity market.
Biography
Toru Namerikawa received his B.E., M.E., and Ph.D. degrees in electrical and computer
engineering from Kanazawa University, Kanazawa, Japan, in 1991, 1993, and 1997, respectively. In 2009, he joined Keio University, Yokohama, Japan, where he is currently a Professor with the Department of System Design Engineering and a Director of the School of Integrated Design Engineering, Graduate School of Science and Technology.
He has held visiting positions at Swiss Federal Institute of Technology in Zurich in 1998, University of California, Santa Barbara in 2001, University of Stuttgart in 2008 and Lund University in 2010. He is serving as an associate editor for IEEE Trans. on Control Systems Technology and IEE Proc. Control Theory and Applications. His main research interests are distributed and cooperative control, game theory, and their application to cyber-physical systems including mobility, security, and power networks. He received the 2014 Pioneer Technology Award from SICE Control Division and the 2017 Outstanding Paper Award from SICE.
