January 14, 2013, ESB 2001

A control problem of power network systems including renewable energy generators is one of the hottest issues in the world. This talk deals with a game theoretic real-time pricing method based on dual decomposition and its application to load frequency control of electrical power networks. The goal of this real-time pricing methodology is to solve the constrained optimization problem consist of each players' utility and social welfare under selfish players. We can show that selfish players' decision can be expressed via a kind of a Nash equilibrium solution considering their own cost functions and it can lead selfish players' decision to social welfare maximization. Finally the proposed method is applied to a load frequency control problem of power networks and the effectiveness can be shown via some numerical simulation results.

Toru Namerikawa received the B.E., M.E and Ph. D of Engineering degrees in Electrical and Computer Engineering from Kanazawa University, Japan, in 1991, 1993 and 1997, respectively. He is currently an Associate Professor at Department of System Design Engineering, Keio University, Yokohama, Japan. He 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. His main research interests are robust control, distributed and cooperative control and their application to power network systems.