Strategies and mechanisms for competitive cooperation in Smart Grids applications

18^th October 2016, 13:00 Ashton Lecture Theater
Dr Michael Kaisers
Centrum Wiskunde & Informatica, Amsterdam
Intelligent Systems Group
Room M 3.59
Science Park 123
1098 XG Amsterdam

Abstract

Trading and negotiations are cooperative in the sense that value is only created if an agreement is reached, but competitive in how this value is shared between the parties. Doing well in such interactions requires a best response to an uncertain and dynamic environment. We address this need by designing algorithms that exploit a priori information and learn from experience. In addition, we propose alternative interaction mechanisms with more efficient outcomes. Specifically, our work aims to alleviate the challenges arising in the transition towards fluctuating renewable energy generation (esp. solar/wind) by efficiently balancing future Smart Grids. This presentation gives an overview over the associated research challenges with illustrations of progress from recent works.