Contact: Jean-Yves Le Boudec
The massive use of renewable energy sources poses formidable challenges to match demand and supply. Today’s demand in non elastic, which forces providers and distributors to constantly adapt supply to the instantaneous demand. In the future, demand will become flexible, thanks to the presence of buffering (e.g. e-car batteries, warm water tanks for heating systems) or local generation. In this project, we want to study scalable, robust and distributed demand control methods, inspired by the traffic control methods successfully deployed in the Internet, and devise a communication protocol for demand response.
Recommended reading
- How internet concepts and technologies can help green and smarten the electrical grid, Srinivasan Keshav and Catherine Rosenberg, Sigcomm 2010, pdf
- Control and Optimization Meet the Smart Power Grid: Scheduling of Power Demands for Optimal Energy Management, Iordanis Koutsopoulos and Leandros Tassiulas, arxiv
- Efficient Algorithms for Renewable Energy Allocation to Delay Tolerant Consumers, Michael J. Neely, Arash Saber Tehrani, Alexandros G. Dimakis arxiv
- QoS Routing in Smart Grid, Husheng Li and Weiyi Zhang, arxiv
- Energy Routing on the Future Grid: A Stochastic Network Optimization Approach, Marjan Baghaie, Scott Moeller, Bhaskar Krishnamachari, pdf
- A Control Theorist’s Perspective on Dynamic Competitive Equilibria in Electricity Markets, Gui Wang, Anupama Kowli, Matias Negrete-Pincetic, Ehsan Shaeepoorfard, Sean Meyn, pdf
- Satisfiability of Elastic Demand in the Smart Grid, Jean-Yves Le Boudec and Dan-Cristian Tomozei, arxiv
Required Skills
Probability, Programming, Simulation