Research Article
Towards an Energy Internet: A Game-Theoretic Approach to Price-Directed Energy Utilization
@INPROCEEDINGS{10.1007/978-3-642-19322-4_1, author={Miltiadis Alamaniotis and Rong Gao and Lefteri Tsoukalas}, title={Towards an Energy Internet: A Game-Theoretic Approach to Price-Directed Energy Utilization}, proceedings={Energy-Efficient Computing and Networking. First International Conference, E-Energy 2010, Athens, Greece, October 14-15, 2010, Revised Selected Papers}, proceedings_a={E-ENERGY}, year={2012}, month={10}, keywords={Energy Internet intelligent meters energy anticipation decision-making}, doi={10.1007/978-3-642-19322-4_1} }- Miltiadis Alamaniotis
Rong Gao
Lefteri Tsoukalas
Year: 2012
Towards an Energy Internet: A Game-Theoretic Approach to Price-Directed Energy Utilization
E-ENERGY
Springer
DOI: 10.1007/978-3-642-19322-4_1
Abstract
The growing interest towards internet-inspired research for power transmission and distribution invariably encounters the barrier of energy storage. Limitations of energy storage can be offset, to a degree, by reliable forecasting of granular demand leading to judicious scheduling involved and incentivized by appropriate pricing signals. The anticipation of energy demand and future system state is of great benefit in scheduling capacities offsetting storage limitations. In this paper, a game is formulated that shows the effect of the synergy between anticipation and price elasticity to achieve lower Peak-to-Average Ratios and minimize waste of energy. The results demonstrate that the final demand signal can be smoother and energy efficiency increased.
