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.
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© 2011 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Alamaniotis, M., Gao, R., Tsoukalas, L.H. (2011). Towards an Energy Internet: A Game-Theoretic Approach to Price-Directed Energy Utilization. In: Hatziargyriou, N., Dimeas, A., Tomtsi, T., Weidlich, A. (eds) Energy-Efficient Computing and Networking. E-Energy 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 54. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19322-4_1
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DOI: https://doi.org/10.1007/978-3-642-19322-4_1
Publisher Name: Springer, Berlin, Heidelberg
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