Multi-period optimal energy procurement and demand response in smart grid with uncertain supply

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Abstract

We propose a simple model that integrates two-period electricity markets, uncertainty in renewable generation, and real-time dynamic demand response. A load-serving entity decides its day-ahead procurement to optimize expected social welfare a day before energy delivery. At delivery time when renewable generation is realized, it sets prices to manage demand and purchase additional power on the real-time market, if necessary, to balance supply and demand. We derive the optimal day-ahead decision, propose real-time demand response algorithm, and study the effect of volume and variability of renewable generation on the social welfare. © 2011 IEEE.

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Jiang, L., & Low, S. (2011). Multi-period optimal energy procurement and demand response in smart grid with uncertain supply. In Proceedings of the IEEE Conference on Decision and Control (pp. 4348–4353). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/CDC.2011.6161320

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