An automated energy management system in a smart grid context
Author(s)
Lopes, M.; Antunes, C. H.; Soares, A. R.; Carreiro, A.; Rodrigues, F.; Neves, L.; Jorge, H.; Gomes, A.; Martins, A. G.; Dias, L.; Pereirinha, P.; Trovao, J. P.; Monica, A.; Oliveira, M.; Breda, S. J.; Viegas, R.; Peixoto, P.; Livengood, Daniel James; Larson, Richard Charles; Leow, Woei Ling; ... Show more Show less
Download06227983.pdf (116.5Kb)
OPEN_ACCESS_POLICY
Open Access Policy
Creative Commons Attribution-Noncommercial-Share Alike
Terms of use
Metadata
Show full item recordAbstract
The ongoing transformation of electric grids into smart grids provides the technological basis to implement demand-sensitive pricing strategies aimed at using the electric power infrastructure more efficiently. These strategies, also designated by demand response [1], already proved to be effective in altering patterns of electricity usage [2-6], and create benefits not only for end users (by lowering their electricity bill without degrading comfort levels), but also for the utilities (by managing the peak, flattening the aggregate demand curve, and meeting supply with demand) and the environment (by avoiding, or delaying, building new generation units and other network infrastructures). In fact, demand-sensitive pricing of electricity is expected to become the standard pricing mechanism in smart grids [3, 7, 8] and is considered essential to accelerate the deployment of variable renewable generation while maintaining electric system security and reliability at least cost [9].
Date issued
2012-05Department
Massachusetts Institute of Technology. Engineering Systems DivisionJournal
Proceedings of the 2012 IEEE International Symposium on Sustainable Systems and Technology (ISSST)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Lopes, M., C. H. Antunes, A. R. Soares, A. Carreiro, F. Rodrigues, D. Livengood, L. Neves, et al. “An automated energy management system in a smart grid context.” In 2012 IEEE International Symposium on Sustainable Systems and Technology (ISSST), 1-1. Institute of Electrical and Electronics Engineers, 2012.
Version: Author's final manuscript
ISBN
978-1-4673-2004-7
978-1-4673-2003-0
978-1-4673-2002-3