An automated energy management system in a smart grid context
Name
06227983.pdf
Size
116.58 KB
Format
Adobe PDF
Checksum (MD5)
d8406867e73cb1f336c639d745d37715
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.
Date Issued
May 2012
Journal
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
Abstract
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].
MIT Department
Massachusetts Institute of Technology. Engineering Systems Division
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ISSST.2012.6227983
