The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Real-Time Demand Response Model
Abstract
This paper describes an optimization model to adjust the hourly load level of a given consumer in response to hourly electricity prices. The objective of the model is to maximize the utility of the consumer subject to a minimum daily energy-consumption level, maximum and minimum hourly load levels, and ramping limits on such load levels. Price uncertainty is modeled through robust optimization techniques. The model materializes into a simple linear programming algorithm that can be easily integrated in the Energy Management System of a household or a small business. A simple bidirectional communication device between the power supplier and the consumer enables the implementation of the proposed model. Numerical simulations illustrating the interest of the proposed model are provided.
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Citations
Cites
Kempton, W., & Tomić, J. (2005) · Journal of Power Sources · doi:10.1016/j.jpowsour.2004.12.022 · Cited by 2,126
The long-run efficiency of real-time electricity pricing
Borenstein, S. (2005) · The Energy Journal · doi:10.5547/issn0195-6574-ej-vol26-no3-5.bertsekas · Cited by 233
Cited by
Smart Grid — The New and Improved Power Grid: A Survey
Fang, X., Misra, S., Xue, G., & Yang, D. (2012) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2011.101911.00087 · Cited by 3,405
Sustainable Energy Transition for Renewable and Low Carbon Grid Electricity Generation and Supply
Kabeyi, M. J. B., & Olanrewaju, O. A. (2022) · Frontiers in Energy Research · doi:10.3389/fenrg.2021.743114 · Cited by 1,177
Distributed Robust Energy Management of a Multimicrogrid System in the Real-Time Energy Market
Liu, Y., Li, Y., Gooi, H. B., Jian, Y., Xin, H., Jiang, X., & Pan, J. (2019) · IEEE Transactions on Sustainable Energy · doi:10.1109/tste.2017.2779827 · Cited by 238
López, M. A., de la Torre, S., Martín, S., & Aguado, J. A. (2015) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2014.07.065 · Cited by 221
Zubo, R. H. A., Mokryani, G., Rajamani, H.-S., Aghaei, J., Niknam, T., & Pillai, P. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.10.036 · Cited by 218
Metadata
- Authors
- Conejo, A. J., Morales, J. M., & Baringo, L.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2010-12
- Volume
- 1
- Issue
- 3
- Pages
- 236-242
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W2054989445
- Cited by
- 966
- References
- 2
- FWCI
- 42.11
- Type
- journal article
- Language
- en
- Open access
- closed
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- Conejo, A. J., Morales, J. M., & Baringo, L. (2010). Real-Time Demand Response Model. IEEE Transactions on Smart Grid. https://doi.org/10.1109/tsg.2010.2078843
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
