The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Optimal Behavior of Electric Vehicle Parking Lots as Demand Response Aggregation Agents
Abstract
With increasing environmental concerns, the electrification of transportation plays an outstanding role in the sustainable development. In this context, plug-in electric vehicle (PEV) and demand response have indispensable impacts on the future smart grid. Since integration of PEVs into the grid is a key element to achieve sustainable energy systems, this paper presents the optimal behavior of PEV parking lots in the energy and reserve markets. To this end, a model is developed to derive optimal strategies of parking lots, as responsive demands, in both price-based and incentive-based demand response programs (DRPs). The proposed model reflects the impacts of different DRPs on the operational behavior of parking lots and optimizes the participation level of parking lots in each DRP. Uncertainties of PEVs and electricity market are also considered by using a stochastic programming approach. Numerical studies indicate that the PEV parking lots can benefit from the selective participation in DRPs.
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Cites
A summary of demand response in electricity markets
Albadi, M. H., & El-Saadany, E. F. (2008) · Electric Power Systems Research · doi:10.1016/j.epsr.2008.04.002 · Cited by 1,884
Assessment of the Impact of Plug-in Electric Vehicles on Distribution Networks
Pieltain Fernandez, L., Gomez San Roman, T., Cossent, R., Mateo Domingo, C., & Frias, P. (2011) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2010.2049133 · Cited by 1,245
Neyestani, N., Damavandi, M. Y., Shafie-Khah, M., Contreras, J., & Catalao, J. P. S. (2015) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2014.2359919 · Cited by 190
Self-citation
Cited by
Energy management system for smart grid: An overview and key issues
Rathor, S. K., & Saxena, D. (2020) · International Journal of Energy Research · doi:10.1002/er.4883 · Cited by 494
Exploiting demand-side flexibility: State-of-the-art, open issues and social perspective
D’Ettorre, F., Banaei, M., Ebrahimy, R., Pourmousavi, S. A., Blomgren, E. M. V., Kowalski, J., Bohdanowicz, Z., Łopaciuk-Gonczaryk, B., Biele, C., & Madsen, H. (2022) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2022.112605 · Cited by 160
A Hybrid Incentive Program for Managing Electric Vehicle Charging Flexibility
Wang, H., Jia, Y., Shi, M., Xie, P., Lai, C. S., & Li, K. (2023) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2022.3197422 · Cited by 59
A Two Stage Model for Optimum Allocation of Electric Vehicle Parking Lots in Smart Grids
Moradijoz, M., Moazzen, F., Allahmoradi, S., Moghaddam, M. P., & Haghifam, M. R. (2018) · 2018 Smart Grid Conference (SGC) · doi:10.1109/sgc.2018.8777877 · Cited by 13
Metadata
- Authors
- Shafie-khah, M., Heydarian-Forushani, E., Osorio, G. J., Gil, F. A. S., Aghaei, J., Barani, M., & Catalao, J. P. S.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2016-11
- Volume
- 7
- Issue
- 6
- Pages
- 2654-2665
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W2342981086
- Cited by
- 240
- References
- 3
- FWCI
- 7.86
- Type
- journal article
- Language
- en
- Open access
- closed
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