The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Optimal Charge Control of Plug-In Hybrid Electric Vehicles in Deregulated Electricity Markets
Abstract
Plug-in hybrid electric vehicles are a midterm solution to reduce the transportation sector's dependency on oil. However, if implemented in a large scale without control, peak load increases significantly and the grid may be overloaded. Two algorithms to address this problem are proposed and analyzed. Both are based on a forecast of future electricity prices and use dynamic programming to find the economically optimal solution for the vehicle owner. The first optimizes the charging time and energy flows. It reduces daily electricity cost substantially without increasing battery degradation. The latter also takes into account vehicle to grid support as a means of generating additional profits by participating in ancillary service markets. Constraints caused by vehicle utilization as well as technical limitations are taken into account. An analysis, based on data of the California independent system operator, indicates that smart charge timing reduces daily electricity costs for driving from $0.43 to $0.2. Provision of regulating power substantially improves plug-in hybrid electric vehicle economics and the daily profits amount to $1.71, including the cost of driving.
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Citations
Cites
Bellman, R. E. (2010) · doi:10.1515/9781400835386 · Cited by 14,588
Kempton, W., & Tomić, J. (2005) · Journal of Power Sources · doi:10.1016/j.jpowsour.2004.12.022 · Cited by 2,126
The Impact of Electric Vehicle Deployment on Load Management Straregies
Heydt, G. (1983) · IEEE Transactions on Power Apparatus and Systems · doi:10.1109/tpas.1983.318071 · Cited by 147
Cited by
Mwasilu, F., Justo, J. J., Kim, E.-K., Do, T. D., & Jung, J.-W. (2014) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2014.03.031 · Cited by 1,162
Review of the Impact of Vehicle-to-Grid Technologies on Distribution Systems and Utility Interfaces
Yilmaz, M., & Krein, P. T. (2013) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2012.2227500 · Cited by 1,024
Coordinated charging of electric vehicles for congestion prevention in the distribution grid
Hu, J., You, S., Lind, M., & Ostergaard, J. (2014) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2013.2279007 · Cited by 330
A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid
Nimalsiri, N. I., Mediwaththe, C. P., Ratnam, E. L., Shaw, M., Smith, D. B., & Halgamuge, S. K. (2020) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2019.2943620 · Cited by 271
The role of electric vehicles in smart grids
Galus, M. D., Vayá, M. G., Krause, T., & Andersson, G. (2013) · WIREs Energy and Environment · doi:10.1002/wene.56 · Cited by 129
Metadata
- Authors
- Rotering, N., & Ilic, M.
- Venue
- IEEE Transactions on Power Systems
- Published
- 2011-08
- Volume
- 26
- Issue
- 3
- Pages
- 1021-1029
- ISSN
- 0885-8950 (ISSN-L)
- 1558-0679
- OpenAlex
- W2133597699
- Cited by
- 634
- References
- 3
- FWCI
- 32.15
- Type
- journal article
- Language
- en
- Open access
- closed
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- Rotering, N., & Ilic, M. (2011). Optimal Charge Control of Plug-In Hybrid Electric Vehicles in Deregulated Electricity Markets. IEEE Transactions on Power Systems. https://doi.org/10.1109/tpwrs.2010.2086083
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