The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Optimal Bidding Strategy for Electric Vehicle Aggregators in Electricity Markets
Abstract
This paper determines the optimal bidding strategy of an electric vehicle (EV) aggregator participating in day-ahead energy and regulation markets using stochastic optimization. Key sources of uncertainty affecting the bidding strategy are identified and incorporated in the stochastic optimization model. The aggregator portfolio optimization model should include inevitable deviations between day-ahead cleared bids and actual real-time energy purchases as well as uncertainty for the energy content of regulation signals in order to ensure profit maximization and reliable reserve provision. Energy deviations are characterized as “uninstructed” or “instructed” depending on whether or not the responsibility resides with the aggregator. Price deviations and statistical characteristics of regulation signals are also investigated. Finally, a new battery model is proposed for better approximation of the battery charging characteristic. Test results with an EV aggregator representing one thousand EVs are presented and discussed.
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Cites
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Optimal Charging Strategies for Unidirectional Vehicle-to-Grid
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Optimal Charge Control of Plug-In Hybrid Electric Vehicles in Deregulated Electricity Markets
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Cited by
Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning
Wan, Z., Li, H., He, H., & Prokhorov, D. (2019) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2018.2879572 · Cited by 548
Bilateral Contract Networks for Peer-to-Peer Energy Trading
Morstyn, T., Teytelboym, A., & Mcculloch, M. D. (2019) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2017.2786668 · Cited by 543
Vehicle-to-Grid Aggregator to Support Power Grid and Reduce Electric Vehicle Charging Cost
Amamra, S.-A., & Marco, J. (2019) · IEEE Access · doi:10.1109/access.2019.2958664 · Cited by 282
Zheng, Y., Niu, S., Shang, Y., Shao, Z., & Jian, L. (2019) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2019.05.059 · Cited by 267
Integrated operation of electric vehicles and renewable generation in a smart distribution system
Zakariazadeh, A., Jadid, S., & Siano, P. (2015) · Energy Conversion and Management · doi:10.1016/j.enconman.2014.09.062 · Cited by 144
Metadata
- Authors
- Vagropoulos, S. I., & Bakirtzis, A. G.
- Venue
- IEEE Transactions on Power Systems
- Published
- 2013-11
- Volume
- 28
- Issue
- 4
- Pages
- 4031-4041
- ISSN
- 0885-8950 (ISSN-L)
- 1558-0679
- OpenAlex
- W2032489938
- Cited by
- 458
- References
- 23
- FWCI
- 16.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- Vagropoulos, S. I., & Bakirtzis, A. G. (2013). Optimal Bidding Strategy for Electric Vehicle Aggregators in Electricity Markets. IEEE Transactions on Power Systems. https://doi.org/10.1109/tpwrs.2013.2274673
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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.
