 A game theory-based price bidding strategy for electric vehicle aggregators in the presence of wind power producersSaeed Shojaabadi, Vahid Talavat and Sadjad Galvani Renewable Energy, 2022, vol. 193, issue C, 407-417 Abstract: A game theory-based approach was proposed for energy exchange between the electric vehicles (EV) load and wind power producers (WPP) active in the regulation, balancing, and day-ahead markets. An optimal Bidding strategy was developed to reduce risks arising from the wind energy–EV imbalance in the energy markets where EV aggregators (EVAs) Bid price packages to WPPs for charging or not charging EVs to compensate for energy deviations. Generally, the WPP collects price Bids by aggregators to determine the share of each aggregator in energy exchange contracts by maximizing its profit function. On the other hand, there is competition between EV aggregators to sell their services to WPPs for compensating losses of EV owners. A non-cooperative game was to serve as a model for the competition among EV aggregators due to insufficient information. The Nash equilibrium was employed to solve this non-cooperative game. Keywords: Energy exchange; Electric vehicle; Wind; Game theory; Nash equilibrium (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:193:y:2022:i:c:p:407-417 DOI: 10.1016/j.renene.2022.04.163 Access Statistics for this article Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides More articles in Renewable Energy from Elsevier |
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