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Cited by 393

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Vehicle-to-Aggregator Interaction Game

Wu, Chenye, Mohsenian-Rad, Hamed, Huang, Jianwei·2012·IEEE Transactions on Smart Grid

Abstract

Electric vehicles (EVs) are likely to become very popular worldwide within the next few years. With possibly millions of such vehicles operating across the country, one can establish a distributed electricity storage system that comprises of the EVs' batteries with a huge total storage capacity. This can help the power grid by providing various ancillary services, once an effective vehicle-to-grid (V2G) market is established. In this paper, we propose a new game-theoretic model to understand the interactions among EVs and aggregators in a V2G market, where EVs participate in providing frequency regulation service to the grid. We develop a smart pricing policy and design a mechanism to achieve optimal frequency regulation performance in a distributed fashion. Simulation results show that our proposed pricing model and designed mechanism work well and can benefit both EVs (in terms of obtaining additional income) and the grid (in terms of achieving the frequency regulation command signal).

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Crossref · 10.1109/tsg.2011.2166414

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Metadata

Authors
Wu, C., Mohsenian-Rad, H., & Huang, J.
Venue
IEEE Transactions on Smart Grid
Published
2012-03
Volume
3
Issue
1
Pages
434-442
ISSN
  • 1949-3053 (ISSN-L)
  • 1949-3061
OpenAlex
W2011424864
Cited by
393
References
28
FWCI
21.61
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Vehicle-to-Aggregator Interaction Game. https://app.cochat.ai/papers/10.1109/tsg.2011.2166414
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Wu, C., Mohsenian-Rad, H., & Huang, J. (2012). Vehicle-to-Aggregator Interaction Game. IEEE Transactions on Smart Grid. https://doi.org/10.1109/tsg.2011.2166414

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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.