@inproceedings {23488,
	title = {Group Bidding for Guaranteed Quality of Energy in V2G Smart Grid Networks},
	journal = {IEEE International Conference on Communications},
	year = {2015},
	month = {06/2015},
	publisher = {IEEE},
	address = {London, UK},
	abstract = {With the aid of advanced Information and Communication Technologies (ICT), Vehicle-to-Grid (V2G) networks will play an important role in supporting and enhancing the distributed electricity supply in the next generation power grid{\textendash}smart grid. In order to ensure stability of the power grid and satisfy the Quality of Energy (QoE) requirements of Electric Vehicles (EVs), this paper proposes a two-level group bidding mechanism for the electric energy trade between the grid and EVs. Communication networks are used to support the exchange of relevant information between the grid and EVs. EVs act as mobile energy storage and compete to be one of the members in the electricity feedback group organized by aggregators. We aim at minimizing the cost of given electricity demand of the grid and maximizing the profit of those auction winner EVs. A quantity based feedback electricity unit pricing scheme is proposed to incentivize the participation of EVs in V2G networks. Moreover, Vickrey-Clarke-Groves (VCG) auction-based algorithms are designed to implement our proposed mechanisms. Simulation results indicate that our mechanism is able to reduce the cost of the grid while offer EVs significant incentives to participate inthe V2G power market.},
	keywords = {auction, groupselling, truthful bidding strategy, Vehicle-to-Grid (V2G) networks},
	author = {Zeng, Ming and Maharjan, Sabita and Zhang, Yan and Gjessing, Stein}
}
@article {23691,
	title = {An Incentivized Auction Based Group-Selling Approach for Demand Response Management in V2G Systems},
	journal = {IEEE Transactions on Industrial Informatics},
	volume = {11},
	year = {2015},
	month = {12/2015},
	pages = {1554-1563},
	publisher = {IEEE},
	abstract = {Vehicle-to-Grid (V2G) system with efficient Demand Response Management (DRM) is critical to solve the problem of supplying electricity by utilizing surplus electricity available at EVs. An incentivilized DRM approach is studied to reduce the system cost and maintain the system stability. EVs are motivated with dynamic pricing determined by the group-selling based auction. In the proposed approach, a number of aggregators sit on the first level auction responsible to communicate with a group of EVs. EVs as bidders consider Quality of Energy (QoE) requirements and report interests and decisions on the bidding process coordinated by the associated aggregator. Auction winners are determined based on the bidding prices and the amount of electricity sold by the EV bidders. We investigate the impact of the proposed mechanism on the system performance with maximum feedback power constraints of aggregators. The designed mechanism is proven to have essential economic properties. Simulation results indicate the proposed mechanism can reduce the system cost and offer EVs significant incentives to participate in the V2G DRM operation.},
	keywords = {auction, Demand response management, group-selling, Vehicle-to-grid},
	doi = {10.1109/TII.2015.2482948},
	author = {Zeng, Ming and Leng, Supeng and Maharjan, Sabita and Gjessing, Stein and He, Jianhua}
}
