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Electric Vehicles Optimal Scheduling for Peer-to-Peer Energy Trade and Ancillary Services Provision to the Grid

机译:电动车辆对等能源贸易和辅助服务提供给网格的最佳调度

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Electric vehicles (EVs) have already been proliferated across the globe as an alternative to fossil-fueled vehicles to deal with the environmental issues. The extensive deployment of EVs can bring challenges to the grid if not properly integrated. Such challenges, however, can be turned into opportunities if the huge unused capacity of the battery storage in millions of EVs are utilized for ancillary services to the grid and peer-to-peer (PtP) energy trade. To that end, this paper proposes a new charging scheme for EVs considering PtP energy trade and ancillary services provision to the grid via smart contracts. A smart contract process is introduced to govern the PtP transactions between EV users. Further, an optimal EV charging scheduling algorithm is proposed that incorporates PtP energy offers and ancillary service requests into the scheduling process. The efficacy and feasibility of the proposed algorithm are validated through numerical studies.
机译:电动车(EVS)已经在全球各地的增殖,作为化石燃料车辆的替代方案,以应对环境问题。如果没有正确整合,EVS的广泛部署可能会给网格带来挑战。然而,如果数百万eV的电池存储的巨大未使用能力用于网格和对等(PTP)能源交易,则可以将这些挑战变成机会。为此,本文提出了一种通过智能合约考虑PTP能源贸易和辅助服务的EVS的新收费计划。介绍智能合同过程,以管理EV用户之间的PTP事务。此外,提出了一种最佳EV充电调度算法,其将PTP能量提供和辅助服务请求结合到调度过程中。通过数值研究验证了所提出的算法的功效和可行性。

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