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Plug-in Electric Vehicle charging approaches: Centralized versus decentralized and strategic versus cooperative

机译:插入式电动车充电方法:集中式与分散和战略性与合作社

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Typically, the charging of Plug-in Electric Vehicles (PEVs) can be shifted in time. This flexibility can be used to reduce the cost and/or network impact of charging, and even to provide ancillary services. The focus of this paper is on the use of charging flexibility for cost minimization, either from the perspective of PEVs or from the society's point of view. Charging control approaches can be classified along two dimensions: a) The decisions can be taken locally by the PEVs (decentralized control) or centrally by an agent, typically called aggregator, (centralized control), b) The decision-making agent(s) (PEVs or aggregator) can take decisions that are socially optimal (cooperative), or can behave strategically, maximizing their own profit. We describe approaches that correspond to the related four possible configurations, and which take the uncertainty in driving patterns and the market-related uncertainty into account. We perform simulations with real market data and realistic driving patterns to compare the different approaches. Results show that the benefit from exploiting charging flexibility is substantial, even if the agents behave cooperatively. Moreover, driving uncertainty has a minor impact on costs compared to market-related uncertainty.
机译:通常,插入式电动车辆(PEV)的充电可以及时移动。这种灵活性可用于降低充电的成本和/或网络影响,甚至提供辅助服务。本文的重点是在PEV的角度或来自社会的角度来看,使用充电灵活性以获得成本最小化。充电控制方法可以沿两个维度分类:a)决定可以由PEV(分散控制)本地或由代理,通常称为聚合器,(集中控制),B)决策代理(S)。 (PEVS或聚合器)可以采取社会最佳(合作)的决定,或者可以在战略上表现,最大化自己的利润。我们描述了与相关四种可能的配置相对应的方法,并考虑到驾驶模式和市场相关的不确定性的不确定性。我们使用真实市场数据和现实驾驶模式进行模拟,以比较不同的方法。结果表明,即使代理商行为协同行为,利用充电灵活性的利益也很大。此外,与市场相关的不确定性相比,驾驶不确定性对成本具有轻微影响。

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