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

机译:插电式电动汽车充电方法:集中式与分散式,战略式与合作式

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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,插电式电动汽车(PEV)的充电可以及时转移。这种灵活性可以用来降低充电的成本和/或网络影响,甚至提供辅助服务。从PEV的角度或从社会的角度来看,本文的重点是将充电灵活性用于成本最小化。收费控制方法可以从两个方面进行分类:a)决策可以由PEV(分散控制)在本地进行,也可以由通常称为聚合器的代理(集中控制)在集中进行; b)决策代理(私募股权公司或集合商)可以做出具有社会最佳性(合作)的决策,也可以采取策略性行为,从而最大限度地提高自己的利润。我们描述了与相关的四种可能配置相对应的方法,这些方法考虑了驾驶模式的不确定性和与市场相关的不确定性。我们使用真实的市场数据和真实的驾驶模式进行模拟,以比较不同的方法。结果表明,即使代理协同行动,利用计费灵活性的好处也是可观的。此外,与市场相关的不确定性相比,驱动不确定性对成本的影响较小。

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