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Robust optimization for bidirectional dispatch coordination of large-scale V2G

机译:大规模V2G双向调度协调的鲁棒优化

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This paper proposes a robust optimization (RO) model for bidirectional dispatch coordination of large-scale plugin electric vehicles (PEVs) in a power grid in which the PEVs are aggregated to manage. The PEV aggregators are considered as a type of dispatchable demand response and energy storage resource with stochastic behaviors, and can supply load or provide ancillary services such as regulation reserve to the grid. The proposed RO model is then reformulated as a mixed-integer quadratic programming model, which can be solved efficiently. Computer simulations are performed for a power grid with ten generators and three PEV aggregators to validate the economic benefit of the RO model for bidirectional dispatch coordination of the PEVs and the robustness of the RO model to the uncertainty of the PEVs' stochastic mobility behaviors.
机译:本文提出了一种强大的优化(RO)模型,用于在电网中进行大型插件电动车辆(PEV)的双向调度协调,其中PEVS聚合以管理。 PEV聚合器被认为是一种带有随机行为的调度需求响应和能量存储资源的类型,并且可以提供负载或提供辅助服务,例如调节储备到网格。然后将所提出的RO模型作为混合整数二次编程模型来重新重新重新重新重整,这可以有效地解决。电脑仿真对具有十个发电机的电网和三个PEV聚合器进行了用于验证PEV的双向调度协调的RO模型的经济效益,以及RO模型对PEVS随机移动行为的不确定性的鲁棒性。

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