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Robust Optimization for Bidirectional Dispatch Coordination of Large-Scale V2G

机译:大型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 plug-in 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:本文提出了一种鲁棒优化(RO)模型,用于电网中大型插电式电动汽车(PEV)的双向调度协调,在该电网中将PEV聚合在一起进行管理。 PEV聚合器被认为是一种具有随机行为的可调度需求响应和能量存储资源,可以为电网提供负载或提供诸如调节储备之类的辅助服务。然后将提出的RO模型重新构造为混合整数二次规划模型,可以有效地对其进行求解。对具有十个发电机和三个PEV聚合器的电网进行计算机仿真,以验证RO模型对PEV的双向调度协调的经济利益以及RO模型对于PEV的随机移动性不确定性的鲁棒性。

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