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Optimal behavior of electric vehicle parking lots as demand response aggregation agents

机译:电动汽车停车场作为需求响应聚集剂的最佳行为

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Summary form only given. With increasing environmental concerns, the electrification of transportation plays an outstanding role in the sustainable development. In this context, Plug-in Electric Vehicle (PEV) and demand response have indispensable impacts on the future smart grid. Since integration of PEVs into the grid is a key element to achieve sustainable energy systems, this paper presents the optimal behavior of PEV parking lots in the energy and reserve markets. To this end, a model is developed to derive optimal strategies of parking lots, as responsive demands, in both price-based and incentive-based Demand Response Programs (DRPs). The proposed model reflects the impacts of different DRPs on the operational behavior of parking lots and optimizes the participation level of parking lots in each DRP. Uncertainties of PEVs and electricity market are also considered by using a stochastic programming approach. Numerical studies indicate that the PEV parking lots can benefit from the selective participation in DRPs.
机译:仅提供摘要表格。随着对环境问题的日益关注,交通运输的电气化在可持续发展中发挥了重要作用。在这种情况下,插电式电动汽车(PEV)和需求响应对未来的智能电网具有不可或缺的影响。由于将PEV集成到电网中是实现可持续能源系统的关键因素,因此本文介绍了PEV停车场在能源和储备市场中的最佳行为。为此,在基于价格和基于激励的需求响应计划(DRP)中,开发了一个模型来导出停车场的最佳策略作为响应需求。所提出的模型反映了不同DRP对停车场运行行为的影响,并优化了每个DRP中停车场的参与程度。电动汽车和电力市场的不确定性也通过使用随机编程方法来考虑。数值研究表明,PEV停车场可以受益于DRP的选择性参与。

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