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

机译:电动车辆停车场的最佳行为作为需求响应聚集代理

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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:摘要表格仅给出。随着环境问题的增加,运输的电气化在可持续发展中起着突出的作用。在这种情况下,插入式电动车(PEV)和需求响应对未来的智能电网具有必不可少的影响。由于PEV的整合到网格中是实现可持续能源系统的关键因素,因此本文提出了能量和储备市场中PEV停车场的最佳行为。为此,开发了一种模型,以在基于价格和激励的需求响应计划(DRPS)中获得响应要求的停车场最佳策略。该拟议模型反映了不同DRP对停车场的操作行为的影响,并优化每个DRP中停车场的参与水平。使用随机编程方法也考虑了PEV和电力市场的不确定性。数值研究表明,PEV停车场可以从选择性参与DRPS中受益。

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