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Efficient Utilization of Renewable Energy Sources by Gridable Vehicles in Cyber-Physical Energy Systems

机译:网格车辆在网络物理能源系统中对可再生能源的有效利用

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摘要

The main sources of emission today are from the electric power and transportation sectors. One of the main goals of a cyber-physical energy system (CPES) is the integration of renewable energy sources and gridable vehicles (GVs) to maximize emission reduction. GVs can be used as loads, sources and energy storages in CPES. A large CPES is very complex considering all conventional and green distributed energy resources, dynamic data from sensors, and smart operations (e.g., charging/discharging, control, etc.) from/to the grid to reduce both cost and emission. If large number of GVs are connected to the electric grid randomly, peak load will be very high. The use of conventional thermal power plants will be economically expensive and environmentally unfriendly to sustain the electrified transportation. Intelligent scheduling and control of elements of energy systems have great potential for evolving a sustainable integrated electricity and transportation infrastructure. The maximum utilization of renewable energy sources using GVs for sustainable CPES (minimum cost and emission) is presented in this paper. Three models are described and results of the smart grid model show the highest potential for sustainability.
机译:当今的主要排放源来自电力和运输部门。网络物理能源系统(CPES)的主要目标之一是将可再生能源与可网格化车辆(GV)集成在一起,以最大程度地减少排放。 GV可用作CPES中的负载,源和能量存储。考虑到所有常规和绿色分布式能源,来自传感器的动态数据以及来自/至电网的智能操作(例如,充电/放电,控制等),以降低成本和排放,大型CPES十分复杂。如果大量GV随机连接到电网,则峰值负载将非常高。常规火力发电厂的使用在经济上昂贵且对环境不利于维持电气化运输。能源系统元素的智能调度和控制对于发展可持续的电力和运输基础设施具有巨大潜力。本文介绍了使用GV可持续CPES的可再生能源的最大利用(最低成本和排放量)。描述了三种模型,智能电网模型的结果显示了最大的可持续性潜力。

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