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含分布式能源资源和电动汽车的智能电网中的日前最优调度计划

Day Ahead Optimal Dispatch Schedule in a Smart Grid Containing Distributed Energy Resources and Electric Vehicles.

作者信息

Fotopoulou Maria, Rakopoulos Dimitrios, Blanas Orestis

机构信息

Chemical Process and Energy Resources Institute, Centre for Research and Technology Hellas, 52 Egialias Str., Maroussi, GR-15125 Athens, Greece.

出版信息

Sensors (Basel). 2021 Nov 2;21(21):7295. doi: 10.3390/s21217295.

Abstract

This paper presents a day ahead optimal dispatch method for smart grids including two-axis tracking photovoltaic (PV) panels, wind turbines (WT), a battery energy storage system (BESS) and electric vehicles (EV), which serve as additional storage systems in vehicle to grid (V2G) mode. The aim of the day ahead schedule is the minimization of fuel-based energy, imported from the main grid. The feasibility of the proposed method lies on the extensive communication network of the smart grids, including sensors and metering devices, that provide valuable information regarding the production of the distributed energy resources (DER), the energy consumption and the behavior of EV users. The day ahead optimal dispatch method is applied on a smart grid in order to showcase its effectiveness in terms of sustainability, full exploitation of DER production and ability of EVs to act as prosumers.

摘要

本文提出了一种用于智能电网的提前一天优化调度方法,该智能电网包括双轴跟踪光伏(PV)板、风力涡轮机(WT)、电池储能系统(BESS)和电动汽车(EV),电动汽车在车辆到电网(V2G)模式下作为额外的储能系统。提前一天调度的目标是将从主电网进口的基于燃料的能源降至最低。所提方法的可行性在于智能电网广泛的通信网络,包括传感器和计量设备,这些设备提供有关分布式能源资源(DER)生产、能源消耗和电动汽车用户行为的有价值信息。提前一天优化调度方法应用于一个智能电网,以展示其在可持续性、充分利用DER生产以及电动汽车作为产消者的能力方面的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd8b/8587728/4143835de318/sensors-21-07295-g001.jpg

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