搭载光伏板、储能和电动汽车的智能电网应用节点仿真模型

L. Damiani, Jacopo Dellachà, A. P. Prato, R. Revetria
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引用次数: 6

摘要

提高可再生能源的开发利用水平是当前能源领域研究的一个中心课题。全球能源结构中可再生能源增加的主要障碍之一是可再生能源的波动性。电力波动是单个节点所连接的电网受力的原因。通过实施“智能电网”,可以更广泛地利用可再生能源,“智能电网”是由用户和可再生能源组成的几个智能节点的互连构成的。为了减少可再生能源的随机影响,可以在组成智能电网的节点中引入能量存储,最终平滑功率峰值,使节点本身对电网的干扰减少。本文提出了一个智能节点的仿真模型,该模型由用户电源剖面、光伏板、电动汽车和电池组成。通过仿真模型,可以定量地评价节点效应对电网的影响。在不同的节点配置下进行了测试:基本配置(唯一的用户功率配置),基本配置光伏板,基本配置存储,基本配置面板和存储,最后是包括电动汽车在内的完整配置。对一个家庭用户和一个工业用户重复进行了测试,以评估尺寸对感兴趣参数的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation Model of a Node for Smart Grid Applications, Equipped with Photovoltaic Panel, Energy Storage and Electric Vehicle
The improvement of renewable energy sources exploitation is a central topic of the present studies in the energetic field. One of the main obstacles to the renewable energy increase in the global energetic mix is represented by the fluctuating nature of renewable power sources. The power fluctuations are cause of stress for the electric grid to which the individual nodes are connected. A wider exploitation of renewable power is possible through the implementation of a “smart grid”, constituted by an interconnection of several smart nodes consisting in a user and a renewable source. To reduce the stochastic effects of the renewable energy source it is possible to introduce in the nodes composing the smart grid an energy storage, finalized to smooth the power peaks, rending the node itself less disturbing for the electric grid. This paper presents a simulation model of a smart node, consisting in a user power profile, a photovoltaic panel, an electric vehicle and a battery. Through the simulation model it is possible to evaluate the node effect on the electric grid, with a quantitative approach. Tests were worked out in different node configurations: basic (the only user power profile), basic with photovoltaic panel, basic with storage, basic with panel and storage and finally the complete configuration including also the electric vehicle. The tests were repeated for a domestic and an industrial user to evaluate the size influence over the parameters of interest.
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