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一种用于控制微电网系统参数的车辆到电网系统。

A Vehicle-to-Grid System for Controlling Parameters of Microgrid System.

作者信息

Sarda Jigar, Raj Yashrajsinh, Patel Arpita, Shukla Aasheesh, Kachhatiya Satish, Sain Mangal

机构信息

M. & V. Patel Department of Electrical Engineering, Chandubhai S. Patel Institute of Technology, Charotar University of Science & Technology, Anand 388421, Gujarat, India.

V. T. Patel Department of Electronics & Communication Engineering, Chandubhai S. Patel Institute of Technology, Charotar University of Science & Technology, Anand 388421, Gujarat, India.

出版信息

Sensors (Basel). 2023 Aug 1;23(15):6852. doi: 10.3390/s23156852.

DOI:10.3390/s23156852
PMID:37571635
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10422278/
Abstract

The power system for large-scale adoption of hybrid electric vehicles can benefit from a distributed reserve provided by the vehicle-to-grid (V2G) concept. This study suggests a V2G technology that can effectively control frequency on a microgrid throughout a 24-h cycle. When usage is at its lowest in the spring or fall, a microgrid is intended to be large enough to simulate a community of 2000 households. A 1:5 ratio of cars to households is realized by modelling 400 electric vehicles (EVs) as a basic model, indicating a typical case in the future. An in-depth analysis of the voltage, current, reactive, and active power is carried out for a microgrid. By coordinating control of diesel generation, renewable energy source (RES) generation, power exchange, and EV generation, the system frequency of a microgrid can be managed by regulating load demand with V2G devices. The proposed microgrid with V2G effectively manages energy and reduces the uncertain and variable nature of RES power generation with enhanced performance. System parameter variations have been investigated for various operating scenarios, and it has been discovered that error is confined to less than 5%.

摘要

大规模采用混合动力电动汽车的电力系统可受益于车辆到电网(V2G)概念所提供的分布式储备。本研究提出了一种V2G技术,该技术能够在24小时周期内有效控制微电网的频率。在春季或秋季用电需求最低时,微电网的规模设定为足以模拟一个由2000户家庭组成的社区。通过将400辆电动汽车(EV)建模为基本模型,实现了汽车与家庭1:5的比例,这代表了未来的典型情况。对微电网的电压、电流、无功功率和有功功率进行了深入分析。通过协调柴油发电、可再生能源(RES)发电、电力交换和电动汽车发电的控制,微电网的系统频率可通过V2G设备调节负载需求来进行管理。所提出的带有V2G的微电网能够有效管理能源,并通过增强性能降低RES发电的不确定性和波动性。针对各种运行场景研究了系统参数变化,发现误差限制在5%以内。

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