英国低压住宅配电网电动汽车充电管理算法

Z. Qiao, Jin Yang
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引用次数: 4

摘要

将电动汽车(ev)集成到低压(LV)住宅配电网中不可避免地增加了总需求,特别是峰值需求,这可能导致热或电压问题。在本文中,我们对一个400V的实际住宅配电网络进行了建模,并用于量化电动汽车日益普及所带来的影响。1分钟分辨率的住宅负荷曲线和记录充电状态(SOC)的电动汽车充电曲线是随机和统计创建的。然后,提出了一种简单的电动汽车用户充电点局部决策的充电管理算法。结果表明,该方法可以减轻电动汽车充电对网络资产的负面影响。此外,它可以降低电动汽车用户充电的电力成本,基于现有的英国电价计划“经济7”,而不会影响电动汽车的使用或大量的网络基础设施加固或安装广泛的监控、控制和通信系统。仿真模型和分析在低压配电网仿真平台MATLAB/OpenDSS中实现。
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Electric Vehicle charging management algorithm for a UK low-voltage residential distribution network
The integration of Electric Vehicles (EVs) into low-voltage (LV) residential distribution networks inevitably increases the overall demand, especially peak demand, which may cause thermal or voltage issues. In this paper, a 400V practical residential distribution network is modelled and used to quantify these impacts due to the growing penetration of EVs. Residential load profiles in 1-minute resolution and EV charging profiles with recorded State of Charge (SOC) are randomly and statistically created. Then, a simple charging management algorithm with locally made decision is suggested at EV users' charging points. Results prove that this approach can mitigate the negative impacts of EV charging on network assets. Moreover, it can reduce EV users' electricity cost for charging based on existing UK electricity price scheme `Economy 7,' without compromising EV usage or substantial network infrastructure reinforcement or installation of extensive monitor, control and communication system. The simulation models and analysis are implemented in MATLAB/OpenDSS as an LV distribution network simulation platform.
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