在能源系统模型中准确和可扩展的电动汽车表示:基于虚拟存储的聚合方法
Jarusch Muessel1,2, Oliver Ruhnau3,4, Reinhard Madlener5,6
1Potsdam Institute for Climate Impact Research, Potsdam, Germany.
iScience
|September 22, 2023
概括
电动汽车 (EV) 可以通过智能充电来帮助电网平衡. 一种新的聚合方法准确地模拟了电动汽车的灵活性,与天真方法相比显示了10%的潜力,这对于现实的能源系统规划至关重要.
科学领域:
- 能源系统工程 能源系统工程
- 计算建模 计算建模
- 电动汽车技术 电动汽车技术
背景情况:
- 电动汽车 (EV) 的日益普及,为电力系统稳定性带来了挑战和机遇.
- 电动汽车的智能充电可能会支持电网平衡服务.
- 准确的电动汽车车队建模对于了解它们在系统层面的影响至关重要.
研究的目的:
- 解决能源系统模型中当前EV聚合方法的局限性.
- 开发一种可扩展和准确的方法来建模电动汽车车队的灵活性.
- 为了提供一个更现实的估计电动汽车提供的灵活性潜力.
主要方法:
- 开发了一种新的聚合方法,将不受控制的充电偏差建模为虚拟能量存储.
- 将该方法应用于德国的案例研究以验证.
- 将结果与传统的,天真的聚合技术进行了比较.
主要成果:
- 一种天真的聚合方法高估了舰队的灵活性潜力.
- 拟议的可扩展聚合方法产生了更现实的灵活性估计.
- 德国的案例研究显示,平均灵活性潜力为6.2kWh/EV,远低于天真方法.
结论:
- 开发的聚合方法可以在能源系统模型中更准确地表示电动汽车.
- 这种方法对于对电网灵活性和规划进行现实的评估至关重要.
- 该方法可扩展到电力系统中其他灵活资产的建模.
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