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电动汽车提供频率支持以促进可再生能源并网
Frequency Support From Electric Vehicles for Advancing Renewable Energy Integration
| 作者 | Dilip Pandit · Atri Bera · Tu Nguyen · Raymond Byrne · Babu Chalamala · John Pierre |
| 期刊 | IEEE Transactions on Power Systems |
| 出版日期 | 2024年4月 |
| 技术分类 | 电动汽车驱动 |
| 技术标签 | 储能系统 下垂控制 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | 可再生能源 电动汽车 频率支持 渗透极限 优化框架 |
语言:
中文摘要
由于积极的脱碳目标、成本降低和政府投资增加,现代电网中可再生能源的并网比例迅速上升。然而,基于逆变器的发电方式渗透率提高会因系统惯性下降而引发频率稳定性问题。本文提出一种量化电动汽车(EV)为电网提供频率支持能力的框架,以提升可再生能源的并网极限。考虑EV提供虚拟惯性和一次频率响应,结合EV行为不确定性建立随机模型以确定其放电上限。构建包含EV动态虚拟惯性和下垂系数的多机系统频率响应(MM-SFR)模型,并从中导出频率安全约束。结合换流器电压安全与低电压穿越约束,嵌入非线性优化框架以求解可再生能源并网极限。基于RTS-GMLC测试系统验证了所提方法的有效性。
English Abstract
The integration of renewable energy resources (RERs) in the modern power grid is increasing rapidly because of aggressive decarbonization goals, lower costs, and increased government investment. However, higher penetrations of inverter-based generation can lead to frequency stability issues because of reduced system inertia. This paper develops a framework for quantifying the contribution of electric vehicles (EVs) toward providing frequency support to the grid and thus increasing the penetration limit of renewable energy resources (RERs). EVs are considered to provide both inertial response and primary frequency response support to the grid. A stochastic approach incorporating the uncertainties associated with the behavior of EVs is developed to derive the discharge limit of EV aggregators. A multi-machine system frequency response (MM-SFR) model is developed, which incorporates the dynamic virtual inertia and droop coefficients of EV aggregators derived from the EV control modules. Frequency security constraints are developed from this MM-SFR model, which, along with the converter voltage security and low voltage ride-through constraints, are integrated within a nonlinear optimization framework to determine the RER integration limit. The efficacy of the proposed approach is validated using the RTS-GMLC test system.
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SunView 深度解读
该研究对阳光电源V2G储能系统和充电桩产品线具有重要应用价值。文章提出的EV虚拟惯性和一次频率响应框架,可直接应用于阳光电源车网互动充电桩和PowerTitan储能系统的协同控制策略。具体而言:1)EV动态虚拟惯性和下垂系数的MM-SFR模型可优化ST系列储能变流器的VSG控制算法,提升电网频率支撑能力;2)考虑EV行为不确定性的随机放电模型可增强iSolarCloud平台的V2G调度策略;3)频率安全约束与LVRT约束的协同优化方法,为阳光电源构网型GFM控制技术在高比例新能源场景下的应用提供理论支撑,助力光储充一体化解决方案的频率稳定性提升。