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Integration of intermittent renewable power supply using grid-connected vehicles: A 2030 case study for California and Germany

机译:使用并网车辆整合间歇性可再生电力:2030年加州和德国的案例研究

摘要

This paper describes a method to characterize the fluctuating electricity generation of renewable energy sources (RES) in a power system and compares the different parameters for California and Germany. Based on this method describing the fluctuation and residual load, the potential contribution of grid-connected vehicles to balancing generation from renewable energy sources is analyzed for a 2030 scenario using the agent-based simulation model PowerACE. The analysis reveals that integrating fluctuating RES is possible with less effort in California because of a higher correlation between RES generation and the load curve here. In addition, RES capacity factors are higher for California and therefore the ratio of installed capacity to peak load is lower. Germany, on the other hand, faces extreme residual load changes between periods with and without supply from RES. In both power system scenarios, grid-connected vehicles play an important role in reducing residual load fluctuation if smart charging is used. Uncontrolled charging or static time-of-use tariffs do not significantly improve the grid integration of RES.
机译:本文介绍了一种表征电力系统中可再生能源(RES)波动发电的方法,并比较了加利福尼亚和德国的不同参数。基于这种描述波动和残余负载的方法,使用基于代理的仿真模型PowerACE分析了2030年情况下并网车辆对平衡可再生能源发电的潜在贡献。该分析表明,在加利福尼亚州,可以用较少的精力整合波动的RES,这是因为RES生成与此处的负荷曲线之间的相关性更高。此外,加州的RES容量系数较高,因此装机容量与峰值负荷的比率较低。另一方面,在有和没有RES供应的情况下,德国在不同时期之间都面临极端的剩余负荷变化。在两种电力系统方案中,如果使用智能充电,并网车辆在减少剩余负载波动方面都起着重要作用。不受控制的充电或静态使用时间收费不会显着改善RES的电网集成度。

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