The Capacity Value Ratio (CVR), or the part of its capacity that a technology can supply during peak residual load hours, is an important concept in the context of future resource adequacy. Especially for distributed resources, this is still underexplored territory. In this research, we investigate the peak reduction potential on both the distribution and transmission system level for a community battery coupled with photovoltaic (PV) systems as well as for smart charging approaches of electric vehicles (EVs) and vehicle-to-grid (V2G) technology. On the distribution level, it is shown that batteries charged only with PV-generated electricity reduce the peak residual load by 14.6%, whereas grid-charged batteries can reduce peak residual load by 30.0%. It is also found that deploying V2G can result in a decrease of the peak residual load, despite the additional EV charging demand. On the transmission system level, it is found that the CVR of PV is only 0.6%, however, the CVR of a PV-charged community battery is 25.0% whereas a grid-charged battery can have a CVR of 47.0%. The approximation method used in this study generates similar results as reliability-based methods found in literature. Regarding EVs, we approximate the load shifting potential of EV smart charging at 78.5% and the CVR of V2G at 8.9%. This indicates EVs could play an important role in maintaining resource adequacy in the context of a phase-out of conventional power plants, given that this has priority in the optimization of EV charging.

在未来资源充足的情况下，容量价值比（CVR）或技术在峰值剩余负载小时内可提供的部分容量，是一个重要的概念。特别是对于分布式资源，这仍然是未开发的领域。在这项研究中，我们研究了与光伏（PV）系统耦合的社区电池以及电动汽车（EV）和车辆到电网（V2G）的智能充电方法在配电和传输系统水平上的峰值降低潜力）技术。从配电水平来看，仅用光伏发电充电的电池可将峰值残余负荷降低14.6％，而通过电网充电的电池可将峰值残余负荷降低30.0％。还发现部署V2G可以减少峰值残余负载，尽管有额外的电动汽车充电需求。在传输系统级别上，发现PV的CVR仅为0.6％，但是，使用PV充电的社区电池的CVR为25.0％，而使用电网充电的电池的CVR可以为47.0％。本研究中使用的近似方法产生的结果与文献中基于可靠性的方法相似。对于电动汽车，我们估计电动智能充电的负载转移潜力约为78.5％，而V2G的CVR约为8.9％。这表明，在逐步淘汰传统发电厂的情况下，电动汽车可以在维持资源充足性方面发挥重要作用，因为这在优化电动汽车充电中具有优先权。0％，而充满电的电池的CVR为47.0％。本研究中使用的近似方法产生的结果与文献中基于可靠性的方法相似。对于电动汽车，我们估计电动智能充电的负载转移潜力约为78.5％，而V2G的CVR约为8.9％。这表明，在逐步淘汰传统发电厂的情况下，电动汽车可以在维持资源充足性方面发挥重要作用，因为这在优化电动汽车充电中具有优先权。0％，而充满电的电池的CVR为47.0％。本研究中使用的近似方法产生的结果与文献中基于可靠性的方法相似。对于电动汽车，我们估计电动智能充电的负载转移潜力约为78.5％，而V2G的CVR约为8.9％。这表明，在逐步淘汰传统发电厂的情况下，电动汽车可以在维持资源充足性方面发挥重要作用，因为这在优化电动汽车充电中具有优先权。