Optimal battery sizing studies tend to overly simplify the practical aspects of battery operation within the battery sizing framework. Such assumptions may lead to a suboptimal battery capacity, resulting in significant financial losses for a battery project that could last more than a decade. In this paper, we compare the most common existing sizing methods in the literature with a battery sizing model that incorporates the practical operation of a battery, that is, receding horizon operation. Consequently, we quantify the financial losses caused by the suboptimal capacities obtained by these models for a realistic case study related to community battery storage (CBS). We develop the case study by constructing a mathematical framework for the CBS and local end users. Our results show that existing sizing methods can lead to financial losses of up to 22%.

翻译：优化电池容量研究往往过度简化电池实际运行中的实践细节。此类假设可能导致电池容量设计欠佳，对寿命超过十年的电池项目造成显著经济损失。本文比较了文献中现有主流容量配置方法与纳入电池实际运行机制（即滚动时域运行）的容量模型。进而，我们以社区电池储能（CBS）实际案例量化了欠优容量配置导致的经济损失。通过构建CBS与本地终端用户的数学模型开发案例研究，结果表明现有容量配置方法可能导致高达22%的经济损失。