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A Convex Cycle-based Degradation Model for Battery Energy Storage Planning and Operation

机译:基于凸周期的电池储能退化模型   规划和运营

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摘要

A vital aspect in energy storage planning and operation is to accuratelymodel its operational cost, which mainly comes from the battery celldegradation. Battery degradation can be viewed as a complex material fatigueprocess that based on stress cycles. Rainflow algorithm is a popular way forcycle identification in material fatigue process, and has been extensively usedin battery degradation assessment. However, the rainflow algorithm does nothave a closed form, which makes the major difficulty to include it inoptimization. In this paper, we prove the rainflow cycle-based cost is convex.Convexity enables the proposed degradation model to be incorporated indifferent battery optimization problems and guarantees the solution quality. Weprovide a subgradient algorithm to solve the problem. A case study on PJMregulation market demonstrates the effectiveness of the proposed degradationmodel in maximizing the battery operating profits as well as extending itslifetime.
机译:储能计划和运营中至关重要的一个方面是准确建模其运营成本,这主要来自电池的降解。电池退化可被视为基于应力循环的复杂材料疲劳过程。雨流算法是一种在材料疲劳过程中进行循环识别的流行方法,已被广泛用于电池退化评估中。但是,雨流算法没有封闭形式,这使得对其进行优化不成为主要困难。本文证明了基于雨水循环的成本是凸的。凸度使所提出的退化模型可以纳入不同的电池优化问题,并保证了解决方案的质量。我们提供了一种次梯度算法来解决该问题。以PJMregulation市场为例,证明了所提出的降级模型在最大化电池运营利润以及延长其使用寿命方面的有效性。

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