应用离散 PSO 算法优化 VRFB 的并联电流和压力损失

Decebal Aitor Ispas-Gil, E. Zulueta, J. Olarte, Asier Zulueta, U. Fernández-Gámiz
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引用次数: 0

摘要

本文对由 m 个电池堆和每个电池堆 n 个电池组成的钒氧化还原液流电池的电化学、并联电流和水力模型进行了广泛研究。电池的并联电流模型是利用基尔霍夫定律建立的,其中考虑到了可能出现的不同设计情况,并列举了节点方程和网格,以便直接进行软件实施。水力模型是通过数值方法建立的。这些模型同时工作,以模拟 VRFB 电池在充电和放电过程中的行为,获得电池中出现的压力损失和并联电流。利用这些模型,并使用专门为离散变量设计的 PSO 类型优化算法,对电池设计进行优化,以最大限度地减少压力损失和并联电流造成的往返效率损失。在优化电池设计时,要重视电池组中电池总数分布的电池堆数量,以及相对于电池堆和电池的管道尺寸。
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Optimization of the Shunt Currents and Pressure Losses of a VRFB by Applying a Discrete PSO Algorithm
This paper presents an extensive study on the electrochemical, shunt currents, and hydraulic modeling of a vanadium redox flow battery of m stacks and n cells per stack. The shunt currents model of the battery has been developed through the use of Kirchoff’s laws, taking into account the different design cases that can occur and enumerating the equations of nodes and meshes specifying them so that the software implementation can be performed in a direct way. The hydraulic model has been developed by numerical methods. These models are put to work simultaneously in order to simulate the behavior of a VRFB battery during charging and discharging, obtaining the pressure losses and shunt currents that occur in the battery. Using these models, and by using a PSO-type optimization algorithm, specifically designed for discrete variables, the battery design is optimized in order to minimize the round-trip efficiency losses due to pressure losses and shunt currents. In the optimization of the battery design, value is given to the number of stacks in which the total number of cells in the battery is distributed and the dimensions of the piping relative to both the stacks and the cells.
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