A Model for the State of Charge of a Battery Connected to a Wind Power Plant Under a Ramp Rate Limitation Regime

Pub Date : 2022-07-27 DOI:10.13052/jrss0974-8024.1522
G. D’Amico, F. Gismondi, Salvatore Vergine
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引用次数: 2

Abstract

In this paper, the expected value of the first hitting time of a threshold of the state of charge of a battery is investigated. The model considers a battery storage system connected to a wind power plant under a ramp rate limitation scheme. The level of charge in the battery is the result of operations that are modelled by a Markov chain model with random rewards. The Markov chain and reward characteristics do depend on the considered ramp rate limitation scheme that the wind power producer has to respect in order to guarantee a quasi-stable output power to the grid. In this paper, we derive a system of integral equations for the hitting time of the state of charge of the battery and the application to real data validates the analytical results.
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斜坡速率限制下与风力发电厂连接的电池充电状态模型
本文研究了电池充电状态阈值的首次命中时间的期望值。该模型考虑了在斜坡速率限制方案下连接到风力发电厂的电池存储系统。电池中的电荷水平是由具有随机奖励的马尔可夫链模型建模的操作的结果。马尔可夫链和奖励特性确实取决于所考虑的斜坡率限制方案,风电生产商必须遵守该方案,以确保向电网输出准稳定的功率。在本文中,我们导出了电池充电状态的碰撞时间的积分方程组,并将其应用于实际数据验证了分析结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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