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用于电力系统经济性分析的锂离子电池精确建模
Accurate Modeling of Lithium-Ion Batteries for Power System Economics
| 作者 | Vedran Bobanac · Hrvoje Pandžić · Hrvoje Bašić |
| 期刊 | IEEE Transactions on Power Systems |
| 出版日期 | 2024年6月 |
| 技术分类 | 储能系统技术 |
| 技术标签 | 储能系统 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | 电池储能模型 锂离子电池 充放电效率 充电曲线 日前市场调度 |
语言:
中文摘要
本文提出了一种可用于各种电力系统研究的实用线性电池储能模型。所提出的确定模型参数的方法基于对四种不同技术的锂离子电池进行实验所获得的数据。该模型本身考虑了两个重要但常被忽视的电池特性:(i)可变的充放电能量效率;(ii)非线性的充电曲线。将所提出的模型与三种简化模型进行了比较,这三种简化模型仅考虑了上述两种电池特性中的一种或都未考虑。为证明该模型在实际中的适用性和优势,使用这四种模型来制定电池储能的最优日前市场调度计划,并利用专用试验台对所制定调度计划的可行性进行了实验验证。除了提出该模型之外,本文还为研究界提供了四种最常见的锂离子电池技术(钴酸锂(LCO)、磷酸铁锂(LFP)、钛酸锂(LTO)和镍锰钴酸锂(NMC))的电池参数。
English Abstract
This paper presents a realistic yet linear model of battery energy storage to be used for various power system studies. The presented methodology for determining model parameters is based on experimental data obtained on lithium-ion cells of four different technologies. The model itself takes into account two important, but often neglected battery characteristics: (i) variable energy charging/discharging efficiency, and (ii) nonlinear energy charging curve. The proposed model is compared with three simplified models, taking into account only one or zero of the above two mentioned battery characteristics. To prove the applicability and advantages in practice, all four models are used to obtain the optimal day-ahead market schedules of a battery storage and the feasibility of the obtained schedules is experimentally validated using a dedicated testbed. On top of the proposed model, this paper contributes to the community by providing battery parameters for the four most common lithium-ion technologies: LCO, LFP, LTO and NMC.
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SunView 深度解读
该锂离子电池精确建模技术对阳光电源ST系列储能变流器和PowerTitan大型储能系统具有重要应用价值。模型的线性化特性可直接集成到iSolarCloud云平台的优化调度算法中,提升储能系统经济性评估精度。考虑容量衰减、库仑效率和温度影响的建模方法,可优化ST储能变流器的充放电策略,延长电池寿命并降低LCOS(平准化储能成本)。该系统化参数确定方法可应用于ESS集成方案的全生命周期管理,结合智能诊断功能实现预测性维护,为光储一体化项目的投资回报分析提供更准确的技术支撑,增强阳光电源在储能系统经济性优化领域的竞争力。