面向调频的锂电池储能建模及仿真分析
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(1.储能技术工程研究中心(北方工业大学),北京 100144; 2.国网江西省电力有限公司电力科学研究院,江西 南昌 330096)

作者简介:

李建林(1975—),男,博士,教授,研究方向为大规模储能技术;E-mail: dkyljl@163.com 郭兆东(1997—),男,通信作者,硕士研究生,研究方向为大规模储能技术;E-mail: 2806223793@qq.com 曾 伟(1979—),男,博士,高级工程师,主要研究方向为新能源及储能技术。E-mail: ZEJXDKY@163.com

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基金项目:

北京市自然科学基金项目资助(21JC0026);国网江西省电力有限公司科技项目资助(52182020008K)


Modeling and simulation analysis of lithium battery energy storage oriented to frequency modulation
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(1. Energy Storage Technology Engineering Research Center (North China University of Technology), Beijing 100144, China; 2. State Grid Jiangxi Electric Power Co., Ltd. Electric Power Research Institute, Nanchang 330096, China)

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    摘要:

    “双碳”目标的提出,确定了我国能源转型的战略方向,给可再生能源并网提供了契机和动力。但随着高比例的可再生能源发电并网,新型电力系统频率波动特性及调控趋于复杂,调频难度进一步增大,以至于传统调频方式无法满足新型电力系统调频需要,而锂电池储能因具有充放电功率快速、精准的特性,可以解决以上问题。因此,以锂电池储能戴维南等效模型为基础,建立了一个考虑容量衰减、环境温度、电流倍率等影响的电池单体的改进模型。同时给出了模型参数的辨识方法以及辨识理论和其他方面对参数的影响,根据这些因素构成了一种面向调频的锂电池SOC的估计方法。最后通过Matlab的仿真对储能电池的模型进行了验证。仿真表明,该模型准确性较高,可以实现对储能锂电池的SOC等特性的实时估计。

    Abstract:

    The “dual-carbon” target determines the strategic direction of China’s energy transition and provides opportunities and impetus for the grid connection of renewable energy. However, with a high proportion of renewable energy generation connected to the grid, the frequency fluctuation characteristics and regulation of the new power system become increasingly complex. Also the difficulty of frequency modulation has further increased, so that traditional frequency modulation methods cannot meet the needs of new power systems. Lithium battery energy storage can solve the above problems with its fast and accurate charging and discharging. Therefore, based on the Thevenin equivalent model of lithium battery energy storage, an improved battery cell model considering the influence of capacity attenuation, ambient temperature, current rate, etc., is established. At the same time, the identification method and theory of model parameters are given. In terms of the impact on the parameters, a method for FM-oriented lithium battery SOC estimation is formed based on these factors. Finally, the model of the energy storage battery is verified by Matlab simulation. Simulation shows that the model has high accuracy and can realize real-time estimation of SOC and other characteristics of energy storage lithium batteries. This work is supported by Beijing Natural Science Foundation Project (No. 21JC0026).

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引用本文

李建林,郭兆东,曾 伟,等.面向调频的锂电池储能建模及仿真分析[J].电力系统保护与控制,2022,50(13):33-42.[LI Jianlin, GUO Zhaodong, ZENG Wei, et al. Modeling and simulation analysis of lithium battery energy storage oriented to frequency modulation[J]. Power System Protection and Control,2022,V50(13):33-42]

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  • 收稿日期:2021-11-17
  • 最后修改日期:2022-02-23
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  • 在线发布日期: 2022-07-01
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