发电技术 ›› 2021, Vol. 42 ›› Issue (3): 298-305.DOI: 10.12096/j.2096-4528.pgt.20063

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规模化储能电站电池一致性的统计特性研究

靳文涛1(), 李相俊1,*(), 惠东1(), 李静立2(), 祁万年2(), 吕成渊2()   

  1. 1 新能源与储能运行控制国家重点实验室(中国电力科学研究院有限公司), 北京市 海淀区 100192
    2 青海格尔木鲁能新能源有限公司, 青海省 格尔木市 816000
  • 收稿日期:2020-07-30 出版日期:2021-06-30 发布日期:2021-06-29
  • 通讯作者: 李相俊
  • 作者简介:靳文涛(1987), 男, 硕士, 工程师, 研究方向为可再生能源发电与并网、储能系统集成与控制技术, jinwentao@epri.sgcc.com.com
    惠东(1968), 男, 博士, 教授级高工, 研究方向为大规模储能技术, huidong@epri.sgcc.com.com
    李静立(1971), 男, 硕士, 研究方向为多能源互补协调控制技术、储能集成控制与高效运行技术, ljlcn@vip.163.com
    祁万年(1973), 男, 硕士, 高级工程师, 研究方向为风电、光伏以及光热、储能等新能源控制技术、多能互补商业模式, qwnljx@163.com
    吕成渊(1989), 男, 硕士, 助理工程师, 研究方向为新能源发电运行控制和协调优化技术, 1044160346@qq.com
  • 基金资助:
    国家电网有限公司科技项目(SGQHDKY0DWJS1800170);青海格尔木鲁能新能源有限公司科技项目(GEMX-FCB-1-QT-17-0066)

Study on Statistical Characteristics of Battery Consistency in Large-scale Energy Storage Power Stations

Wentao JIN1(), Xiangjun LI1,*(), Dong HUI1(), Jingli LI2(), Wannian QI2(), Chengyuan Lü2()   

  1. 1 State Key Laboratory of Control and Operation of Renewable Energy and StorageSystems(China Electric Power Research Institute), Haidian District, Beijing 100192, China
    2 Qinghai Golmud Luneng New Energy Co., Ltd., Golmud 816000, Qinghai Province, China
  • Received:2020-07-30 Published:2021-06-30 Online:2021-06-29
  • Contact: Xiangjun LI
  • Supported by:
    Science and Technology Project of State Grid Corporation of China(SGQHDKY0DWJS1800170);Science and Technology Project of Qinghai Golmud Luneng New Energy Co., Ltd.(GEMX-FCB-1-QT-17-0066)

摘要:

通过串并联方式组成的兆瓦级储能电站在长期运行过程中,将出现电池单体不一致性的问题。由于电压、温度变化特性可直观反映储能电站电池单体间的不一致性,因此利用储能电池极差电压、累计极差电压、电压标准差、极差温度、累计极差温度等指标来分析储能电站电池单体一致性的统计特性。通过长时间尺度电池单体一致性的统计特性分析,结合储能电池现场运行状况,可及时发现可能存在异常的电池单体,为储能电站健康状态评估提供数据支撑,降低储能电站系统性运行风险。

关键词: 储能电站, 电池单体, 一致性, 极差电压

Abstract:

In the long-term operation of MW-level energy storage power stations composed of series and parallel connections, the inconsistency of battery cells will occur. Because the variation characteristics of voltage and temperature can directly reflect the inconsistency between battery cells in energy storage power station, the statistical characteristics of battery cell consistency in energy storage power station were analyzed by using extreme difference voltage, accumulated extreme difference voltage, voltage standard deviation, extreme difference temperature, accumulated extreme difference temperature of energy storage battery. By analyzing the statistical characteristics of the consistency of battery cells on a long-term scale, combined with the on-site operating status of energy storage battery, abnormal battery cells can be found in time, which can provide data support for the health assessment of energy storage power station, and reduce the systematic operation risk of energy storage power station.

Key words: energy storage power station, battery cell, consistency, extreme difference voltage

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