规模化储能电站电池一致性的统计特性研究

靳文涛; 李相俊; 惠东; 李静立; 祁万年; 吕成渊

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

能源互联网 | 更新时间：2025-07-04

- 规模化储能电站电池一致性的统计特性研究
- Study on Statistical Characteristics of Battery Consistency in Large-scale Energy Storage Power Stations
- 发电技术 2021年42卷第3期页码：298-305
- 作者机构：
  
  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
- 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" ]
  李相俊(1979), 男, 博士, 教授级高工, 研究方向为大规模储能技术、分布式发电, 本文通信作者, lixiangjun@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" ]
- 基金信息：
  
  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)
- DOI：10.12096/j.2096-4528.pgt.20063
  中图分类号： TK02;TM912
- 收稿：2020-07-30，
  
  纸质出版：2021-06-30
- 稿件说明：
移动端阅览
靳文涛, 李相俊, 惠东, 等. 规模化储能电站电池一致性的统计特性研究[J]. 发电技术, 2021,42(3):298-305.

Wentao JIN, Xiangjun LI, Dong HUI, et al. Study on Statistical Characteristics of Battery Consistency in Large-scale Energy Storage Power Stations[J]. Power Generation Technology, 2021, 42(3): 298-305.
靳文涛, 李相俊, 惠东, 等. 规模化储能电站电池一致性的统计特性研究[J]. 发电技术, 2021,42(3):298-305. DOI： 10.12096/j.2096-4528.pgt.20063.

Wentao JIN, Xiangjun LI, Dong HUI, et al. Study on Statistical Characteristics of Battery Consistency in Large-scale Energy Storage Power Stations[J]. Power Generation Technology, 2021, 42(3): 298-305. DOI： 10.12096/j.2096-4528.pgt.20063.

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。

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.

关键词

Keywords

references

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