基于电池储能系统寿命的SOC反馈的自适应电厂调频策略

丁佳欣; 罗日忠; 何毅; 楼波; 陈世桐; 周波; 郑国

doi:10.19805/j.cnki.jcspe.2025.230766

欢迎来到能源电力期刊网！

English Version 读者登录期刊登录

您当前的位置：

首页 >

文章列表页 >

基于电池储能系统寿命的SOC反馈的自适应电厂调频策略

新能源与储能 | 更新时间：2026-02-02

- 基于电池储能系统寿命的SOC反馈的自适应电厂调频策略
- Adaptive Frequency Modulation Strategy of Power Plant Based on SOC Feedback of Battery Energy Storage System Life
- 动力工程学报 2025年45卷第3期页码：391-398
- 作者机构：
  
  1. 华南理工大学电力学院,广东,广州,510640
  2. 湛江电力有限公司,广东,湛江,524000
- 作者简介：
  
  [ "丁佳欣(1999—),女,浙江湖州人,硕士研究生,研究方向为储能辅助火电机组调频,E-mail:tudoudjx@163.com" ]
- 基金信息：
  
  广东省能源集团资助项目(ZJP-PK-23001)
- DOI：10.19805/j.cnki.jcspe.2025.230766
  中图分类号： TM912;TM62
- 网络出版：2025-03-15，
  
  纸质出版：2025
- 稿件说明：
移动端阅览
丁佳欣,罗日忠,何毅,楼波,陈世桐,周波,郑国. 基于电池储能系统寿命的SOC反馈的自适应电厂调频策略动力工程学报, 2025, 45(3): 391-398 https://doi.

org/10.19805/j.cnki.jcspe.2025.230766
丁佳欣,罗日忠,何毅,楼波,陈世桐,周波,郑国. 基于电池储能系统寿命的SOC反馈的自适应电厂调频策略动力工程学报, 2025, 45(3): 391-398 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.230766.

org/10.19805/j.cnki.jcspe.2025.230766 DOI：

摘要

电池储能系统凭借功率输出精确、响应速度快、双向调节等优势

广泛应用于电力系统的调频调峰

但其使用寿命仍是储能系统的核心问题。采用基于电池荷电状态(SOC)反馈的自适应综合调频策略

由模糊控制器调节输入系数和储能电池荷电状态调节反馈系数共同确定自适应因子

输入系数由虚拟惯性控制和虚拟下垂控制的调频出力占比系数

决定。通过Matlab/Simulink平台搭建仿真模型并采用某电厂调频电池的实际运行数据进行了不同控制策略的研究

并利用雨流计数法预测储能电池的使用寿命。结果表明:自适应综合调频策略比目前电厂所用策略下电池的寿命提高25.53%

较定

法和变

法的使用寿命分别提高了38.19%和22.42%。

Abstract

Battery energy storage systems are widely used in frequency and peak regulation of power systems due to their advantages of accurate power output

fast response speed

and two-way regulation

but their service life is still the core restriction of energy storage systems. The adaptive comprehensive frequency modulation strategy based on battery state-of-charge (SOC) feedback was adopted. The adaptive factor was determined by the input coefficient of the fuzzy controller adjustment and the feedback coefficient of energy storage battery SOC adjustment

and the input coefficient was determined by the frequency modulation output proportion co

efficient (

) of virtual inertial control and virtual droop control. The simulation model was developed with the Matlab/Simulink platform

and the actual operation data of the frequency modulation battery of a power plant was used to study different control strategies. The rain-flow counting method was used to predict the service life of energy storage batteries. Results show that the battery life with the adaptive integrated frequency modulation strategy is 25.53% higher than that with the current strategy used in power plants

and the service life is increased by 38.19% and 22.42% compared with the fixed

method and variable

method

respectively.

关键词

Keywords

references

张圣祺, 袁蓓, 徐青山, 等. 规模化储能参与下的电网二次调频优化控制策略[J]. 电力自动化设备, 2019, 39(5): 82-88, 95. ZHANG Shengqi, YUAN Bei, XU Qingshan, et al. Optimal control strategy of secondary frequency regulation for power grid with large-scale energy storages[J]. Electric Power Automation Equipment, 2019, 39(5): 82-88, 95.

李佳佳, 李兴朔, 周国文, 等. 先进储能型燃煤热电联产系统热力特性及灵活性分析[J]. 动力工程学报, 2023, 43(2): 205-213. LI Jiajia, LI Xingshuo, ZHOU Guowen, et al.Thermodynamics and flexibility analysis of a novel coal-fired CHP-CAES system[J]. Journal of Chinese Society of Power Engineering, 2023, 43(2): 205-213.

张磊, 郭语, 石嘉豪, 等. 风火储一体化电站功率特性研究[J]. 动力工程学报, 2022, 42(6): 568-574, 581. ZHANG Lei, GUO Yu, SHI Jiahao, et al. Study on power characteristics of wind-coal-battery coupling integrated power station[J]. Journal of Chinese Society of Power Engineering, 2022, 42(6): 568-574, 581.

TURK A, SANDELIC M, NOTO G, et al. Primary frequency regulation supported by battery storage systems in power system dominated by renewable energy sources[J]. The Journal of Engineering, 2019, 2019(18): 4986-4990.

姚路锦, 王玮, 蔡玮, 等. 提升风电调频性能的源储协同控制策略[J]. 动力工程学报, 2023, 43(2): 126-135, 193. YAO Lujin, WANG Wei, CAI Wei, et al. Cooperative control strategy of source and storage for improving frequency regulation performance of wind power[J]. Journal of Chinese Society of Power Engineering, 2023, 43(2): 126-135, 193.

黄际元, 李欣然, 曹一家, 等. 考虑储能参与快速调频动作时机与深度的容量配置方法[J]. 电工技术学报, 2015, 30(12): 454-464. HUANG Jiyuan, LI Xinran, CAO Yijia, et al.Capacity allocation of energy storage system considering its action moment and output depth in rapid frequency regulation[J]. Transactions of China Electrotechnical Society, 2015, 30(12): 454-464.

吴启帆, 宋新立, 张静冉, 等. 电池储能参与电网一次调频的自适应综合控制策略研究[J]. 电网技术, 2020, 44(10): 3829-3836. WU Qifan, SONG Xinli, ZHANG Jingran, et al. Study on self-adaptation comprehensive strategy of battery energy storage in primary frequency regulation of power grid[J]. Power System Technology, 2020, 44(10): 3829-3836.

李军徽, 侯涛, 穆钢, 等. 基于权重因子和荷电状态恢复的储能系统参与一次调频策略[J]. 电力系统自动化, 2020, 44(19): 63-72. LI Junhui, HOU Tao, MU Gang, et al. Primary frequency regulation strategy with energy storage system based on weight factors and state of charge recovery[J]. Automation of Electric Power Systems, 2020, 44(19): 63-72.

叶笑冬, 陆宇, 王子健, 等. 从工业4.0看储能系统锂电池寿命的预测[J]. 上海电气技术, 2015, 8(1): 1-3, 35. YE Xiaodong, LU Yu, WANG Zijian, et al.Predication of lithium battery life in the energy storage system from the view of industry 4.0[J]. Journal of Shanghai Electric Technology, 2015, 8(1): 1-3, 35.

HE Guannan, CHEN Qixin, KANG Chongqing, et al. Optimal bidding strategy of battery storage in power markets considering performance-based regulation and battery cycle life[J]. IEEE Transactions on Smart Grid, 2016, 7(5): 2359-2367.

杨晶晶, 王建国, 马建生, 等. 计及微电网储能系统寿命损耗的容量配置[J]. 山东电力技术, 2017, 44(11): 11-16. YANG Jingjing, WANG Jianguo, MA Jiansheng, et al. Capacity allocation of energy storage system for microgrid considering the life loss[J]. Shandong Electric Power, 2017, 44(11): 11-16.

王荔妍, 陈启鑫, 何冠楠, 等. 考虑电池储能寿命模型的发电计划优化[J]. 电力系统自动化, 2019, 43(8): 93-100. WANG Liyan, CHEN Qixin, HE Guannan, et al.Optimization of generation scheduling considering battery energy storage life model[J]. Automation of Electric Power Systems, 2019, 43(8): 93-100.

WANG J, PUREWAL J, LIU Ping, et al. Degradation of lithium ion batteries employing graphite negatives and nickel-cobalt-manganese oxide+spinel manganese oxide positives: part 1, aging mechanisms and life estimation[J]. Journal of Power Sources, 2014, 269: 937-948.

肖浩, 裴玮, 孔力. 基于模型预测控制的微电网多时间尺度协调优化调度[J]. 电力系统自动化, 2016, 40(18): 7-14, 55. XIAO Hao, PEI Wei, KONG Li. Multi-time scale coordinated optimal dispatch of microgrid based on model predictive control[J]. Automation of Electric Power Systems, 2016, 40(18): 7-14, 55.

李文超, 童亦斌, 张维戈. 计及电池使用寿命的电动汽车充电站储能容量配置方法[J]. 电工电能新技术, 2019, 38(4): 55-63. LI Wenchao, TONG Yibin, ZHANG Weige. Energy storage capacity allocation method of electric vehicle charging station considering battery life[J]. Advanced Technology of Electrical Engineering and Energy, 2019, 38(4): 55-63.

王育飞, 杨铭诚, 薛花, 等. 计及SOC的电池储能系统一次调频自适应综合控制策略[J]. 电力自动化设备, 2021, 41(10): 192-198, 219. WANG Yufei, YANG Mingcheng, XUE Hua, et al. Self-adaptive integrated control strategy of battery energy storage system considering SOC for primary frequency regulation[J]. Electric Power Automation Equipment, 2021, 41(10): 192-198, 219.

李超. 基于功率谱密度的疲劳寿命估算[J]. 机械设计与研究, 2005, 21(2): 6-8. LI Chao. A approach based on power spectral density for fatigue life estimation[J]. Machine Design and Research, 2005, 21(2): 6-8.

崔曦文. 电池储能电源辅助电网一次调频的控制模型与策略研究[D]. 长沙: 湖南大学, 2019.

中华人民共和国国家质量监督检验检疫总局, 中国国家标准化管理委员会. 电能质量电力系统频率偏差: GB/T 15945—2008[S]. 北京: 中国标准出版社, 2008.

亢梦婕, 徐晔, 王金全, 等. 脉冲负载条件下基于雨流计数法的储能电池寿命预测[J]. 微型机与应用, 2017, 36(16): 84-87, 91. KANG Mengjie, XU Ye, WANG Jinquan, et al.Prediction of battery life in energy storage system based on rain flow count method under pulsed load situation[J]. Microcomputer & Its Applications, 2017, 36(16): 84-87, 91.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

暂无数据