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面向电网调频应用的电池储能电源仿真模型
引用本文:黄际元,李欣然,曹一家,张晴,刘卫健. 面向电网调频应用的电池储能电源仿真模型[J]. 电力系统自动化, 2015, 39(18): 20-24
作者姓名:黄际元  李欣然  曹一家  张晴  刘卫健
作者单位:湖南大学电气与信息工程学院, 湖南省长沙市 410082,湖南大学电气与信息工程学院, 湖南省长沙市 410082,湖南大学电气与信息工程学院, 湖南省长沙市 410082,湖南大学电气与信息工程学院, 湖南省长沙市 410082,湖南大学电气与信息工程学院, 湖南省长沙市 410082
基金项目:国家重点基础研究发展计划(973计划)资助项目(2012CB215106);国家自然科学基金资助项目(51477043)。
摘    要:对面向电网调频的电池储能电源模型展开了研究。首先,通过深入分析调频工况的幅值和充放电频率特点,总结了电池储能电源的出力特征;然后,介绍了电池储能电源电磁暂态模型的形成过程,在此基础上,提出了满足调频研究需求的仿真模型及其参数辨识方法;最后,基于多个磷酸铁锂电池的实验数据,采用改进的遗传算法辨识出仿真模型中的参数,并基于调频工况进行了验证分析。分析结果表明,模型仿真数据与实际储能的运行数据及特性相吻合,误差在1%以内,且提出的仿真模型结构合理,可较好地满足一次调频、二次调频以及其他秒级至分钟级的应用需求。

关 键 词:调频   电磁暂态   仿真   磷酸铁锂
收稿时间:2014-10-12
修稿时间:2015-06-30

Battery Energy Storage Power Supply Simulation Model for Power Grid Frequency Regulation
HUANG Jiyuan,LI Xinran,CAO Yiji,ZHANG Qing and LIU Weijian. Battery Energy Storage Power Supply Simulation Model for Power Grid Frequency Regulation[J]. Automation of Electric Power Systems, 2015, 39(18): 20-24
Authors:HUANG Jiyuan  LI Xinran  CAO Yiji  ZHANG Qing  LIU Weijian
Affiliation:College of Electrical and Information Engineering, Hunan University, Changsha 410082, China,College of Electrical and Information Engineering, Hunan University, Changsha 410082, China,College of Electrical and Information Engineering, Hunan University, Changsha 410082, China,College of Electrical and Information Engineering, Hunan University, Changsha 410082, China and College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Abstract:A battery energy storage power supply model for power grid frequency regulation is studied. First, the output characteristics of battery energy storage power are obtained by analyzing the amplitude and charge-discharge frequency characteristics in frequency regulation conditions. Then the process of constructing an electro-magnetic transient (EMT) model of battery energy storage power is presented, based on which a digital simulation model adapted to the needs of frequency regulation research and its parameter identification method are proposed. Finally, based on the multiple sets of experimental data of LiFePO4 batteries, the parameters of the simulation model are identified using an improved genetic algorithm and verified in frequency regulation scenarios. The validation results show that the simulation data of the model fit the actual operating data of the energy storage power with an error less than 1%, and the proposed simulation model has a rational structure that is able to meet the simulation requirements of primary and secondary frequency regulation as well as other applications on a second-minute timescale. This work is supported by National Basic Research Program of China (973 Program) (No. 2012CB215106) and National Natural Science Foundation of China (No. 51477043).
Keywords:frequency regulation   electro-magnetic transient (EMT)   simulation   LiFePO4
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