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调峰/调频模式下储能电池热仿真与实验研究
引用本文:朱沐雨,马宏忠,陈悦林,杨启帆. 调峰/调频模式下储能电池热仿真与实验研究[J]. 科学技术与工程, 2024, 24(15): 6300-6305
作者姓名:朱沐雨  马宏忠  陈悦林  杨启帆
作者单位:河海大学能源与电气学院
基金项目:国网江苏省电力有限公司科技项目(J2022158)
摘    要:为探究储能电池参与电网调峰/调频时的运行状态,根据江苏镇江储能电站的实际运行工况,通过有限元仿真的方法建立了磷酸铁锂储能电池模组热模型。进一步设计了电池调峰/调频循环老化实验,分析早期容量衰减和温度变化数据,验证仿真的温度分布,并得出调峰/调频模式下的运行规律。结果表明:调峰模式平均电流倍率大,电池温度维持在更高的区间,最大温差远高于调频,在同等放电容量下电池寿命衰减更明显;仿真能较好地反映模组内部均温变化趋势,误差均低于1.8 ℃,满足预测精度,可为储能电站的初期投运提供安全设计基础。

关 键 词:磷酸铁锂储能电池   调峰调频   有限元仿真   温度场
收稿时间:2023-07-19
修稿时间:2024-02-28

Thermal simulation and experimental research on energy storage batteries in peak shaving/frequency modulation mode
Zhu Muyu,Ma Hongzhong,Chen Yuelin,Yang Qifan. Thermal simulation and experimental research on energy storage batteries in peak shaving/frequency modulation mode[J]. Science Technology and Engineering, 2024, 24(15): 6300-6305
Authors:Zhu Muyu  Ma Hongzhong  Chen Yuelin  Yang Qifan
Affiliation:School of Energy and Electrical Engineering, Hohai University
Abstract:In order to explore the operation status of the energy storage battery when participating in the peak shaving/frequency modulation of the power grid, according to the actual operation condition of an energy storage power station in Zhenjiang, Jiangsu, a thermal model of the Lithium iron phosphate energy storage battery module was established through finite element simulation. The experimental study of peak/frequency modulation cycle was further carried out, and the early capacity attenuation and temperature change data were analyzed to verify the temperature distribution of the simulation, and the operation rule under the mode of peak/frequency modulation is obtained. The results show that the average current ratio of the peak-loading mode is large, the battery temperature is maintained in a higher range, the maximum temperature difference is much higher than that of the frequency modulation mode, and the battery life attenuation is more obvious under the same charge-discharge capacity. The simulation can well reflect the variation trend of the internal mean temperature of the module, and the error is lower than 1.8 ℃, which meets the prediction accuracy, and can provide a safe design basis for the initial operation of the energy storage power station.
Keywords:LiFePO4 energy storage battery  ?? peak shaving and frequency modulation   ? finite element simulation   ? temperature field
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