田刚领, 叶晖, 谢佳, 张柳丽, 崔美琨, 李爱魁. 锂离子电池储能电站能耗优化[J]. 高电压技术, 2023, 49(3): 1118-1127. DOI: 10.13336/j.1003-6520.hve.20220895
引用本文: 田刚领, 叶晖, 谢佳, 张柳丽, 崔美琨, 李爱魁. 锂离子电池储能电站能耗优化[J]. 高电压技术, 2023, 49(3): 1118-1127. DOI: 10.13336/j.1003-6520.hve.20220895
TIAN Gangling, YE Hui, XIE Jia, ZHANG Liuli, CUI Meikun, LI Aikui. Energy Consumption Optimization of Lithium-ion Battery Storage Power Station[J]. High Voltage Engineering, 2023, 49(3): 1118-1127. DOI: 10.13336/j.1003-6520.hve.20220895
Citation: TIAN Gangling, YE Hui, XIE Jia, ZHANG Liuli, CUI Meikun, LI Aikui. Energy Consumption Optimization of Lithium-ion Battery Storage Power Station[J]. High Voltage Engineering, 2023, 49(3): 1118-1127. DOI: 10.13336/j.1003-6520.hve.20220895

锂离子电池储能电站能耗优化

Energy Consumption Optimization of Lithium-ion Battery Storage Power Station

  • 摘要: 储能电站能耗预估与优化是提高电站能量效率及经济性的关键技术。因此,分析了电化学储能电站运行过程中电池模块、储能变流器(power conversion system,PCS)、变压器及辅助用电系统工作特性和能耗规律,并建立了储能单元和辅助用电系统的能耗模型。在负荷率基础上,储能单元和辅电系统的能耗模型加入电流、温度等特征量,以适应储能电站的多工况应用场景,提高模型用于能耗预估的准确性,并通过某地区电网侧百兆瓦级储能电站进行了应用验证。结果表明,所建立能耗模型与真实数据间的相对误差均值为0.6%,可有效估算储能电站能效水平。对比现有电站策略,在低于50%负荷率工况下,基于能耗模型的功率分配策略可提高储能电站能量效率0.6%~10.7%,通过减少电站能耗有效提升了电站运行经济性。

     

    Abstract: Energy consumption estimation and optimization of energy storage power stations are the key technologies to improve the energy efficiency and economy of power stations. This paper analyzes the working characteristics and energy consumption rules of battery system, energy storage PCS, transformer and auxiliary power consumption system during the operation of electrochemical energy storage power station, and establishes the energy consumption model of energy storage unit and auxiliary power consumption system. On the basis of the load rate, characteristic quantities such as current and temperature are introdued into the energy consumption model of the energy storage unit and auxiliary power system to adapt to the multi-condition application scenarios of the energy storage power station, and to improve the accuracy of the model for energy consumption estimation; meanwhile, the model has been applied and verified in a 100-megawatt energy storage power station on the grid side in a certain region. The results show that the average error between the energy consumption model established in this paper and the real data is 0.6%, which can effectively estimate the energy efficiency level of the energy storage power station. Compared with the existing power station strategies, when the load rate is lower than 50%, the power distribution strategy based on the energy consumption model can improve the energy efficiency of the energy storage power station by 0.6%~10.7%, and effectively improve the operating economy of the power station by reducing the energy consumption of the power station.

     

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