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储能锂电池模组SoE运行区间评估方法研究 被引量:4

Research on Evaluation Method of So E Operation Region for Energy Storage Lithium Battery Module
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摘要 为提高电池储能单元控制精度,保证储能系统高效稳定运行,研究了储能锂电池模组能量状态(state of energy,SoE)运行区间。在分析跟踪计划发电、风光功率平滑运行模拟工况,以及电池电压极差、电池电压标准差系数等评估指标的基础上,提出了储能锂电池模组SoE运行区间评估方法。然后,对实际运行的锂电池模组进行了跟踪计划发电、风光功率平滑模拟工况试验,并通过分析电池电压极差、电池电压标准差系数的变化,确定了2种运行工况下锂电池模组的SoE运行区间。研究结果表明,采用分析模拟工况试验中电池电压极差、电池电压标准差系数的方法能有效评估储能锂电池模组的SoE运行区间,为提高储能单元能量利用率提供了技术手段,对于保证锂电池储能系统高效稳定运行具有指导意义。 The state of energy(SoE)operation region of energy storage lithium battery module was studied in order to improve the control precision and ensure the efficient and stable operation of the battery energy storage system.Base on the analysis of the simulated operating condition of tracking power generation schedule and wind-PV power stabilization,as well as the evaluation indicators,such as range and coefficient of standard deviation of battery voltage,the evaluation method of the SoE operation region for the energy storage lithium battery module was put forward.The actual energy storage lithium battery module was tested in the simulation experiment of tracking power generation schedule and wind-PV power stabilization.The SOE operation range of the lithium battery module under the two operating conditions was determined by analyzing the variation of the battery voltage range and the standard deviation coefficient of the battery voltage.The result show that the SoE operation region of the energy storage lithium battery module can be confirmed effectively according to the range and coefficient of standard deviation of battery voltage in the simulated operation experiment.It provides technical means for the energy utilization improvement of energy storage unit,and it has guiding significance to ensure the lithium BESS running efficiency and stability.
作者 陈豪 翟化欣 王开让 杨俊丰 巩宇 CHEN Hao;ZHAI Huaxin;WANG Kairang;YANG Junfeng;GONG Yu(Power Research Institute of State Grid Jibei Electric Power Company Limited,Xicheng District,Beijing 100045,China;State Grid Xinyuan Zhangjiakou Wind Power and Photovoltaic and Energy Storage Demonstration Station Co.,Ltd.,Zhangjiakou 075000,Hebei Province,China)
出处 《发电技术》 2019年第6期587-597,共11页 Power Generation Technology
基金 国家电网公司科技项目(52010119002F)~~
关键词 储能 锂电池模组 能量状态 跟踪计划发电 风光功率平滑 电池电压极差 电池电压标准差系数 energy storage lithium battery module state of energy tracking power generation schedule wind-PV power stabilization range of battery voltage coefficient of standard deviation of battery voltage
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