多时间尺度的电池储能系统建模及分析应用  

Modeling and Analysis of Battery Energy Storage Systems in Multi-time Scales Application

作　　者：陆秋瑜[1] 胡伟[1] 郑乐[1] 闵勇[1] 罗卫华[2] 葛维春[2] 王芝茗[2] 闫春生[2] 

机构地区：[1]电力系统及发电设备控制和仿真国家重点实验室(清华大学电机系),北京市海淀区100084 [2]辽宁省电力有限公司,辽宁省沈阳市110006

出　　处：《中国电机工程学报》2013年第16期86-93,14,共8页Proceedings of the CSEE

基　　金：国家高技术研究发展计划(863计划)(2011AA05A112);国家科技支撑计划(2011BAA01B02);国家自然科学基金重大项目(51190101);国家电网公司科技项目;辽宁省电力有限公司科技项目~~

摘　　要：大容量电池储能技术的快速发展及应用为大规模风电的接入与消纳提供了新的解决思路与方法,但电池储能在电力系统应用中的建模问题一直没能得到较好的解决。建立基于戴维南等效电路的电池储能系统仿真模型,并在模型中计及电池荷电状态和充放电电流对模型参数的影响,同时提出基于实验数据拟合模型参数的方法。在此基础上,分析讨论该模型在电力系统不同应用场景中的主导因素,建立适用于多时间尺度的电池储能仿真模型,并通过实测电压电流曲线验证了模型的有效性。最后以平抑风电中长期波动性为例,通过计算机仿真采用戴维南等效电路简化模型的电池储能平抑风电输出波动的效果,并比较与采用常规恒功率模型时的优点及对储能容量规划的影响。The rapid development of battery energy storage technology has provided a new solution for integrating large scale wind power; however, the accurate simulation model for battery energy storage system （BESS） in power system application has not been developed yet. In this paper, a BESS model based on Thevenin circuit was developed. In this model, the model parameters fitting method based on experimental data was proposed, and the influences of state of charge （SOC） and charged/discharged current on model parameters were taken into account. Further, the critical factors in various application scenarios were analyzed to facilitate the proposed model to be feasible in multiple time scales. The effectiveness of the presented model was verified by the measured voltage and current data. Finally, the model was applied to alleviate low frequency wind power volatility to test the control effect of BESS, and the advantages and disadvantages of different models and their impacts on BESS capacity allocation was further discussed.

关 键 词：电池储能 多时间尺度电池模型 参数拟合 风电波动平抑 容量规划 

分 类 号：TM74[电气工程—电力系统及自动化]