期刊文献+

基于使用寿命模型的大容量电池储能系统变步长优化控制方法 被引量:24

Variable Step-Size Control Method of Large Capacity Battery Energy Storage System Based on the Life Model
下载PDF
导出
摘要 大容量电池储能系统(BESS)配合风电场调度可以提高风电场的可调性。为了研究延长BESS使用寿命的控制方法,建立了多因素聚合寿命模型,该模型考虑了大容量BESS的串并联特性和充放电特性,能够反映充放电倍率、控制步长、充放电次数和温度等多种因素对电池老化的影响。讨论了BESS控制步长和调度周期对BESS使用寿命和并网跟踪性能的影响,提出了BESS的变步长优化控制方法。设计了模糊变步长控制器,根据当前BESS的充放电倍率和跟踪性能指标实时调节控制步长。算例仿真表明,所提模糊变步长优化控制方法结合了大步长下使用寿命长和小步长下跟踪性能好的优点,并网功率能够较好地跟踪调度指令,实现了风电场的可调性,同时提高了BESS的使用年限。 Battery energy storage system (BESS) can improve the schedule ability of wind power. In order to study the control method of BESS life extension, a multifactor life model is developed considering series/parallel and charge/discharge characteristics of BESS. This proposed model can represent the effects on BESS aging, such as charge/discharge rate, control step-size, charge/discharge time and temperature. A variable step-size control method is proposed, after discussing the effects of the control step-size and the dispatch period on BESS life and the fluctuation index. A fuzzy variable step-size controller is designed to adjust the step-size according to charge/discharge rate and fluctuation index. Results indicate that the proposed control strategy combines the longer life feature under large step-size with less volatile feature under small step-size, which enables the power injected to the grid to track the dispatch orders well and the wind farm to be schedulable. Meanwhile, the proposed strategy can improve the life of BESS.
出处 《电工技术学报》 EI CSCD 北大核心 2016年第14期58-66,共9页 Transactions of China Electrotechnical Society
基金 国家科技支撑计划(2013BAA01B04) 上海市科学技术委员会项目(11dz1210300) 国网科技合作项目(直流电网用高压DC/DC变换器前期技术研究)资助
关键词 电池储能系统 储能系统寿命 风储调度 控制步长 模糊控制 Battery energy storage system storage system life wind storage dispatch control step-size fuzzy control
  • 相关文献

参考文献16

  • 1Khalid M, Savkin A V. A model predictive controlapproach to the problem of wind power smoothingwith controlled battery storage[J]. Renewable Energy,2010, 35(7): 1520-1526.
  • 2熊雄,杨仁刚,叶林,李建林.电力需求侧大规模储能系统经济性评估[J].电工技术学报,2013,28(9):224-230. 被引量:88
  • 3Rabiee A, Khorramdel H, Aghaei J. A review ofenergy storage systems in microgrids with wind turbines[J]. Renewable and Sustainable Energy Reviews,2013, 18(1): 316-326.
  • 4Dicorato M, Forte G, Pisani M, et al. Planning andoperating combined wind-storage system in electricitymarket[J]. IEEE Transactions on SustainableEnergy, 2012, 3(2): 209-217.
  • 5Perez E, Beltran H, Aparicio N, et al. Predictivepower control for PV plants with energy storage[J].IEEE Transactions on Sustainable Energy, 2013, 4(2):482-490.
  • 6丁明,吴建锋,朱承治,赵波,陈自年,罗亚桥.具备荷电状态调节功能的储能系统实时平滑控制策略[J].中国电机工程学报,2013,33(1):22-29. 被引量:100
  • 7Li X. Fuzzy adaptive Kalman filter for wind poweroutput smoothing with battery energy storage system[J].IET Renewable Power Generation, 2012, 6(5): 340-347.
  • 8Liu X, Aichhorn A, Liu L, et al. Coordinated controlof distributed energy storage system with tap changertransformers for voltage rise mitigation under highphotovoltaic penetration[J]. IEEE Transactions onSmart Grid, 2012, 3(2): 897-906.
  • 9鲍冠南,陆超,袁志昌,韩英铎.基于动态规划的电池储能系统削峰填谷实时优化[J].电力系统自动化,2012,36(12):11-16. 被引量:115
  • 10吴雄,王秀丽,李骏,郭静丽,张凯,陈洁.风电储能混合系统的联合调度模型及求解[J].中国电机工程学报,2013,33(13):10-17. 被引量:104

二级参考文献73

  • 1张步涵,曾杰,毛承雄,金玉洁,王云玲.电池储能系统在改善并网风电场电能质量和稳定性中的应用[J].电网技术,2006,30(15):54-58. 被引量:227
  • 2李锋,陆一川.大规模风力发电对电力系统的影响[J].中国电力,2006,39(11):80-84. 被引量:83
  • 3唐捷,任震,高志华,陈亮,刘奇.峰谷分时电价的成本效益分析模型及其应用[J].电网技术,2007,31(6):61-66. 被引量:44
  • 4GAUL J, HANDSCHIN E, HOFFMANN W, et al. Establishing a rule base for a hybrid ES/XPS approach to load management[J].IEEE Trans on Power Systems, 1998, 13(1): 86 92.
  • 5MACGILL I F, KAYE R J. Decentralised coordination of power system operation using dual evolutionary programming [J].IEEE Trans on Power Systems, 1999, 14(1): 112-119.
  • 6CAU T D H, KAYE R J. Multiple distributed energy storage scheduling using constructive evolutiofiary programming[C]// Proceedings of IEEE Power Engineering Society International Conference on Power Industry Computer Applications, May 20- 24, 2001, Svdnev, Australia, 402 407.
  • 7CAU T D H, KAYE R J. Evolutionary optimization method for multi-storage hydrothermal scheduling[J]. IEE Proceedings of Generation, Transmission and Distribution, 2002, 149(2): 152 156.
  • 8CHACRA F A, BASTARD P, FLEURY G, et al. Impact of energy storage costs on economic performance in a distribution substation[J]. IEEE Trans on Power Systems, 2005, 20(2): 684 691.
  • 9LEE T Y. Operating schedule of battery energy storage system in a time of-use rate industrial user with wind turbine generators: a multipass iteration particle swarm optimization approach[J]. IEEE Trans on Energy Conversion, 2007, 22(3) : 774-782.
  • 10FUNG C C, HO S C Y C, NAYAR V. Optimisation of a hybrid energy system using simulated annealing technique [C]// Proceedings of IEEE International Conference on Computer, Communication, Control and Power Engineering: Vol 5, October 19 21, 1993, Beijing, China: 235-238.

共引文献428

同被引文献214

引证文献24

二级引证文献286

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部