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计及自恢复效应的电池容量利用率提升策略

Capacity utilization improvement strategy of battery energy storage unit considering self-recovery effect
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摘要 为充分利用分布式电池储能单元(Distributed Battery Energy Storage Units,DBESU)的自恢复效应,延长DBESU放电时间和提高DBESU容量利用率,提出一种计及自恢复效应的电池储能单元容量利用率提升策略。在DBESU工作在非连续模式放电场景下,该策略可控制荷电状态(State-of-Charge,SOC)低的DBESU停机,利用自恢复效应进行SOC恢复;可控制SOC高的DBESU继续工作以便支持负荷及调压调频。该策略在提高孤岛微电网DBESU容量利用率的同时,延长了DBESU的放电时间。最后,不同方案的仿真对比结果验证了本研究方案的有效性和先进性。 In order to make full use of the self-recovery effect of the distributed energy storage units,prolong the discharge time and improve capacity utilization of the DBESU,a capacity utilization improvement strategy of battery energy storage unit considering self-recovery effect is proposed.This scheme can make the DBESU with low SOC shutdown,make SOC recover self-recovery effect,and keep the DBESU working with high SOC so as to support the load,voltage and frequency regulation.This strategy improves the capacity utilization of the DBESU in island micro-grid and prolongs its discharge time.Finally,the simulation results of different schemes verify the effectiveness and advancement of the scheme.
作者 董佳 王志强 吴青峰 褚晓林 王晓辉 DONG Jia;WANG Zhi-qiang;WU Qing-feng;ZHU Xiao-lin;WANG Xiao-hui(Hebei Information Security Certification Technology Innovation Center,Institute of Applied Mathematics,Hebei Academy of Sciences,Shijiazhuang Hebei 050081,China;School of Electronic Information Engineering,Taiyuan University of Science and Technology,Taiyuan Shanxi 030024,China;Shijiazhuang Electricity Services Department,China Railway Bejing Burean Group Co.,Ltd,Shijiazhuang Hebei 050000,China)
出处 《河北省科学院学报》 CAS 2022年第4期31-36,共6页 Journal of The Hebei Academy of Sciences
关键词 微电网 分布式储能单元 能量利用率 自恢复效应 Micro-grid Distributed battery energy storage units Energy utilization Self-recovery effect
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  • 1M. Chen and G. A. Rincon - Mora, "Accurate electrical battery model capable of predicting runtime and iv performance, " [ C ] IEEE transactions on energy conversion, 2006(21 ) : 504 - 511.
  • 2F. Zhang, D. M. Fratantoni, D. Paley, J. Lund, and N. E. Leon- ard, Control of coordinated patterns for ocean sampling[ J ], Interna- tional Journal of Control, 2007, 80(7 ) : 1186 - 1199.
  • 3F. Xia and Y. Sun, "Control - scheduling co - design : A perspective on integrating control and computing," in Dynamics of Continuous, Discrete and Impulsive Systems - Series B: Applications and Algo- rithms, Special Issue on ICSCA' 06. Rome, Italy: Watam Press, 2006:1352 - 1358.
  • 4X. Liu, Q. Wang, W. He, M. Caccamo, and L. Sha, "Optimal real - time sampling rate assignment for wireless sensor networks," [ Z ] ACM Transactions on Sensor Networks (TOSN), 2006, 2(2) : 263 -295.
  • 5Kim, H. , and Shin, K. G. On dynamic reconfiguration of a large- scale battery system. In Proceedings of the 15th IEEE Symposium on Real- Time and Embedded Technology and Applications (Washing- ton, DC, USA, 2009) [ C ]. IEEE Computer Society, 2009 : 87 - 96.
  • 6Coleman, M. , Hurley, W. , and Lee, C. K. An improved battery characterization method using a two - pulse load test [ C ]. IEEE Trans- actions on Energy Conversion, 2008, 23 (2): 708- 713.
  • 7Chen, M. , and Mora, R. Accurate electrical battery model capable of predicting runtime and I - V performance[ C ]. IEEE Transcations on Energy Conversion 21, 2006, 6(2) : 504 -512.
  • 8Zhang, F. , Szwaykowska, K. , Mooney, V. , and Wolf, W. Task scheduling for control oriented requirements for cyber - physical sys- tems[ C]. In Proc. of 29th IEEE Real - Time Systems Symposium ( Barcelona, Spain) , 2008 : 47 - 56.
  • 9Schweighofer, B. , Raab, K. , and Brasseur, G. Modeling of high power automotive batteries by the use of an automated test system [J ]. IEEE Transactions on Instrumentation and Measurement, 2003, 52(4) : 1087 - 1091.
  • 10Jongerden M R,Haverkort B R.Which Battery Model to Use[J].IET Softw, 2009,3 ( 6 ) - 445-457.

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