Energy Storage Science and Technology ›› 2016, Vol. 5 ›› Issue (4): 551-557.doi: 10.12028/j.issn.2095-4239.2016.00.022

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Large-capacity energy storage system group technology based on Butterfly algorithm

HAN Xiaojuan1, ZHAO Zekun1, XIE Zhijia2, LI Jianlin2   

  1. 1School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China; 2China Electric Power Research Institute, Beijing 100192, China
  • Received:2015-12-22 Revised:2016-01-07 Online:2016-07-01 Published:2016-07-01

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Abstract:

 Various grouping ways of large capacity storage system (LCSS) has directly impact on resistance characteristics inside LCSS. Currently, researches on grouping manners of LCSS are still at initial stage. Large capacity vanadium redox battery storage system (LCVRBSS) is adopted for research analysis in this paper. By virtue of analyzing resistance characteristics of different grouping modes of single stack, butterfly algorithm is employed to obtain surface fitting for resistance characteristic of different grouping modes under various state of charge (SOC). Through simulation, the maximum fitting error is within 3.6%. As an aside, optimal grouping way of single stack can be achieved via minimizing resistance of single stack, conducted by particle swarm optimization algorithm.

Key words: energy storage, Butterfly algorithms, group technology, particle swarm optimization