Transactions of China Electrotechnical Society  2020, Vol. 35 Issue (19): 4038-4047    DOI: 10.19595/j.cnki.1000-6753.tces.200122
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Power Optimization Allocation Strategy for Vanadium Battery Energy Storage System Considering Loss
Chen Wei, Hou Yangcheng, Zhang Li, Wang Juan, Qiu Ya
School of Electrical Engineering and Automation Hefei University of Technology Hefei 230000 China

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Abstract  For the large-capacity energy storage system composed of multiple sets of vanadium redox flow batteries connected in parallel, an optimized power allocation strategy considering the loss is given.This strategy first establishes a power allocation model that takes into account losses, and then takes the system loss and SOC balance as the objective optimization function.And the virtual particle-adaptive differential evolution algorithm (VP-ADE) is used to find the optimal solution under the constraints of meeting the power demand, state of charge (SOC) upper and lower limit, etc. Therefore, the optimal power distribution of the energy storage system is realized.Finally, the strategy of this paper is simulated and verified based on Matlab, and compared with the traditional strategy , the simulation results show that this the SOC of each energy storage unit gradually converge during charging and discharging.
Key wordsPower distribution      vanadium redox flow battery      system loss      state of charge (SOC)      differential evolution algorithm     
Received: 10 February 2020     
PACS: TM316  
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Chen Wei,Hou Yangcheng,Zhang Li等. Power Optimization Allocation Strategy for Vanadium Battery Energy Storage System Considering Loss[J]. Transactions of China Electrotechnical Society, 2020, 35(19): 4038-4047.
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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.200122     OR     https://dgjsxb.ces-transaction.com/EN/Y2020/V35/I19/4038
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