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A statistical approach for hybrid energy storage system sizing based on capacity distributions in an autonomous PV/Wind power generation system

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  • Abbassi, Abdelkader
  • Dami, Mohamed Ali
  • Jemli, Mohamed

Abstract

Hybrid Energy Storage System (HESS) integration with autonomous PV/Wind hybrid power system becomes, currently, an interesting option for the improvement of the storage units' reliability and the life cycle assessment. In this paper, a new method for optimally sizing of HESS based on a statistical approach is proposed. This approach aims to exploit the capacity distribution of hybrid supercapacitor-battery system in an autonomous PV/Wind power generation system. This hybridization, of both slow and fast dynamics, aims to eliminate the power peaks caused by the load consumption. For the power distribution for all coordinated components of the storage system, a frequency management control and a hysteresis strategy are used in order to accomplish two goals: firstly, to delimit this exchanged power for not exceeding the maximum value and, secondly, to keep the States Of Charge (SOC) of the batteries-supercapacitors in a suitable range. Moreover, statistical analysis of several cumulative levels was performed to examine their contribution on the HESS optimal sizing. The obtained results prove that the integration of supercapacitor takes advantage of the complementary characteristics of the batteries, improves the exchanged power flow, extends the battery life cycle and affects on storage system sizing through accommodate the fast power fluctuations.

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  • Abbassi, Abdelkader & Dami, Mohamed Ali & Jemli, Mohamed, 2017. "A statistical approach for hybrid energy storage system sizing based on capacity distributions in an autonomous PV/Wind power generation system," Renewable Energy, Elsevier, vol. 103(C), pages 81-93.
    • Handle: RePEc:eee:renene:v:103:y:2017:i:c:p:81-93
    DOI: 10.1016/j.renene.2016.11.024
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    1. Kayal, Partha & Chanda, C.K., 2015. "Optimal mix of solar and wind distributed generations considering performance improvement of electrical distribution network," Renewable Energy, Elsevier, vol. 75(C), pages 173-186.
    2. Song, Ziyou & Hofmann, Heath & Li, Jianqiu & Han, Xuebing & Ouyang, Minggao, 2015. "Optimization for a hybrid energy storage system in electric vehicles using dynamic programing approach," Applied Energy, Elsevier, vol. 139(C), pages 151-162.
    3. Song, Ziyou & Hofmann, Heath & Li, Jianqiu & Hou, Jun & Han, Xuebing & Ouyang, Minggao, 2014. "Energy management strategies comparison for electric vehicles with hybrid energy storage system," Applied Energy, Elsevier, vol. 134(C), pages 321-331.
    4. Shang, Ce & Srinivasan, Dipti & Reindl, Thomas, 2016. "Generation-scheduling-coupled battery sizing of stand-alone hybrid power systems," Energy, Elsevier, vol. 114(C), pages 671-682.
    5. Chao Lu & Hanchen Xu & Xin Pan & Jie Song, 2014. "Optimal Sizing and Control of Battery Energy Storage System for Peak Load Shaving," Energies, MDPI, vol. 7(12), pages 1-15, December.
    6. Zhao, Pan & Wang, Jiangfeng & Dai, Yiping, 2015. "Capacity allocation of a hybrid energy storage system for power system peak shaving at high wind power penetration level," Renewable Energy, Elsevier, vol. 75(C), pages 541-549.
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