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Stochastic optimal sizing of integrated cryogenic energy storage and air liquefaction unit in microgrid

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  • Kalavani, Farshad
  • Mohammadi-Ivatloo, Behnam
  • Karimi, Ali
  • Kalavani, Farshid

Abstract

This paper investigates the optimal sizing of cryogenic energy storage (CES) in a microgrid (MG). Nowadays, energy storage units have been considered as a viable solution to solving the peak load problems and output power fluctuation of renewable energy resources. At this paper, the CES technology has been presented as large-scale energy storage. In the CES process, the cryogenic liquid (nitrogen and oxygen) is used for storing the energy of electricity. The CES recovers electricity by expanding the cryogen liquid in peak periods. In this respect, the optimal sizing problem of adding CES to an existing air liquefaction unit (ALU) in an MG system is investigated in order to minimize storage unit investment cost as well as the MG operation cost. The problem is modeled as a two-stage stochastic optimization problem and is solved by general algebraic modeling system, in which the pool price market, MG load and wind speed are considered as stochastic parameters.

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  • Kalavani, Farshad & Mohammadi-Ivatloo, Behnam & Karimi, Ali & Kalavani, Farshid, 2019. "Stochastic optimal sizing of integrated cryogenic energy storage and air liquefaction unit in microgrid," Renewable Energy, Elsevier, vol. 136(C), pages 15-22.
    • Handle: RePEc:eee:renene:v:136:y:2019:i:c:p:15-22
    DOI: 10.1016/j.renene.2018.12.101
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    4. Kalavani, Farshad & Mohammadi-Ivatloo, Behnam & Zare, Kazem, 2019. "Optimal stochastic scheduling of cryogenic energy storage with wind power in the presence of a demand response program," Renewable Energy, Elsevier, vol. 130(C), pages 268-280.
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    Cited by:

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    2. Hannan, M.A. & Faisal, M. & Jern Ker, Pin & Begum, R.A. & Dong, Z.Y. & Zhang, C., 2020. "Review of optimal methods and algorithms for sizing energy storage systems to achieve decarbonization in microgrid applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
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    6. Fan, Xiaoyu & Guo, Luna & Ji, Wei & Chen, Liubiao & Wang, Junjie, 2023. "Liquid air energy storage system based on fluidized bed heat transfer," Renewable Energy, Elsevier, vol. 215(C).

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