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Novel optimization technique of isolated microgrid with hydrogen energy storage

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  • Eman Hassan Beshr
  • Hazem Abdelghany
  • Mahmoud Eteiba

Abstract

This paper presents a novel optimization technique for energy management studies of an isolated microgrid. The system is supplied by various Distributed Energy Resources (DERs), Diesel Generator (DG), a Wind Turbine Generator (WTG), Photovoltaic (PV) arrays and supported by fuel cell/electrolyzer Hydrogen storage system for short term storage. Multi-objective optimization is used through non-dominated sorting genetic algorithm to suit the load requirements under the given constraints. A novel multi-objective flower pollination algorithm is utilized to check the results. The Pros and cons of the two optimization techniques are compared and evaluated. An isolated microgrid is modelled using MATLAB software package, dispatch of active/reactive power, optimal load flow analysis with slack bus selection are carried out to be able to minimize fuel cost and line losses under realistic constraints. The performance of the system is studied and analyzed during both summer and winter conditions and three case studies are presented for each condition. The modified IEEE 15 bus system is used to validate the proposed algorithm.

Suggested Citation

  • Eman Hassan Beshr & Hazem Abdelghany & Mahmoud Eteiba, 2018. "Novel optimization technique of isolated microgrid with hydrogen energy storage," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-17, February.
    • Handle: RePEc:plo:pone00:0193224
    DOI: 10.1371/journal.pone.0193224
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    Cited by:

    1. Arnob Das & Susmita Datta Peu, 2022. "A Comprehensive Review on Recent Advancements in Thermochemical Processes for Clean Hydrogen Production to Decarbonize the Energy Sector," Sustainability, MDPI, vol. 14(18), pages 1-42, September.
    2. Sharma, Rakesh & Srinivasa Murthy, S. & Dutta, Pradip & Rao, Badri S., 2022. "Performance of solid state hydrogen storage assisted standalone polygeneration microgrids for various climatic zones of India," Energy, Elsevier, vol. 258(C).
    3. Carmona, Roberto & Miranda, Ricardo & Rodriguez, Pablo & Garrido, René & Serafini, Daniel & Rodriguez, Angel & Mena, Marcelo & Fernandez Gil, Alejandro & Valdes, Javier & Masip, Yunesky, 2024. "Assessment of the green hydrogen value chain in cases of the local industry in Chile applying an optimization model," Energy, Elsevier, vol. 300(C).

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