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Comparison between ideal and estimated pv parameters using evolutionary algorithms to save the economic costs

Author

Listed:
  • Rahmani, Javad
  • Sadeghian, Ehsan
  • Dolatiary, Soheil

Abstract

Micro grids are now emerging from lab modules sites into commercial markets, driven by technological improvements, falling costs, a proven track record, and growing recognition of their benefits. Their main contribution is to improve reliability and resilience of electrical grids, to manage the addition of distributed clean energy resources like wind and solar photovoltaic (PV) generation to reduce fossil fuel emissions, and to provide electricity in areas not served by centralized electrical infrastructure. In between, the popularity of photovoltaic panel is not deniable. In this paper, the ideal and practical electrical model of PV is being discussed. Due to significant role of the PV parameters, they are assessed by several heuristic methods and the results are compared. Hence an optimal method for parameter estimation is discussed that can be used in micro grid simulations to reach to an optimal quiescent working condition.

Suggested Citation

  • Rahmani, Javad & Sadeghian, Ehsan & Dolatiary, Soheil, 2018. "Comparison between ideal and estimated pv parameters using evolutionary algorithms to save the economic costs," MPRA Paper 91708, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:91708
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    File URL: https://mpra.ub.uni-muenchen.de/91708/1/MPRA_paper_91708.pdf
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Dolatiary, Soheil & Rahmani, Javad & Khalilzad, Zahra, 2018. "Optimum location of DG units considering operation conditions," MPRA Paper 94194, University Library of Munich, Germany, revised 2018.
    2. Sadeqi, Abolfazl & Rahmani, Javad & Habibifar, Saeed & Ammar Khan, Muhammad & Mudassir Munir, Hafiz, 2020. "Design method for two-Stage CMOS operational amplifier applying load/miller capacitor compensation," MPRA Paper 102931, University Library of Munich, Germany, revised 12 Mar 2020.
    3. Habibifar, Saeed & Kashaninia, Alireza & Farokhi, Fardad, 2017. "Robot path planning in a dynamic and unknown environment based on Colonial Competitive Algorithm (CCA) and fuzzy logic," MPRA Paper 92255, University Library of Munich, Germany, revised Sep 2017.

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    More about this item

    Keywords

    Micro grid; power system; PV panel; heuristic optimization;
    All these keywords.

    JEL classification:

    • L63 - Industrial Organization - - Industry Studies: Manufacturing - - - Microelectronics; Computers; Communications Equipment
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q24 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Land
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting

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