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Electric grid dependence on the configuration of a small-scale wind and solar power hybrid system

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  • Mikati, M.
  • Santos, M.
  • Armenta, C.

Abstract

Results are presented from the modeling of a small-scale distributed power system containing power demands, photovoltaic arrays, small-scale wind turbines and an electric grid connection. Detailed models of the photovoltaic array and the wind turbine are briefly explained in addition to the solar and wind recourse models. A subunit is defined to consist of a power demand together with power contributors. It is shown how the grid dependency (or renewable energy contribution) is affected by the connection of subunits and according to the relationship between the power demand patterns and renewable resource patterns. The outcome from several case studies is presented using simulated power demands and renewable resources. In a scenario with subunit power demands characteristic for a large household and a small factory, it is shown that the coupling of subunits reduces annual grid power transfers by more than 10% and increases the renewable power contribution to the demand by almost 7%.

Suggested Citation

  • Mikati, M. & Santos, M. & Armenta, C., 2013. "Electric grid dependence on the configuration of a small-scale wind and solar power hybrid system," Renewable Energy, Elsevier, vol. 57(C), pages 587-593.
    • Handle: RePEc:eee:renene:v:57:y:2013:i:c:p:587-593
    DOI: 10.1016/j.renene.2013.02.018
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    Cited by:

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    2. Laura Canale & Anna Rita Di Fazio & Mario Russo & Andrea Frattolillo & Marco Dell’Isola, 2021. "An Overview on Functional Integration of Hybrid Renewable Energy Systems in Multi-Energy Buildings," Energies, MDPI, vol. 14(4), pages 1-33, February.
    3. Hasan Yildizhan & Cihan Yıldırım & Shiva Gorjian & Arman Ameen, 2023. "How May New Energy Investments Change the Sustainability of the Turkish Industrial Sector?," Sustainability, MDPI, vol. 15(2), pages 1-15, January.
    4. Abedini, Mohammad & Moradi, Mohammad H. & Hosseinian, S. Mahdi, 2016. "Optimal management of microgrids including renewable energy scources using GPSO-GM algorithm," Renewable Energy, Elsevier, vol. 90(C), pages 430-439.
    5. 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.
    6. Grieser, Benno & Sunak, Yasin & Madlener, Reinhard, 2015. "Economics of small wind turbines in urban settings: An empirical investigation for Germany," Renewable Energy, Elsevier, vol. 78(C), pages 334-350.
    7. Kunle Babaremu & Nmesoma Olumba & Ikenna Chris-Okoro & Konyegwachie Chuckwuma & Tien-Chien Jen & Oluseyi Oladijo & Esther Akinlabi, 2022. "Overview of Solar–Wind Hybrid Products: Prominent Challenges and Possible Solutions," Energies, MDPI, vol. 15(16), pages 1-25, August.
    8. Jesús Enrique Sierra-García & Matilde Santos, 2021. "Lookup Table and Neural Network Hybrid Strategy for Wind Turbine Pitch Control," Sustainability, MDPI, vol. 13(6), pages 1-17, March.

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