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Implementing a Fuzzy Logic Based Algorithm to Predict Solar and Wind Energies in a Hybrid Renewable Energy System

Author

Listed:
  • Sanaa Faquir

    (Sidi Mohamed Ben Abdellah University, Fes, Morocco)

  • Ali Yahyaouy

    (Sidi Mohamed Ben Abdellah University, Fes, Morocco)

  • Hamid Tairi

    (Sidi Mohamed Ben Abdellah University, Fes, Morocco)

  • Jalal Sabor

    (ENSAM-MEKNES, Meknes, Morocco)

Abstract

The use of multi sources systems of energy progressed significantly in different industrial sectors. Between all the existing sources of energy, batteries and renewable sources, such as photovoltaic and wind, contain the highest specified energy. However, solar and wind energies are not available all the time, their performance is affected by unpredictable weather changes and therefore, it is difficult to control as it is not always feasible to obtain an accurate mathematical model of the controlled system. Also, uncertainty of the wind power can affect system stability. This paper presents a computer algorithm based on fuzzy logic control (FLC) to estimate the wind and solar energies in a hybrid renewable energy system from natural factors. The wind power was estimated using the wind speed as an input parameter and the solar power was estimated using the temperature and the lighting as input parameters.

Suggested Citation

  • Sanaa Faquir & Ali Yahyaouy & Hamid Tairi & Jalal Sabor, 2015. "Implementing a Fuzzy Logic Based Algorithm to Predict Solar and Wind Energies in a Hybrid Renewable Energy System," International Journal of Fuzzy System Applications (IJFSA), IGI Global, vol. 4(3), pages 10-24, July.
    • Handle: RePEc:igg:jfsa00:v:4:y:2015:i:3:p:10-24
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