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

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

Sanaa Faquir, Ali Yahyaouy, Hamid Tairi, Jalal Sabor
Copyright: © 2015 |Volume: 4 |Issue: 3 |Pages: 15
ISSN: 2156-177X|EISSN: 2156-1761|EISBN13: 9781466679979|DOI: 10.4018/IJFSA.2015070102
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MLA

Faquir, Sanaa, et al. "Implementing a Fuzzy Logic Based Algorithm to Predict Solar and Wind Energies in a Hybrid Renewable Energy System." IJFSA vol.4, no.3 2015: pp.10-24. http://doi.org/10.4018/IJFSA.2015070102

APA

Faquir, S., Yahyaouy, A., Tairi, H., & Sabor, J. (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), 4(3), 10-24. http://doi.org/10.4018/IJFSA.2015070102

Chicago

Faquir, Sanaa, et al. "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) 4, no.3: 10-24. http://doi.org/10.4018/IJFSA.2015070102

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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.

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