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Management of the Energy Distribution of Cogenerators Units by Genetic Algorithms

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Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021) (AICV 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1377))

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Abstract

This work aims to optimize an energy production system based on cogeneration groups running on different fuels. The optimization criterion will be economic to minimize the system’s total cost to meet the energy demand of a typical profile during a basic test period. As a first step, we have established adapted models for each production source. To be able to determine, at each moment, the power that the production systems can provide. Subsequently, we established the economic models of different system sources: fuel consumption and energy efficiency. Finally, the study of energetic optimization using genetic algorithms to solve a single-objective problem is to minimize objective functions, namely: the cost of fuel, considering the constraints of inequalities and equality. The robustness of the proposed algorithm is validated by a standard test of four cogeneration units.

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Acknowledgments

The research team would like to thank the national center for scientific and technical research CNRST, for its funding of the project “Study of appropriate technologies for the conversion of organic waste and biomass into renewable energy and sustainable bio-fertilization.

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Authors and Affiliations

  1. Laboratory of Renewable Energies Environment and Development, Faculty of Science and Technology Settat City, Hassan 1St University, Settat, Morocco

    Othmane Maakoul, Ruth Beaulanda, Hamid El Omari & El Hassane Essabri

  2. National School of Applied Sciences Khouribga City, Sultan Moulay Slimane University, Beni Mellal, Morocco

    Aziza Abid

Authors
  1. Othmane Maakoul
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  2. Ruth Beaulanda
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  3. Hamid El Omari
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  4. Aziza Abid
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  5. El Hassane Essabri
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Editor information

Editors and Affiliations

  1. Information Technology Department, Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Faculty of Sciences and Techniques, Hassan 1st University, Settat, Morocco

    Abdelkrim Haqiq

  3. School of Medicine, University of Missouri, Columbia, MO, USA

    Peter J. Tonellato

  4. ISAE-ENSMA, Futuroscope Chasseneuil Cedex, France

    Ladjel Bellatreche

  5. British University Vietnam, Hung Yen, Vietnam

    Sam Goundar

  6. Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt

    Ahmad Taher Azar

  7. NEST Research Group, ENSEM, Hassan II University of Casablanca, Casablanca, Morocco

    Essaid Sabir

  8. High National School for Computer Science and Systems Analysis (ENSIAS), Mohammed V University, Rabat, Morocco

    Driss Bouzidi

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Maakoul, O., Beaulanda, R., Omari, H.E., Abid, A., Essabri, E.H. (2021). Management of the Energy Distribution of Cogenerators Units by Genetic Algorithms. In: Hassanien, A.E., et al. Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021). AICV 2021. Advances in Intelligent Systems and Computing, vol 1377. Springer, Cham. https://doi.org/10.1007/978-3-030-76346-6_62

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