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Inventi Impact: Energy & Power

Articles

  • Inventi:eep/44735/22
    Optimization PV/Batteries System: Application in Wouro Kessoum Village Ngaoundere Cameroon
    01-Apr-2022 Research 2022 : April-June
    Sadam Alphonse, Bikai Jacques, Kitmo, Repele Djidimbele, Pondi Andre, Kapseu Cesar

    This paper presents the optimization of the PV/battery system including extrapolation of the electrical demand. Matlab software was chosen to implement the algorithm. PVC, the number of PV modules and battery capacity increase with increasing electrical demand. This makes it possible to predict the device according to the electrical demand. Particle swarm optimization is used to minimize the total cost of the system over 20 years. The average cost of energy is $0.369/kWh.

    How to Cite this Article
    Attribution/ CC Compliant Citation: Alphonse, Sadam, et al. "Optimization PV/Batteries System: Application in Wouro Kessoum Village Ngaoundere Cameroon." Journal of Power and Energy Engineering 9.11 (2021): 50-59. https://doi.org/10.4236/jpee.2021.911003 http://creativecommons.org/licenses/by/4.0/ Some formatting elements, header, footer, logos, dates and pagination were modified while adapting this article.
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