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Khenfous, S., Kaabeche, A., Bakelli, Y. and Sba, K. (2018) Optimal Size of Renewable Hybrid System Applying Nature-Inspired Algorithms. 2018 International Conference on Wind Energy and Applications in Algeria (ICWEAA), Algiers, 6-7 November 2018, 1-6.
https://doi.org/10.1109/ICWEAA.2018.8605047

has been cited by the following article:

• TITLE: Optimization PV/Batteries System: Application in Wouro Kessoum Village Ngaoundere Cameroon

  AUTHORS: Sadam Alphonse, Bikai Jacques,   Kitmo, Repele Djidimbele, Pondi Andre, Kapseu Cesar

  KEYWORDS: Optimization, Extrapolation, Increasing, Electrical Demand, Particle Swarm Optimization

  JOURNAL NAME: Journal of Power and Energy Engineering, Vol.9 No.11, November 22, 2021

  ABSTRACT: 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.