Author(s)

Sadam Alphonse^1*, Bikai Jacques¹,   Kitmo², Repele Djidimbele², Pondi Andre³, Kapseu Cesar⁴

¹UFD PAI, Laboratory of Analysis of Simulation and Testing, IUT de Ngaoundéré, Ngaoundere, Cameroon.
²Department of Renewable Energy, National Advanced School of Engineering of University of Maroua, Maroua, Cameroon.
³Energie and Environmental Technology Analysis Laboratory, Yaounde, Cameroon.
⁴The University of Ngaoundere, ENSAI-Ngaoundere, Ngaoundere, Cameroon.

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.

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

Alphonse, S. , Jacques, B. , Kitmo, &. , Djidimbele, R. , Andre, P. and Cesar, K. (2021) Optimization PV/Batteries System: Application in Wouro Kessoum Village Ngaoundere Cameroon. Journal of Power and Energy Engineering, 9, 50-59. doi: 10.4236/jpee.2021.911003.