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.