%0 Journal Article
%T Optimization PV/Batteries System:  Application in Wouro Kessoum Village Ngaoundere Cameroon
%A Sadam Alphonse
%A Bikai Jacques
%A &nbsp Kitmo
%A Repele Djidimbele
%A Pondi Andre
%A Kapseu Cesar
%J Journal of Power and Energy Engineering
%P 50-59
%@ 2327-5901
%D 2021
%I Scientific Research Publishing
%R 10.4236/jpee.2021.911003
%X 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</span><span style=\"font-size:10.0pt;font-family:&quot;\"> </span><span style=\"font-size:10.0pt;font-family:&quot;\">year</span><span style=\"font-size:10.0pt;font-family:&quot;\">s</span><span style=\"font-size:10.0pt;font-family:&quot;\">. The average cost of energy is $0.369/kWh.
%K Optimization
%K Extrapolation
%K Increasing
%K Electrical Demand
%K Particle Swarm Optimization
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=113281