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...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:""> </span><span style="font-size:10.0pt;font-family:"">year</span><span style="font-size:10.0pt;font-family:"">s</span><span style="font-size:10.0pt;font-family:"">. The average cost of energy is $0.369/kWh.展开更多
文摘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:""> </span><span style="font-size:10.0pt;font-family:"">year</span><span style="font-size:10.0pt;font-family:"">s</span><span style="font-size:10.0pt;font-family:"">. The average cost of energy is $0.369/kWh.
