Using PSO algorithm for power flow management enhancement in PV-battery grid systems

In this article, we have shown the possibility of improving quality energy injected into electrical network and flexibility its exchange between different components proposed hybrid (photovoltaic generator connected to network-storage battery-load DC motor) develop a control element based on combination fuzzy logic an algorithm derived from PSO Animal Behavior. The works DC/AC bi-directional DC/DC converters, which form basis power management parts network. MATLAB/Simulink software is used demonstrate effectiveness control. results show that contributed stability photovoltaic produced, improvement network, as well response speed during process charging discharging battery, gave more efficiency motor bus.