PSO Based GMPPT Technique in Photovoltaic Power System

Green energy generation is the most emerging research area in present scenario. PV systems are gaining much interest because of their increased efficiency. Solar energy fluctuates with the intensity of the radiated light. As a result the output power of the panel varies. This varying supply can neither be connected to grid nor used for load. Hence to obtain a maximum power, maximum power point technology (MPPT) like soft computing technique called Particle Swarm optimization algorithm (PSO) is proposed to find the maximum power. This proposed method has the ability to track the MPP for the extreme environmental condition. The algorithm is simple and can be computed very rapidly. To optimize the utilization of large arrays of photovoltaic modules, maximum power point tracker (MPPT) is normally employed in conjunction with the power converter (dc–dc converter and/or inverter). However, due to the varying environmental condition, namely temperature and solar insolation, the power–voltage characteristic curve exhibits a maximum power point (MPP) that varies nonlinearly with these conditions thus posing a challenge for the tracking algorithm. MATLAB and simulink will be employed for simulation of PSO based global maximum power point tracking (GMPPT) for PV power system.