Optimization of the perturb and observe maximum power point tracker for a distributed photovoltaic system

With everyday passing, power generation from photovoltaic (PV) systems are getting increased around the globe. One of the drawbacks of PV systems is that they exhibit non-linear I-V curves with respect to atmospheric conditions. Therefore, maximum power point tracker (MPPT) technique is installed in every PV system. One of the most popular technique is perturb & observe (P&O) but this technique has some shortcomings. In this paper, MPPT technique is proposed which will optimize the P&O with respect to distributed PV (DPV) plant. Such that the deficiencies of P&O are removed. The proposed technique is designed for DPV and is working in two modes. In mode-1, decision making of the proposed technique revolves around the mutual co-ordination between two modules/arrays. During this mode, one array will behave as leader (L) while other array as follower (F). In mode-2, proposed technique utilizes the individual P&O for both arrays. Model is the superior performance mode in which efficiency of the proposed technique is better than P&O. While, in mode-2 both techniques have same efficiency. Finally, the proposed technique is modeled in Matlab/Simulink. The proposed technique is tested under various weather conditions and superior performance of the proposed technique is proved through simulation results.