Simulation and Analysis of Photovoltaic Stand-Alone Systems

Abstract

Energy saving is biggest issue now a days, renewable energy is playing a big role in producing electricity, among them wind and solar are popular renewable energy sources. Fast tracking of global maximum power point (MPP) is a challenge, many research is going on this direction. MPP highly depends on atmospheric conditions, so our maximum power point tracking (MPPT) technique should be good enough to track MPP in dynamic atmospheric conditions. Perturb and Observer (P & O) and Incremental conductance (INC) are widely used MPPT techniques, we used INC method and simulated solar photovoltaic system in dynamic atmospheric conditions. Partial shading gives local MPPs and one global MPP, power loss occur in a shaded module because of that efficiency reduces, most of the conventional MPPT are failed to track global MPP ,to deal with this problem two kind of control strategies found in literature first one modular MPPT and second one two controller structure. MPP also highly depends on the load, as the load changes MPP changes. Extra power need to store because sometimes load requirement is lesser than the generation, in this situation a battery is needed and in night time when PV module not able to generate, power can draw from the battery. In this thesis we have discussed about the INC MPPT method for different atmospheric conditions and partial shading.