Performance assessment of photovoltaic generator(pvg) power system using maximum power point tracking (mppt) dc to dc boost converter and dc to ac inverter

Abstract

Output power of Photovoltaic Generator (PVG) in a power system was tracked using duty cycle perturbation pulse applied into Maximum Power Point Tracking (MPPT) DC to DC boost converter. Perturbation pulse was controlled by Perturb and Observe (P&O) algorithm which is written in Arduino Uno microcontroller. Power system consist of PVG connected directly with MPPT DC to DC boost converter and then with DC to AC inverter and selected load is 20 W bulb. PVG efficiency was determined by the ratio between the PVG output electric power and the amount sunshine irradiation power received on the surface of PVG. MPPT efficiency was calculated base on output power of PVG work as an input power of MPPT and both input and output power of MPPT was measured using voltage sensor and ACS 712 current sensor. Voltage and current measurements was carried out in online system using Parallax Data Acquisition (PLX-DAQ) software and then voltage, current and power was tabulated in excell table. The graph of voltage, current and power was plotted as a function of time and shows the occurrence of power tracking of MPPT to extract maximum power from PVG after duty cycle of perturbation was applied. The performance of power system was determined by multiplying efficiency of PVG, MPPT and Inverter which gives the performance value around 93 percent of PVG efficiency.