Abstract

The PV system exhibits a nonlinear power-voltage characteristic, its maximum power point (MPP) varies with\nirradiance and temperature. Under various conditions, it is possible to have multiple local maxima in some cases, but overall\nthere is only one true MPP. This not only affects the power output of the PV systems, but also leads to complexity and\nreliability problems. Traditional methods are difficult to find the true MPP fast and accurately. Particle swarm optimization\n(PSO) is more suitable to reduce the steady state oscillations present in the current and voltage waveform at the output of the\ninverter. A modified soft computing technique called particle swarm optimization algorithm (PSO) is used to improve the\nswitching of the inverter.This PSO based control algorithm alongwith PI controller is developed in MATLAB, which\ngenerates an error voltage and it is analysed using PSO based controller in order to improve the switching.In this paper PV\nsystem is analysed without using PSO as well as using PSO. It is concluded that while using PSO, improved current and\nvoltage waveforms are observed which are responsible to reduce steady state oscillations in the system. FFT analysis is also\ndone which shows that Total Harmonic Distortion (IEEE Std.519)with PSO based controller are within the acceptable limits\ndefined by IEEE standards.It improves the reliability of the system.