Harmonic reduction of single stage grid connected flyback inverter system with soft switching using computational techniques

Abstract

The harmonic current flows in the power system is the major cause for newlinethe problems like insulation failure in equipment, overheating of windings in the newlinetransformer, misfiring of switches in variable speed industrial drives, reduced newlineterminal voltage, non-zero current in neutral conductor and so on. Now a days, the newlineapplication of inverters is dependent on the increase of multifarious purposes. newlineInverters are used in Switched Mode Power Supplies (SMPS), Variable Speed newlineDrives (VSD), Transmission lines and space etc. Hard switching in the inverter newlineincreases the switching stress, switching losses and reduces the efficiency. newlineTo overcome the above issues a single stage conversion of soft switching flyback newlineinverter system is used in this research work. Soft switching flyback inverters newlinewith various controllers are suitable for single stage grid tied photovoltaic systems newlineas proposed in this research work. Initially, Fuzzy Logic with PI and Artificial newlineNeural Network controllers have been designed to selectively eliminate the newlineharmonics in a single stage grid connected flyback inverter system. Mamdani newlinetype of inference system in Fuzzy Logic based PI controller and back propagation newlinetype of network in Artificial Neural Network controller are used for producing the newlinepulses in pulse generator. The motive of the Mamdani Fuzzy Logic approach and newlineback propagation based Artificial Neural Network is to achieve high quality, newlinereliable output and reduced Total Harmonic Distortion (THD) for inductive load. newlineMoreover, Adaptive Fruit Fly Optimization (AFFO) algorithm newlinebased PID Controller is put forward for soft switching in single stage grid tied newlinephotovoltaic systems. In this study, an AFFO with PID controller is proposed newlinein which the AFFO is used to tune the PID parameters such as Kp, Ki and Kd. For PID controllers, the candidate solution is represented using each fruit fly newlineposition. newline