Reactive Power Compensation and Switching Optimization in Matrix Converter using Model Predictive Current Control Approach

Abstract

This research paper aims to investigate Matrix Converter's use for Power Factor Improvement, Reactive Power Compensation, and novel switching optimization. Initially, the introduction of the matrix converter and its different topologies is presented and its various control techniques are analyzed. The Model Predictive Control of current in the direct matrix converter is investigated in three distinct parts. The first part deals with the control of output current through which distortion-free output current is obtained at the load side. The second part deals with the control of reactive power at the input side of the load so that reactive power at the input is minimized for achieving near unity power factor. The third part is related to switching optimization. In this part, Matrix converter’ switching is optimized to a level that unnecessary switching states are eliminated and only the essential switching is allowed. This optimization significantly reduced Total Harmonic Distortion in the waveforms. Finally, in the end, all three parts are combined into one cost function. Each part has its own customizable weighting factor. Filter at the input side of the matrix converter is added to reduce input current distortion. Simulations for this control technique are done in MATLAB/Simulink and its analysis and results are presented in the paper.