Quantum Angle Variant Optimization (QAVO) Controller based Grid Connected Converter in Microgrid System

Authors

  • D. Mariappan, S. Kalyani, D. Prince Winston, P. M. Devie

Abstract

The efficiency of DC-DC converter depends on its controller architecture. There are various controlling methods to control the flow of current which in turn regulates the DC output of the controller. The proposed controller design is presented as an optimization problem to identify the optimum values for tuning coefficients in the controller. The optimal selection of tuning parameters is performed using Quantum Angle Variant Optimization (QAVO) which helps to reduce the noise/error signal present at the output terminal of the converter. In the present work, photovoltaic (PV) system is used as the source of DC input for the converter. This DC input source is connected parallel to the DC-DC bidirectional converter, which makes the converter to act both in buck and boost mode. The bidirectional DC-DC converter tracks the peak power using MPPT controller connected at the PV side. This type of optimum parameter selection in converter design can select the best tuning parameters to provide smooth DC output signal. The performance of the proposed controller design using QAVO is evaluated using simulation and validated with experimental results.

Published

2020-02-29

Issue

Section

Articles