Design of Intelligent Controller based High Gain DC-DC Converter for Microgrid applications

Abstract

The major objective of this research is to develop a hybrid Maximum Power Point Tracking (MPPT) technique to provide the grid with unceasing supply of power from PV system and to improve the dependability of the Battery Energy Storage System (BESS). The ANN controller manages the discharging and charging process of the BESS. The Maximum Power Point (MPP) is tracked using an Adaptive Neuro Fuzzy Inference System -Particle Swarm Optimization (ANFIS-PSO) based MPPT approach in order to maximize the power extraction from the PV system. The DC-DC boost converter boosts the voltage output obtained from the PV system and feeds it to the 3 φ Voltage Source Inverter (VSI). The interfacing of the inverter to the 3 φ grid is achieved via an LC filter which performs effective harmonics mitigation. The Proportional Integral (PI) controller is used in synchronous (dq) reference frame for accomplishing effective grid voltage synchronization. The proposed system's performance is evaluated using Matlab/Simulink.