Title: Analysis of PV fed BLDC motor using PSO and TLBO algorithm

Abstract

Solar is considered to be an important source of renewable energy which is preferred in various applications. Because of the nonlinear characteristics of the solar PV source, it is required to find higher peak power (MPPT- Maximum power point tracker) at any instant, maximize system efficiency and minimize the ROI (return of investment) on the solar PV installation. This work presents the design and analysis of solar fed BLDC drive with various mppt techniques. The system has a PV panel, MPPT controller, Charge controller, battery backup, voltage source inverter and a BLDC motor. A zeta converter is used to extract the maximum available power from the PV system. Due to the fluctuating input voltage a ZETA converter is used to provide a constant output voltage which is controlled proficiently by using MPPT algorithm. The MPPT controller is used to draw optimum power from the PV panel. The MPPT controller uses the optimization algorithms such as Particle swarm optimization and Teaching Learning Based Optimization Algorithm to harvest the maximum power from the PV panel. Since the solar energy is irregular in nature, a battery needs to be connected in parallel to the system. When the solar energy is available, the solar energy charges the battery, runs the BLDC motor as well. When the solar energy is not available the battery discharges through the bidirectional buck converter which in turn runs the electric motor. The output of the ZETA converter is fed to the BLDC motor through a voltage source inverter. The switching of voltage source inverter’s (VSI) is controlled by the PI controller for the speed control of BLDC motor.