Design and Validation of BAT Algorithm-Based Photovoltaic System Using Simplified High Gain Quasi Boost Inverter

• Main Authors: Mani Rajalakshmi, Sankaralingam Chandramohan, Raju Kannadasan, Mohammed H. Alsharif, Mun-Kyeom Kim, Jamel Nebhen
• Format: Article
• Language: English
• Published: MDPI AG 2021-02-01
• Series: Energies
• Subjects: <b>Keywords: </b>BAT algorithm; SHGqBI; photovoltaic; boost inverter; total harmonic distortions
• Online Access: https://www.mdpi.com/1996-1073/14/4/1086

Owing to the intermittent nature of renewable energy systems, an improved power extraction technique and modernized power modulators are to be designed to overcome power quality challenges. Attesting to this fact, this work aims to enhance the efficiency of the photovoltaic (PV) system using the BAT algorithm (BA) and enhances the overall performance of the system using modified inverter topology. Specifically, a new power electronic modulator, i.e., a simplified high gain quasi-boost inverter (SHGqBI), is implemented to eliminate the downsides of the conventional system. The proposed inverter reduces the additional components that can condense the volume of the design with reduced conduction and switching losses. The combination of BA-based PV rated 250 W and novel inverter configuration pick the global peak power with enhanced power quality. Notably, BA extracts the maximum power from the panel meritoriously with about 98.8% efficiency. This is because BA uses the global input parameters to track the maximum power of the PV panel, whereas other conventional maximum power point tracking (MPPT) techniques used limited parameters. Further, the current and voltage total harmonic distortion (THD) of the proposed inverter are recorded, which show a commendable range of 2.7% and 10.2%, respectively. In addition, the efficiency of the inverter is found to be 97%. Consequently, the overall system efficiency is calculated and found to be 97.9%, providing greater advantages over a conventional system. The system is mathematically modelled using MATLAB/Simulink and validated through an experimental setup with the laboratory prototype model.