Real-Time Simulation of an Islanded Mode Solar PV System with New Elman NN-Based MPPT

The ever-increasing demand for clean electrical power and the ability to provide energy in the interior location where the main grid is not available has made solar PV systems popular and demanding. Therefore, in this article, a solar PV system is considered to analyze its performance with the real-time simulator. In the PV system to track the maximum power, a new Elman neural network-based MPPT is used and a battery energy storage system is installed to store surplus energy and supply power whenever required. In this study, one three-phase converter (load-side converters), unidirectional and bidirectional DC-DC converters, and their control schemes are used to manage the power flow. The system is implemented in MATLAB/Simulink 2021A environment and validated on real-time simulator OPAL-RT. The simulation results are analyzed. Results show the proposed control scheme works effectively and can be implemented in real-life.