Monitoring of Grid-Connected Photovoltaic Systems using Multilayer Neural Networks

Smart monitoring ensures that photovoltaic (PV) systems are linked with the grid in a flawless approach. As the use of renewable energy becomes more widespread, increasing PV-grid connection efficiencies will become more important. Real-time data and dynamic control can be achieved by connecting solar power plants to intelligent monitoring systems. In this study, a smart monitoring system based on a Multilayer Neural Network (MLNN) is developed in order to offer precise integration dependability, energy yield, and grid stability in accordance with the load need. The MLNN approach achieves intelligent monitoring in such a way that harmonizes the power generation of PV systems with the fluctuating conditions within the grid.