DC Voltages Regulation for Renewable Sources using Machine Learning

Renewable energy sources stand out as a chance for a sustainable future due to many problems. One significant kind of renewable energy power system is solar energy storage systems. Renewable energy generation is inherently volatile and may include unacceptably large fluctuations. Therefore, to use renewable energy later, it is now stored in batteries or super capacitors, but this demands a hefty maintenance charge. The dependability assurances and pliability of the interconnected micro grid are greatly strengthened when relatively many micro grids that are geographically close to one another are all connected through a single distribution line. The key objective of the suggested model is to regulate renewable energy during fluctuations to provide a steady supply of electricity, so the solar panel power generation and load usage will be monitored continuously, and send these values to a machine learning model to categorize the switching mode of the voltage stabilizer.