Energy Management System for Smart Microgrid Systems using Adaptive Fuzzy Logic

Population growth, industrialization, and commercialization all contribute to an enormous demand for electricity that frequently depends on fossil fuels. The focus is now on the usage of renewable energy sources because of the sudden reduction in fossil fuels, increased cost of electricity production, and pollution. The use of the smart microgrid systems in hospitals, schools, colleges, small businesses, government buildings, etc. has proven to be successful. The unpredictable nature of renewable energy sources, however, leads to poor energy management and an inability to supply the applications with the necessary power. In order to increase energy efficiency, this research provides an autonomous energy management system (EMS) for a smart microgrid that uses a fuzzy logic algorithm. The suggested method FOFFers an energy and money-saving alternative.