Microgrid Energy Management and Monitoring Systems Powered by Fuzzy Logic Maximum Power Point Tracking

This research proposes an environmentally friendly power-based micro-grid management system for successfully utilizing environmentally friendly power and thereby reducing energy consumption from the force network. Renewable energy sources such as lunar energy from Photovoltaic (PV) cells and wind energy from wind energy conversion systems may be used to power the system more resourcefully during periods of inactivity by store this power in batteries. The stored energy may be used to manage the base load, such as the fan and light, through Light Depending Resistor (LDR) and Passive Infrared Sensor (PIR). Advanced Internet of Things (IoT) technology may be used to manage a schedulable load based on the buyer's requirements. This is demonstrated by comparing the energy use of two modes of operations i.e. Conventional and Autonomous. In this study, Fuzzy Maximum Power Point Tracking (MPPT) is proposed using MATLAB for micro-grid management system. Thus, we obtained a framework with increased efficacy and a reduction in overall energy costs as a result of optimal booking and energy management.