Predictive Integration of Renewable Energy Sources into Microgrid Management System

Abstract

A smart grid allows for the extension of current power transmission and distribution by integrating energy, control, and communication. Microgrids are a crucial component of smart grid collaboration. Power processing allows power electronic devices and systems to be placed physically close to the weights and actuators. There is difficulty in creating a model that is at once dynamic, buoyant, and sustainable. In this study, we present a novel modelling and control prototype that facilitates the smart grid's incorporation of Microgrids based on renewable energy sources. The Microgrid's architecture allows for more renewable energy sources to be integrated into it. To illustrate state transitions in Microgrid and total power conditioning with transient response, the proposed model is experimented with on the MATLAB/ Simulink platform.