Model Predictive Control-based Energy Management System Of Microgrid With Fuel Cell

In recent years,huge development in the renewable energy systems has been seen.The ability to generate renewable energy off-grid and connected to the grid has grown.The main justification is the possibility to provide green energy that is both economical and environmentally responsible.Energy management system(EMS)allows industries to facilitate the energy supply systems with maximum efficiency using predictive control to reduce the energy cost and availability ofp ower.The EMS performance is dependent on the design and scalarization of the resulting multi objective function.The proposal includes the energy storage system integration inside the renewable energy microgrid that includes the PV panel,fuel cell,and generator connecting with utility grid.Hydrogen systems,which use electrolysis to produce and store hydrogen when abundant energy and re supply it into the microgrid during the energy crisis.To control the flow of energy in microgrid energy system,it is imperative to design energy management system that permits the technical and financial optimal operation of microgrids.The energy management include prior forecasting of load and input power of solar and wind,to optimize the cost and the used of fuel cell make it more advantageous.This study provides a comprehensive evaluation and analysis of several energy management systems for microgrids based on hydrogen technology.It covers the objectives,constraints,and implementation of the strategies as well as the optimization methodologies and simulation tools.