Energy Management System with Control for Optimal Economic Operation of a Photovoltaic, Battery Energy Storage System, and Fuel Cell

This This project proposes control of residential home subsystems that consist of photovoltaic, battery energy storage system, and fuel cell via bidirectional power converter within controlling subsystem economic manor. The objective function of the optimization goal function is to minimize operating costs and is formulated using a stochastic model predictive control that considers the battery energy storage system and fuel cell charge and discharge efficiency. To consider power predictions uncertainty, goal function and optimization problems are defined in a stochastic framework by using equality and inequality constraints. We will minimize the error in realization of power predictions and will be compensated by the total microgrid system. Finally, we investigated a stochastic model predictive control for the closed-loop power management system and compared it with versatile stochastic model predictive control methods. Proposed approach is performed on simulations with MATLAB to verify the simulation performance.