کنفرانس بین المللی ماشین و محرکه های الکتریکی

صفحه اصلی / The 5th International Conference on Electrical Machines and Drives

Model Predictive Control Based Energy Management of a Grid-Connected Microgrid with Renewable Sources and Electric Vehicles

نویسندگان :

Milad Maleki¹ Hamed Gorginpour²

1- دانشگاه خلیج فارس 2- دانشگاه خلیج فارس

کلمات کلیدی :

Microgrid،Energy Management،Model Predictive Control (MPC)،Battery Energy Storage System (BESS)،Electric Vehicles (EVs)،Cost Optimization

چکیده :

This paper presents an energy management framework for a grid-connected microgrid consisting of photovoltaic (PV) panels, wind turbines, battery storage, and electric vehicles (EVs). EVs are modeled as mobile storage units with stochastic driving and charging behavior. A model predictive control (MPC) approach is implemented to minimize the total operational cost, which considers electricity purchase from the grid, battery degradation, and EV state-of-charge (SOC) constraints. Renewable generation, load demand, and EV trip profiles are modeled with stochastic variations to capture uncertainties. Simulation results over a 24-hour horizon demonstrate that the proposed MPC-based strategy efficiently balances supply and demand, reduces energy cost, and maintains reliable SOC levels for EVs, while enabling both energy import and export with the main grid.