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صفحه اصلی
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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 Maleki
1
Hamed Gorginpour
2
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.
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بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 43.6.0