microgrid energy cost with electrical vehicles is a M.Tech project topic for Electrical Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
microgrid energy cost with electrical vehicles Project Details
| Abstract |
This research tackles two big problems in today’s power systems: rising energy costs and growing greenhouse‑gas emissions. It does so by creating an optimized energy‑management system (EMS) for campus microgrids. Typical microgrids depend mostly on the utility grid to meet the campus’s electricity demand. The proposed framework adds a microturbine, a photovoltaic (PV) array, a battery energy‑storage system (BESS), and electric vehicles (EVs) that can both charge from the grid (G2V) and feed power back to it (V2G). Because scheduling several energy sources together and handling demand‑response (DR) rules leads to non‑linear optimization problems, the study uses a Mixed‑Integer Linear Programming (MILP) model built in MATLAB. The EMS continuously decides
how to run each resource so that total operating costs are as low as possible while still keeping the system reliable during real‑time outages. Tests under many operating scenarios show that treating EVs as active power sources cuts overall energy costs by 46 % compared with a baseline that uses only the grid. The approach offers a solid method for microgrid optimization and gives practical guidance for demand‑side management and for adding distributed storage to institutional distribution networks.
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| Reference Paper |
Optimization of Microgrid Energy Cost with Electrical Vehicles and Demand Response |
| Domain |
Electrical Engineering |
| Sub-Domain |
Power Systems / Microgrid Energy Management |
| PDF Download |
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