MATHEMATICAL ANALYSIS OF LOAD DISTRIBUTION AND BALANCING PROCESSES IN CHARGING STATIONS CONNECTED TO HYBRID ENERGY SOURCES
Abstract
The increase in electric vehicles has made ensuring energy balance at charging stations a critical challenge. In this study, a hybrid model based on solar panels, wind turbines, the central grid, and battery storage was developed, and its efficiency was evaluated. Simulation results showed that the proposed approach increases efficiency by 18–25%, reduces losses by 8–10%, and decreases the grid load by up to 30%.
In the study, the energy balance of the charging station was modeled. Photovoltaic, wind, and battery power were evaluated using appropriate models. Optimization methods were applied for balancing, and calculations were carried out in MATLAB/Simulink and Python environments.
According to the simulation results, 45–55% of the charging station load was supplied by renewable sources, 20–30% by the battery, and the remaining part by the central grid. The hybrid strategy reduced losses, increased efficiency up to 78%, and alleviated grid stress during peak loads.
The study results showed that hybrid energy-based charging stations ensure technical stability, reduce grid load, and improve efficiency. The proposed model can be applied in real projects
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