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| Format: | Recurso digital |
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Zenodo
2025
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| Matèries: | |
| Accés en línia: | https://doi.org/10.5281/zenodo.16948413 |
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- <p>This paper uses the multi-mode operation of solar energy, diesel generator (DG) set, grid, and battery-dependent Electric Vehicle Charging Station (EVCS) for uninterruptable charging and continuous power for in-house loads. A single voltage source converter (VSC) helps EVCS to work in standalone mode, Grid-tied Mode (GTM), and DG set-tied Mode (DTM). Also, VSC deals with different issues in managing proper power-sharing for electric vehicles (EVs) from various energy sources. In addition, to obtain maximum power of solar energy, for the control and monitoring frequency and voltage of the alternator, harmonic current reduction of nonlinear load demands, and required reactive power reduction of the proposed scheme ANFIS (Adaptive Neuro-Fuzzy Inference System) controller is presented. EVCS control strategy is designed to take power from solar energy and a battery. If solar energy and battery fails to supply the EVCS, then it receives electrical power from the main grid, and at the end, it consumes energy from a DG set. The DG set develops 33% additional power against its maximum capability without violating the maximum current flowing through its winding thus, the size of the DG set is minimized. In this work, an ANFIS controller is enforced in place of the PI regulator to regulate the voltage and reduce the THD. Proposed controller reduced the Total Harmonic Distortion (THD). Finally, it enhanced the overall system's performance by improving the power quality.</p>