Optimal Utilization of Power in a Grid-interfaced Hybrid Renewable Energy-powered Electric Vehicle Charging Station with an ATLA-based Controller
Optimal Utilization of Power in a Grid-interfaced Hybrid Renewable Energy-powered Electric Vehicle Charging Station with an ATLA-based Controller |
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© 2023 by IJETT Journal | ||
Volume-71 Issue-6 |
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Year of Publication : 2023 | ||
Author : Vechalapu Kamaraju, Chintapalli V V S Bhaskara Reddy |
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DOI : 10.14445/22315381/IJETT-V71I6P237 |
How to Cite?
Vechalapu Kamaraju, Chintapalli V V S Bhaskara Reddy, "Optimal Utilization of Power in a Grid-interfaced Hybrid Renewable Energy-powered Electric Vehicle Charging Station with an ATLA-based Controller," International Journal of Engineering Trends and Technology, vol. 71, no. 6, pp. 375-387, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I6P237
Abstract
Developing a reliable power system model will enable the most efficient use of power in a grid-linked hybrid renewable energy-powered electric vehicle charging station (EVCS). The proposed EVCS model is made by putting together solar PV modules, wind turbines, a series capacitor buck converter (SCBC), a maximum power point tracker (MPPT), a utility grid, a robust controller, and an advanced control architecture. A potential controller is developed using the Artificial Transgender Longicorn Algorithm (ATLA) to enhance the charging station's efficiency by providing optimal switching to the converter. The proposed controller creates a precise and accurate control signal database for the offline mode, which is the transmission of energy from a source to a load. The proposed model is examined under different cases in MATLAB and Simulink, and the performance of EVCS is compared to that of other methods already in place.
Keywords
Electric vehicle charging station, Solar energy, Wind energy, Microgrid, Integrated converter.
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