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Smart EV charging via advanced ongrid MPPT-PV systems with quadratic-boost split-source inverters
Mostafa Wageh Lotfy1, Haitham S Ramadan2,3, Sherif M Dabour4
1Dept. of Process Control Technology, Faculty of Technology and Education, Beni-Suef University, Beni-Suef, Egypt. dr.mostafawag@techedu.bsu.edu.eg.
This study introduces an advanced Maximum Power Point Tracking (MPPT) algorithm for Quadratic-Boost Split Source Inverters (QB-SSI) in electric vehicle charging stations. The enhanced MPPT improves solar energy harvesting efficiency and system performance.
Area of Science:
- Renewable Energy Systems
- Power Electronics
Background:
- Grid-connected Photovoltaic (PV) systems are crucial for electric vehicle (EV) charging infrastructure.
- Traditional Maximum Power Point Tracking (MPPT) algorithms face limitations in dynamic conditions.
- Quadratic-Boost Split Source Inverters (QB-SSI) offer potential for PV applications but require advanced control.
Purpose of the Study:
- To develop and validate an enhanced MPPT algorithm for QB-SSI.
- To improve the efficiency and dynamic performance of PV-powered EV charging stations.
- To address the limitations of conventional MPPT techniques under varying environmental factors.
Main Methods:
- Integration of advanced control strategies and adaptive techniques into the MPPT algorithm.
- Development of a detailed mathematical model for the QB-SSI topology.
- Utilizing a modified space vector modulation (SVPWM) for enhanced inverter switching and DC-boosting.
- System modeling and simulation using MATLAB/Simulink™.
Main Results:
- The enhanced MPPT algorithm demonstrated superior tracking accuracy and faster convergence time.
- Significant improvements in overall efficiency for QB-SSI-based PV systems were observed.
- The modified SVPWM enhanced inverter switching characteristics and DC-boosting capability.
- Experimental validation confirmed the algorithm's effectiveness and practical applicability.
Conclusions:
- The proposed enhanced MPPT algorithm significantly boosts the performance of QB-SSI for PV-powered EV charging.
- The algorithm offers a robust solution for accurate and rapid power tracking under dynamic conditions.
- This advancement contributes to more efficient and reliable renewable energy integration in smart charging infrastructure.
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