Maximum Power Point Tracking Based on Finite Voltage-Set MPC for Grid-Connected Photovoltaic Systems Under Environmental Variations

Mohammed A. Hassan (), Mahmoud M. Adel, Amr A. Saleh, Magdy B. Eteiba and Ahmed Farhan
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Mohammed A. Hassan: Electrical Engineering Department, College of Engineering, King Faisal University, Al Ahsa 31982, Saudi Arabia
Mahmoud M. Adel: Electrical Engineering Department, Faculty of Engineering, Fayoum University, Fayoum 63514, Egypt
Amr A. Saleh: Electrical Engineering Department, Faculty of Engineering, Fayoum University, Fayoum 63514, Egypt
Magdy B. Eteiba: Electrical Engineering Department, Faculty of Engineering, Fayoum University, Fayoum 63514, Egypt
Ahmed Farhan: Electrical Engineering Department, Faculty of Engineering, Fayoum University, Fayoum 63514, Egypt

Sustainability, 2024, vol. 16, issue 23, 1-22

Abstract: This paper proposes a model predictive control (MPC)-based approach for optimizing the performance of a photovoltaic (PV) system. The proposed method employs finite voltage-set maximum power point tracking (FVS-MPPT), ensuring precise duty cycle adjustment for a boost converter in the PV system considering the environmental changes in irradiation and temperature. Additionally, MPC is implemented for the grid-side converter to determine the optimal switching vector, ensuring precise control of active power via reference d-axis current and the elimination of reactive power by setting the reference q-axis current to zero. This approach optimizes the converter’s performance, maintaining a stable DC-link voltage while ensuring efficient grid integration. To ensure proper synchronization with the grid, a phase-locked loop (PLL) is utilized to provide the necessary grid voltage angle for dq frame transformation. Simulation results highlight the efficiency of the proposed MPC strategy, with the PV-side converter showing a robust response by dynamically adjusting the duty cycle to maintain optimal performance under varying irradiation and temperature conditions. Furthermore, the grid-side converter ensures precise control of active power and eliminates reactive power, enhancing the overall system’s stability and efficiency during grid interactions. A functional comparison of simulation results between the conventional P&O algorithm and the FVS-MPPT approach is presented, demonstrating the enhanced performance of the proposed technique over the conventional method including the total harmonic distortion for both techniques.

Keywords: PV systems; renewable energy; maximum power point tracking; boost converter; model predictive control; sensorless control (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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