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By: Prabhakar Rai, Sujit Kumar, Omkar Nath Pandey, Umesh Choudhary, and Vaibhav Modi
1.Prabhakar Rai*,Student, Department of Electrical & Electronics Engineering, Dayananda Sagar College of Engineering, Bengaluru, Karnataka, India
2.Sujit Kumar, Assistant Professor, Department of Electrical & Electronics Engineering, Dayananda Sagar College of Engineering, Bengaluru, Karnataka, India
3.Omkar Nath Pandey,Student, Department of Electrical & Electronics Engineering, Dayananda Sagar College of Engineering, Bengaluru, Karnataka, India
4.Umesh Choudhary,Student, Department of Electrical & Electronics Engineering, Dayananda Sagar College of Engineering, Bengaluru, Karnataka, India
5.Vaibhav Modi,Student, Department of Electrical & Electronics Engineering, Dayananda Sagar College of Engineering, Bengaluru, Karnataka, India
Operating conditions like temperature and irradiance fluctuations can significantly reduce the power output of PV systems, presenting a key challenge. Additionally, contemporary MPPT methods demand high computational resources and face difficulties in maintaining optimal PV array output when weather conditions change quickly. The P&O technique, though widely used, falls short in accurate maximum power point tracking amid sudden shifts in solar insolation due to incorrect adjustments in the duty cycle. This effort addresses the problems of drift effect and computing complexity by introducing an improved P&O MPPT approach. The proposed enhanced method along with the variations in the output voltage and power also includes the change in current (dI) of the PV panel. The impact of integrating the current factor dI with traditional MPPT methods with both fixed and variable step sizes was discussed. By implementing the direct duty-cycle technique on a standard boost converter, the efficacy of the suggested approach was confirmed. The suggested approach is validated using MATLAB simulations. Solar photovoltaic (PV) systems’ efficiency is largely dependent on its capacity to draw the most power possible under a variety of environmental circumstances. Techniques for Maximum Power Point Tracking (MPPT) are essential for maximising PV system performance. Because of its simplicity and convenience of usage, Perturb and Observe (P&O) is one of the most popular MPPT approaches. Traditional P&O techniques, however, have shortcomings such delayed reaction to dynamic irradiance changes and steady-state oscillations. The hardware-centric examination of P&O approaches is presented in this paper, with particular attention to their real-time implementation, performance assessment, and optimisation tactics for increased productivity. The suggested optimisations are validated by experimental results that show notable gains in response time and power tracking efficiency using both real PV panels and embedded systems.
Keywords: Modified perturb and observe (MP&O), boost converter, adaptive perturb and observe (AP&O), PV panels, MPPT controllers.
Citation:
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