Fractional-Order PID-based MPPT Controller TLBO-Optimized for Isolated PV System under Dynamic Atmospheric Conditions
Keywords:
Fractional order PID (FOPID), Maximum power point tracking (MPPT), Perturb and observe (P & O), Photovoltaic (PV) system, Proportional-integral-derivative (PID) controller, Teaching learning based optimization (TLBO)Abstract
This study introduces a maximum power point tracking (MPPT) approach for a standalone photovoltaic (PV) system that utilizes a fractional order proportional-integral-derivative (FOPID) controller. Its performance is evaluated against traditional perturb and observe (P&O) and classical PID-based MPPT techniques. The main aim of the proposed method is to maximize the power output of the PV system by continuously regulating the duty ratio of a DC-DC boost converter. To accomplish this, several MPPT control strategies, including PID and FOPID controllers, are designed and implemented. As the effectiveness of these controllers largely depends on the appropriate selection of their parameters, the teaching-learning-based optimization (TLBO) algorithm is applied to determine optimal gain values. This optimization process leads to improved system performance in terms of output voltage, current, and overall power generation. The proposed TLBO-tuned FOPID MPPT scheme is assessed through a comparative analysis with conventional P&O and PID-based methods. Performance indicators such as steady-state oscillations, settling duration, response delay, peak overshoot, and the achievable maximum voltage, current, and power are examined to highlight the advantages of the developed approach.
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