PredictiveControl BasedMPPT for Solar Boost Converters to Optimize Performance Under Fluctuating Irradiation and Loads
DOI:
https://doi.org/10.63635/mrj.v1i2.22Keywords:
Photovoltaic systems, MPPT, Finite Control Set Model Predictive Control (FCS-MPC), P&O algorithm;Ripple minimization, Dynamic load, Solar energyAbstract
In this study, a hybrid maximum power point tracking (MPPT) approach is proposed by integrating a Current Tracking Perturb and Observe (CT-P&O) algorithm with Finite Control Set Model Predictive Control (FCS-MPC) for solar photovoltaic (PV) fed boost converters. The method aims to improve MPPT accuracy, transient performance, and efficiency under dynamically varying irradiance and load conditions. The CT-P&O algorithm generates a reference current for FCS-MPC, while an enhanced cost function is designed to minimize inductor ripple and ensure smooth converter operation. Unlike conventional approaches that focus solely on resistive loads, the proposed system is validated under both resistive and resistive-inductive (RL) loading, as well as step load changes and irradiance fluctuations. Simulation results in MATLAB/Simulink demonstrate high tracking accuracy, ripple minimization, and robustness, achieving a peak efficiency of 97.8%. The proposed control strategy offers a practical solution for real-world PV applications demanding high performance under uncertain operating conditions.
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