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<p>Optimizing the efficiency of Photovoltaic (PV) systems under varying environmental conditions is a major challenge. In this work, a new two-stage Maximum Power Point tracking (MPPT) technique is proposed to improve tracking accuracy, robustness and speed. The first stage involves estimating the voltage at the Maximum Power Point (V<sub>mpp</sub>). It comprises two successive steps: the first defines the search interval based on the Open-Circuit Voltage (V<sub>oc</sub>) estimation, while the second refines the V<sub>mpp</sub> location by applying a dichotomous search algorithme. The second stage is based on the integration of a nonlinear Sliding Mode Controller (SMC) designed to dynamically adjust the converter duty cycle to ensure fast and stable tracking of the Maximum Power Point (MPP). Simulation results in MATLAB/Simulink demonstrate the superiority of the proposed method over existing MPPT techniques such as InC-PI, FLC, and VS-Backstepping. The strategy developed achieves a tracking efficiency of over 99.9%, with a convergence time reduced to 6.98 ms, and maintains good performance even in the presence of rapid variations in irradiance and temperature. By combining reliable V<sub>mpp</sub> estimation with robust control, this approach provides an innovative, high-performance MPPT solution, enhancing both the reliability and energy efficiency of PV systems.</p>

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A Novel MPPT Approach Based on Dichotomous Search for Solar PV Systems: Design, Implementation, and Performance Evaluation Under Variable Climatic Conditions

  • 期刊论文

  • 发表日期：

    2025年7月29日

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  • Fatima Zahra Moustaine,
  • Lahoussine Elmahni,
  • Hamid Belghiti,
  • Yassine EL Aidi Idrissi,
  • Achraf Hani

摘要

Optimizing the efficiency of Photovoltaic (PV) systems under varying environmental conditions is a major challenge. In this work, a new two-stage Maximum Power Point tracking (MPPT) technique is proposed to improve tracking accuracy, robustness and speed. The first stage involves estimating the voltage at the Maximum Power Point (Vmpp). It comprises two successive steps: the first defines the search interval based on the Open-Circuit Voltage (Voc) estimation, while the second refines the Vmpp location by applying a dichotomous search algorithme. The second stage is based on the integration of a nonlinear Sliding Mode Controller (SMC) designed to dynamically adjust the converter duty cycle to ensure fast and stable tracking of the Maximum Power Point (MPP). Simulation results in MATLAB/Simulink demonstrate the superiority of the proposed method over existing MPPT techniques such as InC-PI, FLC, and VS-Backstepping. The strategy developed achieves a tracking efficiency of over 99.9%, with a convergence time reduced to 6.98 ms, and maintains good performance even in the presence of rapid variations in irradiance and temperature. By combining reliable Vmpp estimation with robust control, this approach provides an innovative, high-performance MPPT solution, enhancing both the reliability and energy efficiency of PV systems.