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This research endeavor elucidates the application of the Particle Swarm Optimization (PSO) algorithm as an innovative approach to track the Maximum Power Point (MPP) in photovoltaic modeling under diverse temperature and irradiation conditions. The overarching objective is to attain the maximum feasible power output from solar photovoltaic panels, thereby augmenting the overall efficiency of photovoltaic (PV) systems. The proposed PSO controller output power is compared to the output power of standard MPPT Controller using Incremental Conductance integrated with Integral Regulator technique. By leveraging the PSO technique, this study proposes a methodology to dynamically optimize the operating parameters of PV modules in response to fluctuations in environmental factors, such as solar irradiance. Consequently, this approach ensures that the PV system operates at its maximum power point, mitigating energy losses and enhancing the system’s overall performance. The incorporation of the PSO algorithm into photovoltaic modeling represents a significant contribution to the field, as it addresses the inherent challenges associated with maximizing power output under varying environmental conditions, a prevalent issue in real-world solar energy applications.

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Enhancing PV Output Power Under Partial Shading: Implementation of a PSO-Based MPPT Technique

  • 章节

  • 发表日期：

    2025年

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  • Yacine Benatallah,
  • Abdelkrim Benali

摘要

This research endeavor elucidates the application of the Particle Swarm Optimization (PSO) algorithm as an innovative approach to track the Maximum Power Point (MPP) in photovoltaic modeling under diverse temperature and irradiation conditions. The overarching objective is to attain the maximum feasible power output from solar photovoltaic panels, thereby augmenting the overall efficiency of photovoltaic (PV) systems. The proposed PSO controller output power is compared to the output power of standard MPPT Controller using Incremental Conductance integrated with Integral Regulator technique. By leveraging the PSO technique, this study proposes a methodology to dynamically optimize the operating parameters of PV modules in response to fluctuations in environmental factors, such as solar irradiance. Consequently, this approach ensures that the PV system operates at its maximum power point, mitigating energy losses and enhancing the system’s overall performance. The incorporation of the PSO algorithm into photovoltaic modeling represents a significant contribution to the field, as it addresses the inherent challenges associated with maximizing power output under varying environmental conditions, a prevalent issue in real-world solar energy applications.