Scholarlink

<p>This study presents a novel approach to enhance photovoltaic (PV) system performance through two key contributions. First, a small-signal model of the global PV system comprising an AEG PQ10/40/01 PV panel, DC-DC boost converter, and variable resistive load is experimentally identified using MATLAB’s System Identification Toolbox. By treating the system as a black box, the model parameters are derived solely from measured duty cycle inputs and PV voltage outputs. This offers a practical and previously unexplored method for parameter identification in real-world PV systems. Second, a <i>Tilted Integral Derivative</i> (TID) voltage controller is synthesized, with its four parameters optimized via the <i>Grasshopper Optimization Algorithm</i> (GOA) to minimize the mean squared error (MSE) between reference and actual PV voltage variations. The proposed <i>P&amp;O-TID-GOA</i> cascade control strategy integrates the TID controller into the <i>Perturb and Observe</i> (P&amp;O) algorithm, significantly reducing power ripples and improving dynamic response under varying irradiance and load conditions. Experimental validation demonstrates superior performance over conventional P&amp;O, achieving 98.8% <i>Maximum Power Point Tracking</i> MPPT efficiency with enhanced stability. Notably, this work marks the first real-time implementation of the TID controller in this context, underscoring its practical relevance and innovation.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Advanced Voltage Regulation in Photovoltaic Systems: A GOA-Tuned TID Controller Enhanced P&O MPPT Strategy Based on Experimental Small-Signal Modeling

  • 期刊论文

  • 发表日期：

    2026年4月11日

查看全文
  • Zehour Ismahane Saci,
  • Mohcene Bechouat,
  • Moussa Sedraoui,
  • Abdelhalim Borni,
  • Soufiane Gahgouhi

摘要

This study presents a novel approach to enhance photovoltaic (PV) system performance through two key contributions. First, a small-signal model of the global PV system comprising an AEG PQ10/40/01 PV panel, DC-DC boost converter, and variable resistive load is experimentally identified using MATLAB’s System Identification Toolbox. By treating the system as a black box, the model parameters are derived solely from measured duty cycle inputs and PV voltage outputs. This offers a practical and previously unexplored method for parameter identification in real-world PV systems. Second, a Tilted Integral Derivative (TID) voltage controller is synthesized, with its four parameters optimized via the Grasshopper Optimization Algorithm (GOA) to minimize the mean squared error (MSE) between reference and actual PV voltage variations. The proposed P&O-TID-GOA cascade control strategy integrates the TID controller into the Perturb and Observe (P&O) algorithm, significantly reducing power ripples and improving dynamic response under varying irradiance and load conditions. Experimental validation demonstrates superior performance over conventional P&O, achieving 98.8% Maximum Power Point Tracking MPPT efficiency with enhanced stability. Notably, this work marks the first real-time implementation of the TID controller in this context, underscoring its practical relevance and innovation.