Sedraoui Moussa, Bechouat Mohcene, Ayaz Ramazan, Alharthi Yahya Z, Borni Abdelhalim, Zaghba Layachi, ElSayed Salah K, Awoke Yayehyirad Ayalew, Ghoneim Sherif S M
Department of Electrical and Automation Engineering, Faculty of Science and Technology, University of 08 mai 1945 Guelma, Guelma, Algeria.
Département d'Automatique et d'électromécanique, Facult é des sciences et de la technologie, Université de Ghardaia, Ghardaia, Algeria.
Sci Rep. 2025 Jan 23;15(1):2923. doi: 10.1038/s41598-025-86477-y.
This paper presents a novel approach to modeling and controlling a solar photovoltaic conversion system(SPCS) that operates under real-time weather conditions. The primary contribution is the introduction of an uncertain model, which has not been published before, simulating the SPCS's actual functioning. The proposed robust control strategy involves two stages: first, modifying the standard Perturb and Observe (P&O) algorithm to generate an optimal reference voltage using real-time measurements of temperature, solar irradiance, and wind speed. This modification leads to determining and linearizing the nonlinear current-voltage (I-V) characteristics of the photovoltaic (PV) array near standard test conditions (STC), resulting in an uncertain equivalent resistance used to synthesize an overall model. In the second stage, a robust fixed-order [Formula: see text] controller is designed based on this uncertain model, with frequency-domain specifications framed as a weighted-mixed sensitivity problem. The optimal solution provides the controller parameters, ensuring good reference tracking dynamics, noise suppression, and attenuation of model uncertainties. Performance assessments at STC compare the standard and robust P&O-MPPT strategies, demonstrating the proposed method's superiority in performance and robustness, especially under sudden meteorological changes and varying loads. Experiment results confirm the new control strategy's effectiveness over the standard approach.
本文提出了一种在实时天气条件下运行的太阳能光伏转换系统（SPCS）建模与控制的新方法。主要贡献在于引入了一种此前未发表的不确定模型，用于模拟SPCS的实际运行情况。所提出的鲁棒控制策略包括两个阶段：首先，修改标准的扰动观察（P&O）算法，利用温度、太阳辐照度和风速的实时测量值生成最优参考电压。这种修改导致在标准测试条件（STC）附近确定并线性化光伏（PV）阵列的非线性电流-电压（I-V）特性，从而得到用于合成整体模型的不确定等效电阻。在第二阶段，基于该不确定模型设计了一种鲁棒固定阶[公式：见原文]控制器，将频域规范构建为加权混合灵敏度问题。最优解提供了控制器参数，确保了良好的参考跟踪动态性能、噪声抑制以及模型不确定性的衰减。在STC下的性能评估比较了标准和鲁棒P&O-最大功率点跟踪（MPPT）策略，证明了所提方法在性能和鲁棒性方面的优越性，特别是在突发气象变化和负载变化的情况下。实验结果证实了新控制策略相对于标准方法的有效性。
