Hybrid Neuro-Fuzzy Integral Sliding Mode Control Technique Optimized UPQC for Power Quality Improvement in Solar Systems
نویسندگان
1 Unitéde Recherche en Energies Renouvelables en Milieu Saharien URERMS, Centre de Recherche des Energies Renouvelables CDER, BP. 478, 01000 Adrar, Alegria,
2 Department of Electrical and Computer Engineering, University of Draia Ahemed Adrar, 01000 Adrar, Algeria
doi
10.22111/ijfs.2025.49224.8678چکیده
This paper presents the design and evaluation of a Photovoltaic-Unified Power Quality Conditioner (PV-UPQC) with series and shunt compensators connected via a DC link. The shunt compensator extracts power from the PV array, compensates harmonic currents and reactive power, and operates at the maximum power point (MPP) under real solar conditions in Adrar, Algeria. Hybrid Neuro-Fuzzy (HNF) integrated with Integral Sliding Mode Control (ISM-C) address chattering issues, improving energy extraction and power quality under variable conditions. Grey Wolf Optimizer (GWO) tunes controller (HNF-ISM-C) parameters, with simulations demonstrating the superiority of HNF-ISM-C over conventional methods. The proposed system significantly enhances power quality, especially under fluctuating irradiation and temperature conditions. The results highlight the robustness and effectiveness of the optimized control strategy in real-world applications.
