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@article{189036,
        author = {Maddi Ashok Kumar and K.S.Ramanjaneyulu and R.S.R.Krishnamnaidu},
        title = {Power Quality Enhancement in DFIG Based Wind Energy System Using PV Assisted qZSI-STATCOM with AFF-SOGI and Intelligent Control},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {4406-4413},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189036},
        abstract = {The increasing penetration of renewable energy sources such as wind and solar photovoltaic (PV) systems has introduced significant challenges related to power quality, reactive power management, and harmonic distortion in modern distribution networks. The intermittent and nonlinear nature of renewable energy generation necessitates the development of intelligent and adaptive control strategies to ensure stable and reliable grid operation. This paper presents an advanced control framework for a hybrid renewable energy system integrating a Doubly Fed Induction Generator (DFIG) based wind energy conversion system with a PV-assisted quasi-Z-source inverter based Static Synchronous Compensator (qZSI-STATCOM).
An Adaptive Frequency Fixed Second Order Generalized Integrator (AFF-SOGI) control scheme is employed for precise extraction of fundamental components under distorted and unbalanced load conditions. To enhance dynamic performance and control accuracy, intelligent techniques such as Fuzzy Logic Control (FLC) and Artificial Neural Networks (ANN) are incorporated for tuning control parameters and optimizing system response. The proposed control strategy effectively mitigates current harmonics, improves reactive power compensation, and maintains DC-link voltage stability under varying wind speeds and load disturbances.
The proposed hybrid intelligent control approach proves to be a reliable and efficient solution for power quality enhancement in grid-connected renewable energy systems.},
        keywords = {Doubly Fed Induction Generator (DFIG), qZSI-STATCOM, Hybrid Renewable Energy System, Power Quality Improvement, Fuzzy Logic Controller, Artificial Neural Network, Harmonic Mitigation, Reactive Power Compensation.},
        month = {December},
        }