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@article{185659,
        author = {M. Sushma and V. Deepthi and MADARAM VIKRAMGOUD and Dr. P. Umapathi Reddy},
        title = {Artificial Intelligence Controlled Three-Phase Four-Wire DSTATCOM for Improved Power Quality in Distribution Networks},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {2252-2257},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185659},
        abstract = {This is because the nonlinear and unbalanced loads of modern distribution systems are the primary contributors to power quality problems that include harmonics, low power factor, and voltage imbalance. To overcome these difficulties, in this paper, I propose an Artificial Intelligence (AI)-controlled three-phase four-wire DSTATCOM. It has sophisticated controllers, such as, Synchronous Reference Frame Theory (SRFT), Instantaneous Reactive Power Theory (IRPT) and Adaptive Neuro-Fuzzy Inference System (ANFIS), to improve the performance. The comparison of the three methods discussed above based on simulation results in MATLAB/Simulink indicates that although SRFT and IRPT can help reduce harmonics and increase the power factor, the ANFIS-based controller is the most successful, producing virtually sinusoidal balanced currents, a power factor approaching one, and a Total Harmonic Distortion (THD) within the IEEE-519 limits. The suggested AI-based solution shows quick reaction and ensures stable quality power improvement at different load levels.},
        keywords = {DSTATCOM, Power Quality, Harmonic mitigation, compensate neutral current, AI controller, ANFIS, MATLAB/ Simulink.},
        month = {October},
        }