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Kavya Santhoshi1, B, Ravi Kishore, Dondapati, Shoaib Akhter, Md., Iqubal, Asif, Ali, Ashraf. (1404). Design of Three-Phase Grid-Connected PV System with Z-Source Boost Converter and Neural Network Based Harmonic Elimination. نشریه مهندسی عمران امیرکبیر, 58(1), 189-204. doi: 10.22060/eej.2025.24499.5717
B Kavya Santhoshi1; Dondapati Ravi Kishore; Md. Shoaib Akhter; Asif Iqubal; Ashraf Ali. "Design of Three-Phase Grid-Connected PV System with Z-Source Boost Converter and Neural Network Based Harmonic Elimination". نشریه مهندسی عمران امیرکبیر, 58, 1, 1404, 189-204. doi: 10.22060/eej.2025.24499.5717
Kavya Santhoshi1, B, Ravi Kishore, Dondapati, Shoaib Akhter, Md., Iqubal, Asif, Ali, Ashraf. (1404). 'Design of Three-Phase Grid-Connected PV System with Z-Source Boost Converter and Neural Network Based Harmonic Elimination', نشریه مهندسی عمران امیرکبیر, 58(1), pp. 189-204. doi: 10.22060/eej.2025.24499.5717
Kavya Santhoshi1, B, Ravi Kishore, Dondapati, Shoaib Akhter, Md., Iqubal, Asif, Ali, Ashraf. Design of Three-Phase Grid-Connected PV System with Z-Source Boost Converter and Neural Network Based Harmonic Elimination. نشریه مهندسی عمران امیرکبیر, 1404; 58(1): 189-204. doi: 10.22060/eej.2025.24499.5717

Design of Three-Phase Grid-Connected PV System with Z-Source Boost Converter and Neural Network Based Harmonic Elimination

AUT Journal of Electrical Engineering
مقاله 10، دوره 58، شماره 1، فروردین 2026، صفحه 189-204    اصل مقاله (1.71 M)
نوع مقاله: Research Article
شناسه دیجیتال (DOI): 10.22060/eej.2025.24499.5717
نویسندگان
B Kavya Santhoshi1* 1؛ Dondapati Ravi Kishore2؛ Md. Shoaib Akhter3؛ Asif Iqubal3؛ Ashraf Ali3
1Assistant Professor, Department of Electrical & Electronics Engineering, Godavari Institute of Engineering and Technology (A), Rajahmundry, India
2Professor, Department of Electrical & Electronics Engineering, Godavari Global University, Rajahmundry, India
3UG Scholar, Department of Electrical & Electronics Engineering, Godavari Institute of Engineering and Technology (A), Rajahmundry, India
چکیده
The progress towards Renewable Energy Sources (RESs) has highlighted the crucial role of Photovoltaic (PV) systems in meeting the energy demands of the world.  As energy from PV system becomes significant, there is need for efficient and high quality grid systems becomes essential. As a consequence, this research proposes a grid connected PV system to address the challenges by integrating Z-Source Boost Converter (ZSBC) and neural network based controller for eliminating harmonics. The ZSBC is employed to overcome the limitations of conventional DC-DC converters, offering greater flexibility in voltage boosting and improved reliability in power conversion. Additionally, the system utilizes a Cascaded Adaptive Neuro-Fuzzy Inference System (ANFIS) based Maximum Power Point Tracking (MPPT) controller to ensure that the PV array operates at its maximum efficiency under all conditions, thereby maximizing energy harvest. To continue high power quality and ensure grid compliance, the system incorporates a DQ based Artificial Neural Network (ANN) controller. The system validation is carried out using MATLAB, with results demonstrating superior performance in terms of 96.42% converter efficiency and 1.23% Total Hormonic Distortion (THD). This innovative approach not only improves the overall efficiency and reliability but also ensures that it meets the requirements of modern grids.
کلیدواژه‌ها
Photovoltaic؛ ZSBC؛ Cascaded ANFIS MPPT؛ DQ based ANN Controller؛ Harmonic Elimination
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