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Sravani, Kosuri, Kumari, Challa Leela, Manisha, Puttagunta, Deepika, Rayudu Sowmya, Manoj, Yadla. (1405). High Gain Modified Reboost-Luo Converter with Optimized PI Controller for Effectual Integration of PV in Grid System. نشریه مهندسی عمران امیرکبیر, 58(2), 247-262. doi: 10.22060/eej.2026.24345.5687
Kosuri Sravani; Challa Leela Kumari; Puttagunta Manisha; Rayudu Sowmya Deepika; Yadla Manoj. "High Gain Modified Reboost-Luo Converter with Optimized PI Controller for Effectual Integration of PV in Grid System". نشریه مهندسی عمران امیرکبیر, 58, 2, 1405, 247-262. doi: 10.22060/eej.2026.24345.5687
Sravani, Kosuri, Kumari, Challa Leela, Manisha, Puttagunta, Deepika, Rayudu Sowmya, Manoj, Yadla. (1405). 'High Gain Modified Reboost-Luo Converter with Optimized PI Controller for Effectual Integration of PV in Grid System', نشریه مهندسی عمران امیرکبیر, 58(2), pp. 247-262. doi: 10.22060/eej.2026.24345.5687
Sravani, Kosuri, Kumari, Challa Leela, Manisha, Puttagunta, Deepika, Rayudu Sowmya, Manoj, Yadla. High Gain Modified Reboost-Luo Converter with Optimized PI Controller for Effectual Integration of PV in Grid System. نشریه مهندسی عمران امیرکبیر, 1405; 58(2): 247-262. doi: 10.22060/eej.2026.24345.5687

High Gain Modified Reboost-Luo Converter with Optimized PI Controller for Effectual Integration of PV in Grid System

AUT Journal of Electrical Engineering
دوره 58، شماره 2، تیر 2026، صفحه 247-262    اصل مقاله (1.57 M)
نوع مقاله: Research Article
شناسه دیجیتال (DOI): 10.22060/eej.2026.24345.5687
نویسندگان
Kosuri Sravani* 1؛ Challa Leela Kumari1؛ Puttagunta Manisha2؛ Rayudu Sowmya Deepika2؛ Yadla Manoj2
1Assistant Professor, Department of Electrical and Electronics Engineering, Godavari Institute of Engineering and Technology (A), Rajahmundry, India
2UG Scholar, Department of Electrical and Electronics Engineering, Godavari Institute of Engineering and Technology (A), Rajahmundry, India
چکیده
In recent years, Renewable Energy Sources (RES) have gained substantial importance in the global energy generation landscape, offering numerous environmental and economic benefits. This paper presents a highly efficient Photovoltaic (PV) grid-tied system utilizing a novel High-Gain Modified Re-Boost Luo (HG-MRBL) converter, designed to optimize energy generation. For attaining optimal energy production from solar panels, Maximum Power Point Tracking (MPPT) is employed using Jellyfish Search Algorithm, by an Adaptive Neuro-Fuzzy Inference System (JSA-ANFIS). An HG-MRBL converter processes the PV system's output to raise Direct Current (DC) voltage to the necessary levels for grid interaction. A three-phase Voltage Source Inverter (VSI) applied for converting this DC supply into AC. To minimize harmonics and guarantee seamless grid integration, the VSI is connected to an LC filter. Proportional Integral (PI) controller utilized for controlling injection of both active and reactive power into grid to manage flow of power. The system's efficiency is validated using MATLAB simulation, revealing the highest converter efficiency of 94.31%, which surpasses the performance of state-of-the-art approaches.
کلیدواژه‌ها
Renewable Energy Sources؛ Photovoltaic System؛ High-Gain Modified Re-Boost Luo converter؛ Jellyfish Search Algorithm؛ ANFIS MPPT؛ PI Controller
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تعداد مشاهده مقاله: 56
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