Comparative analysis of PI and fuzzy logic controller for grid connected wind turbine under normal and fault conditions
Abstract This research is dedicated to improving the control system of wind turbines (WT) to ensure optimal efficiency and rapid responsiveness. To achieve this, the fuzzy logic control (FLC) method is implemented to control the converter in the rotor side (RSC) of a doubly fed induction generator (...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-01-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-85073-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832594765343883264 |
|---|---|
| author | Mohamed Bahgat Mohamed Ezzat Mahmoud A. Attia S. F. Mekhamer Nourhan M. Elbehairy |
| author_facet | Mohamed Bahgat Mohamed Ezzat Mahmoud A. Attia S. F. Mekhamer Nourhan M. Elbehairy |
| author_sort | Mohamed Bahgat |
| collection | DOAJ |
| description | Abstract This research is dedicated to improving the control system of wind turbines (WT) to ensure optimal efficiency and rapid responsiveness. To achieve this, the fuzzy logic control (FLC) method is implemented to control the converter in the rotor side (RSC) of a doubly fed induction generator (DFIG) and its performance is compared with an optimized proportional integral (PI) controller. The study demonstrated an enhancement in the performance of the DFIG through the utilization of the proposed FLC, effectively overcoming limitations and deficiencies observed in the conventional controllers, this approach significantly improved the performance of the wind turbine. Additionally, the selected membership functions were found to be highly compatible with the unique characteristics of wind energy. The optimization process is implemented for the controllers of both the grid side converter (GSC) and RSC. Through simulated analyses conducted using MATLAB/Simulink software, comprehensive assessments are carried out. The robustness of the FLC is evaluated compared to the optimized controllers across various wind profiles and challenging fault conditions. The results demonstrate satisfactory performance of the FLC in terms of steady-state time, stability, and precision under diverse wind speed profiles. The FLC achieves a significantly better settling time than the enhanced PI, improving by approximately 14–70% under normal conditions and 40–70% under various fault conditions. Additionally, the FLC outperforms the enhanced PI in fault conditions by reducing peak-to-peak oscillations by about 30–65%. It also delivers a smaller steady-state error, with improvements of around 2–4% under both normal conditions and most fault scenarios. |
| format | Article |
| id | doaj-art-65a143fa90934bb4a40fcd9557df65ed |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-65a143fa90934bb4a40fcd9557df65ed2025-01-19T12:19:35ZengNature PortfolioScientific Reports2045-23222025-01-0115111610.1038/s41598-024-85073-wComparative analysis of PI and fuzzy logic controller for grid connected wind turbine under normal and fault conditionsMohamed Bahgat0Mohamed Ezzat1Mahmoud A. Attia2S. F. Mekhamer3Nourhan M. Elbehairy4Electrical Power and Machines Department, Ain Shams UniversityElectrical Power and Machines Department, Ain Shams UniversityElectrical Power and Machines Department, Ain Shams UniversityElectrical Engineering Department, Future UniversityElectrical Power and Machines Department, Egyptian Chinese UniversityAbstract This research is dedicated to improving the control system of wind turbines (WT) to ensure optimal efficiency and rapid responsiveness. To achieve this, the fuzzy logic control (FLC) method is implemented to control the converter in the rotor side (RSC) of a doubly fed induction generator (DFIG) and its performance is compared with an optimized proportional integral (PI) controller. The study demonstrated an enhancement in the performance of the DFIG through the utilization of the proposed FLC, effectively overcoming limitations and deficiencies observed in the conventional controllers, this approach significantly improved the performance of the wind turbine. Additionally, the selected membership functions were found to be highly compatible with the unique characteristics of wind energy. The optimization process is implemented for the controllers of both the grid side converter (GSC) and RSC. Through simulated analyses conducted using MATLAB/Simulink software, comprehensive assessments are carried out. The robustness of the FLC is evaluated compared to the optimized controllers across various wind profiles and challenging fault conditions. The results demonstrate satisfactory performance of the FLC in terms of steady-state time, stability, and precision under diverse wind speed profiles. The FLC achieves a significantly better settling time than the enhanced PI, improving by approximately 14–70% under normal conditions and 40–70% under various fault conditions. Additionally, the FLC outperforms the enhanced PI in fault conditions by reducing peak-to-peak oscillations by about 30–65%. It also delivers a smaller steady-state error, with improvements of around 2–4% under both normal conditions and most fault scenarios.https://doi.org/10.1038/s41598-024-85073-wDoubly fed induction generatorFuzzy logic controllerProportional integral controller |
| spellingShingle | Mohamed Bahgat Mohamed Ezzat Mahmoud A. Attia S. F. Mekhamer Nourhan M. Elbehairy Comparative analysis of PI and fuzzy logic controller for grid connected wind turbine under normal and fault conditions Scientific Reports Doubly fed induction generator Fuzzy logic controller Proportional integral controller |
| title | Comparative analysis of PI and fuzzy logic controller for grid connected wind turbine under normal and fault conditions |
| title_full | Comparative analysis of PI and fuzzy logic controller for grid connected wind turbine under normal and fault conditions |
| title_fullStr | Comparative analysis of PI and fuzzy logic controller for grid connected wind turbine under normal and fault conditions |
| title_full_unstemmed | Comparative analysis of PI and fuzzy logic controller for grid connected wind turbine under normal and fault conditions |
| title_short | Comparative analysis of PI and fuzzy logic controller for grid connected wind turbine under normal and fault conditions |
| title_sort | comparative analysis of pi and fuzzy logic controller for grid connected wind turbine under normal and fault conditions |
| topic | Doubly fed induction generator Fuzzy logic controller Proportional integral controller |
| url | https://doi.org/10.1038/s41598-024-85073-w |
| work_keys_str_mv | AT mohamedbahgat comparativeanalysisofpiandfuzzylogiccontrollerforgridconnectedwindturbineundernormalandfaultconditions AT mohamedezzat comparativeanalysisofpiandfuzzylogiccontrollerforgridconnectedwindturbineundernormalandfaultconditions AT mahmoudaattia comparativeanalysisofpiandfuzzylogiccontrollerforgridconnectedwindturbineundernormalandfaultconditions AT sfmekhamer comparativeanalysisofpiandfuzzylogiccontrollerforgridconnectedwindturbineundernormalandfaultconditions AT nourhanmelbehairy comparativeanalysisofpiandfuzzylogiccontrollerforgridconnectedwindturbineundernormalandfaultconditions |