SSO optimized FOFPID regulator design for performance enhancement of doubly fed induction generator based wind turbine system
Abstract A wind turbine system (WTS) is a highly coupled and nonlinear system where the output power depends upon highly uncertain wind speed. Therefore, the quality of produced power becomes a challenging problem for researchers. Direct Vector Control (DVC) is a powerful and widely utilized power c...
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Nature Portfolio
2024-11-01
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| Online Access: | https://doi.org/10.1038/s41598-024-76457-z |
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| author | Rafik Dembri Lazhar Rahmani Badreddine Babes Hatim G. Zaini Sherif S. M. Ghoneim Amanuel Kumsa Bojer Aymen Flah Ahmed B. Abou Sharaf |
| author_facet | Rafik Dembri Lazhar Rahmani Badreddine Babes Hatim G. Zaini Sherif S. M. Ghoneim Amanuel Kumsa Bojer Aymen Flah Ahmed B. Abou Sharaf |
| author_sort | Rafik Dembri |
| collection | DOAJ |
| description | Abstract A wind turbine system (WTS) is a highly coupled and nonlinear system where the output power depends upon highly uncertain wind speed. Therefore, the quality of produced power becomes a challenging problem for researchers. Direct Vector Control (DVC) is a powerful and widely utilized power control strategy to deal with winds that vary rapidly and randomly. As a result, this article employed the newly developed Social Spider Optimization (SSO) technique to optimize the design parameters of Fractional-Order Fuzzy Proportional-Integral with Derivative (FOFPID) regulator to maintain the output power of the studied DFIG-based WTS at the rated value under dynamic wind conditions. The suggested FOFPID controller integrates the capabilities of the Fuzzy intelligent regulator and the Fractional-Order controller, enhancing DFIG current control while allowing independent control of active and reactive power. The approach is incorporated within the DVC strategy of the DFIG’s rotor-side converter (RSC), replacing the conventional Proportional-Integral (PI) regulator in the internal current loops. Extensive performance evaluations are conducted under various operating conditions, including active power reference changes, parameter uncertainties, and rapid wind speed variations. Comparative analyses with SSO-optimized PID and Fuzzy regulators show that the FOFPID regulator performs better in terms of maximum overshoot, extreme undershoot, settling time, Total Harmonic Distortion (THD), and Weighted Total Harmonic Distortion (WTHD). The suggested FOFPID regulator also displays stronger robustness against parameters mismatch and weather change than other regulator architectures. |
| format | Article |
| id | doaj-art-d914f7bd313a4103bfe00a1e64db94ed |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-d914f7bd313a4103bfe00a1e64db94ed2024-11-17T12:29:41ZengNature PortfolioScientific Reports2045-23222024-11-0114112510.1038/s41598-024-76457-zSSO optimized FOFPID regulator design for performance enhancement of doubly fed induction generator based wind turbine systemRafik Dembri0Lazhar Rahmani1Badreddine Babes2Hatim G. Zaini3Sherif S. M. Ghoneim4Amanuel Kumsa Bojer5Aymen Flah6Ahmed B. Abou Sharaf7Automatic Laboratory of Sétif-LAS, Faculty of Technology, University of Ferhat AbbasAutomatic Laboratory of Sétif-LAS, Faculty of Technology, University of Ferhat AbbasResearch Center in Industrial Technologies CRTIComputer Engineering Department, College of Computer and Information Technology, Taif UniversityDepartment of Electrical Engineering, College of Engineering, Taif UniversityEthiopian Artificial Intelligence InstituteProcesses, Energy, Environment, and Electrical Systems, National Engineering School of Gabès, University of GabèsMinistry of Higher Education & Scientific Research, Industrial Technical Institute in MatariaAbstract A wind turbine system (WTS) is a highly coupled and nonlinear system where the output power depends upon highly uncertain wind speed. Therefore, the quality of produced power becomes a challenging problem for researchers. Direct Vector Control (DVC) is a powerful and widely utilized power control strategy to deal with winds that vary rapidly and randomly. As a result, this article employed the newly developed Social Spider Optimization (SSO) technique to optimize the design parameters of Fractional-Order Fuzzy Proportional-Integral with Derivative (FOFPID) regulator to maintain the output power of the studied DFIG-based WTS at the rated value under dynamic wind conditions. The suggested FOFPID controller integrates the capabilities of the Fuzzy intelligent regulator and the Fractional-Order controller, enhancing DFIG current control while allowing independent control of active and reactive power. The approach is incorporated within the DVC strategy of the DFIG’s rotor-side converter (RSC), replacing the conventional Proportional-Integral (PI) regulator in the internal current loops. Extensive performance evaluations are conducted under various operating conditions, including active power reference changes, parameter uncertainties, and rapid wind speed variations. Comparative analyses with SSO-optimized PID and Fuzzy regulators show that the FOFPID regulator performs better in terms of maximum overshoot, extreme undershoot, settling time, Total Harmonic Distortion (THD), and Weighted Total Harmonic Distortion (WTHD). The suggested FOFPID regulator also displays stronger robustness against parameters mismatch and weather change than other regulator architectures.https://doi.org/10.1038/s41598-024-76457-zWind turbine generatorFractional-order fuzzy PID ControllerDirect Vector ControlSocial Spider optimization methodDoubly Fed induction generator |
| spellingShingle | Rafik Dembri Lazhar Rahmani Badreddine Babes Hatim G. Zaini Sherif S. M. Ghoneim Amanuel Kumsa Bojer Aymen Flah Ahmed B. Abou Sharaf SSO optimized FOFPID regulator design for performance enhancement of doubly fed induction generator based wind turbine system Scientific Reports Wind turbine generator Fractional-order fuzzy PID Controller Direct Vector Control Social Spider optimization method Doubly Fed induction generator |
| title | SSO optimized FOFPID regulator design for performance enhancement of doubly fed induction generator based wind turbine system |
| title_full | SSO optimized FOFPID regulator design for performance enhancement of doubly fed induction generator based wind turbine system |
| title_fullStr | SSO optimized FOFPID regulator design for performance enhancement of doubly fed induction generator based wind turbine system |
| title_full_unstemmed | SSO optimized FOFPID regulator design for performance enhancement of doubly fed induction generator based wind turbine system |
| title_short | SSO optimized FOFPID regulator design for performance enhancement of doubly fed induction generator based wind turbine system |
| title_sort | sso optimized fofpid regulator design for performance enhancement of doubly fed induction generator based wind turbine system |
| topic | Wind turbine generator Fractional-order fuzzy PID Controller Direct Vector Control Social Spider optimization method Doubly Fed induction generator |
| url | https://doi.org/10.1038/s41598-024-76457-z |
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