Intelligent MPPT and coordinated control for voltage stability in brushless DFIG wind turbines
Abstract This research develops a novel control approach for improving voltage stability and maximizing power extraction in Brushless Doubly Fed Induction Generator (DFIG) based Wind Energy Conversion Systems (WECS). The developed approach incorporates a Chaotic Salp Swarm Optimization (CSSO) tuned...
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| Format: | Article |
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Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-08676-x |
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| author | Prashanth Rajanala Malligunta Kiran Kumar Ambati Giriprasad Joon-Ho Choi K. V. Govardhan Rao V. Sri Sravan Ch. Rami Reddy |
| author_facet | Prashanth Rajanala Malligunta Kiran Kumar Ambati Giriprasad Joon-Ho Choi K. V. Govardhan Rao V. Sri Sravan Ch. Rami Reddy |
| author_sort | Prashanth Rajanala |
| collection | DOAJ |
| description | Abstract This research develops a novel control approach for improving voltage stability and maximizing power extraction in Brushless Doubly Fed Induction Generator (DFIG) based Wind Energy Conversion Systems (WECS). The developed approach incorporates a Chaotic Salp Swarm Optimization (CSSO) tuned Adaptive Neuro Fuzzy Inference System (ANFIS) for Maximum Power Point Tracking (MPPT) allowing rotor speed’s dynamic adjustments and torque to attain better wind power extraction. The control framework has coordinated control among the Rotor Side Converter (RSC) and Grid Side Converter (GSC), where the GSC provides the delivery of power to the grid and offers grid support features while the RSC manages torque of rotor side and DC link voltage. To support grid stability under changing conditions, reactive power balancing and voltage regulation are incorporated into the system. By utilizing a d-q reference frame based current control strategy, the harmonic distortion in the grid current is alleviated. Furthermore, the efficacy of developed controller is validated in MATLAB/Simulink tool demonstrating tracking efficiency of $$\:99.86\:\%,$$ with improved tracking speed (0.08s), reduced total harmonic distortion (THD < 2.85%), enhanced voltage stability revealing significant improvements in voltage stability, harmonic suppression and wind energy harvesting efficiency under both steady-state and dynamic operating conditions. |
| format | Article |
| id | doaj-art-91b1bf02214b4b3ab088567ffb6e39d3 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-91b1bf02214b4b3ab088567ffb6e39d32025-08-20T04:01:24ZengNature PortfolioScientific Reports2045-23222025-07-0115112210.1038/s41598-025-08676-xIntelligent MPPT and coordinated control for voltage stability in brushless DFIG wind turbinesPrashanth Rajanala0Malligunta Kiran Kumar1Ambati Giriprasad2Joon-Ho Choi3K. V. Govardhan Rao4V. Sri Sravan5Ch. Rami Reddy6Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education FoundationDepartment of Electrical and Electronics Engineering, Koneru Lakshmaiah Education FoundationDepartment of Electrical and Electronics Engineering, VNR Vignana Jyothi Institute of Engineering and TechnologyElectrical Engineering, Chonnam National UniversityElectrical and Electronics Engineering, St. Martin’s Engineering CollegeDepartment of Computer Science and Engineering, Koneru Lakshmaiah Education FoundationApplied Science Research Center, Applied Science Private UniversityAbstract This research develops a novel control approach for improving voltage stability and maximizing power extraction in Brushless Doubly Fed Induction Generator (DFIG) based Wind Energy Conversion Systems (WECS). The developed approach incorporates a Chaotic Salp Swarm Optimization (CSSO) tuned Adaptive Neuro Fuzzy Inference System (ANFIS) for Maximum Power Point Tracking (MPPT) allowing rotor speed’s dynamic adjustments and torque to attain better wind power extraction. The control framework has coordinated control among the Rotor Side Converter (RSC) and Grid Side Converter (GSC), where the GSC provides the delivery of power to the grid and offers grid support features while the RSC manages torque of rotor side and DC link voltage. To support grid stability under changing conditions, reactive power balancing and voltage regulation are incorporated into the system. By utilizing a d-q reference frame based current control strategy, the harmonic distortion in the grid current is alleviated. Furthermore, the efficacy of developed controller is validated in MATLAB/Simulink tool demonstrating tracking efficiency of $$\:99.86\:\%,$$ with improved tracking speed (0.08s), reduced total harmonic distortion (THD < 2.85%), enhanced voltage stability revealing significant improvements in voltage stability, harmonic suppression and wind energy harvesting efficiency under both steady-state and dynamic operating conditions.https://doi.org/10.1038/s41598-025-08676-xWind energy conversion system (WECS)Doubly fed induction generator (DFIG)Grid side control (GSC)Rotor side control (RSC)Chaotic salp swarm optimisation (CSSO-ANFIS) - based MPPT |
| spellingShingle | Prashanth Rajanala Malligunta Kiran Kumar Ambati Giriprasad Joon-Ho Choi K. V. Govardhan Rao V. Sri Sravan Ch. Rami Reddy Intelligent MPPT and coordinated control for voltage stability in brushless DFIG wind turbines Scientific Reports Wind energy conversion system (WECS) Doubly fed induction generator (DFIG) Grid side control (GSC) Rotor side control (RSC) Chaotic salp swarm optimisation (CSSO-ANFIS) - based MPPT |
| title | Intelligent MPPT and coordinated control for voltage stability in brushless DFIG wind turbines |
| title_full | Intelligent MPPT and coordinated control for voltage stability in brushless DFIG wind turbines |
| title_fullStr | Intelligent MPPT and coordinated control for voltage stability in brushless DFIG wind turbines |
| title_full_unstemmed | Intelligent MPPT and coordinated control for voltage stability in brushless DFIG wind turbines |
| title_short | Intelligent MPPT and coordinated control for voltage stability in brushless DFIG wind turbines |
| title_sort | intelligent mppt and coordinated control for voltage stability in brushless dfig wind turbines |
| topic | Wind energy conversion system (WECS) Doubly fed induction generator (DFIG) Grid side control (GSC) Rotor side control (RSC) Chaotic salp swarm optimisation (CSSO-ANFIS) - based MPPT |
| url | https://doi.org/10.1038/s41598-025-08676-x |
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