Fuzzy Logic-Enhanced Direct Power Control for Wind Turbines with Doubly Fed Induction Generators
ABSTRACT: This paper introduces a novel approach, F12-DPC (Fuzzy Logic-based 12-sector Direct Power Control), aimed at significantly improving the performance of wind turbines using Doubly Fed Induction Generators (DFIGs). This innovative method overcomes the limitations of traditional Direct Power...
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| Language: | English |
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Elsevier
2024-12-01
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| Series: | Results in Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123024018000 |
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| author | Karim Fathi sayeh Salah tamalouzt Djamel ZIANE Brahim Deffaf Sofia Lalouni BELAID Youcef BELKHIER Mohit BAJAJ Vojtech BLAZEK |
| author_facet | Karim Fathi sayeh Salah tamalouzt Djamel ZIANE Brahim Deffaf Sofia Lalouni BELAID Youcef BELKHIER Mohit BAJAJ Vojtech BLAZEK |
| author_sort | Karim Fathi sayeh |
| collection | DOAJ |
| description | ABSTRACT: This paper introduces a novel approach, F12-DPC (Fuzzy Logic-based 12-sector Direct Power Control), aimed at significantly improving the performance of wind turbines using Doubly Fed Induction Generators (DFIGs). This innovative method overcomes the limitations of traditional Direct Power Control (DPC) by incorporating fuzzy logic to mitigate power fluctuations and reduce total harmonic distortion (THD) in grid currents. The novelty of F12-DPC lies in its ability to precisely control both active and local compensated reactive powers, optimizing energy exchange with the AC grid across various operational modes. Extensive simulations under different wind conditions demonstrate the superiority of F12-DPC over conventional DPC (C-DPC) techniques. It reduces active power variations by up to 72.7% and reactive power variations by 79.2%, while significantly lowering grid current THD—from 6.26% to 1.47% in super-synchronous mode, 6.42% to 2.09% in synchronous mode, and 8.74% to 2.15% in sub-synchronous mode. The simplicity and robustness of F12-DPC make it a breakthrough solution for enhancing wind energy conversion system efficiency and promoting seamless grid integration. |
| format | Article |
| id | doaj-art-aade7584a7b345f2a2eb2e310b02a9a6 |
| institution | DOAJ |
| issn | 2590-1230 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-aade7584a7b345f2a2eb2e310b02a9a62025-08-20T02:52:24ZengElsevierResults in Engineering2590-12302024-12-012410355710.1016/j.rineng.2024.103557Fuzzy Logic-Enhanced Direct Power Control for Wind Turbines with Doubly Fed Induction GeneratorsKarim Fathi sayeh0Salah tamalouzt1Djamel ZIANE2Brahim Deffaf3Sofia Lalouni BELAID4Youcef BELKHIER5Mohit BAJAJ6Vojtech BLAZEK7Laboratoire de Technologie Industrielle et de l'Information (LTII), Faculté de Technologie, Université de Bejaia, Bejaia 06000, AlgeriaLaboratoire de Technologie Industrielle et de l'Information (LTII), Faculté de Technologie, Université de Bejaia, Bejaia 06000, AlgeriaLaboratoire de Technologie Industrielle et de l'Information (LTII), Faculté de Technologie, Université de Bejaia, Bejaia 06000, Algeria; Nantes Université, Institut de Recherche en Énergie Électrique de Nantes Atlantique, IREENA, UR 4642, F-44600, Saint-Nazaire, FranceLaboratoire de Maitrise des Energies Renouvelables (LMER), Faculté de Technologie, Université de Bejaia, Bejaia 06000, AlgeriaLaboratoire de Technologie Industrielle et de l'Information (LTII), Faculté de Technologie, Université de Bejaia, Bejaia 06000, AlgeriaUniversity of Brest, UMR CNRS 6027, 29238 Brest, FranceDepartment of Electrical Engineering, Graphic Era (Deemed to be University), Dehradun 248002, India; Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan; College of Engineering, University of Business and Technology, Jeddah, 21448, Saudi Arabia; Corresponding author.ENET Centre, VSB—Technical University of Ostrava, 708 00 Ostrava, Czech RepublicABSTRACT: This paper introduces a novel approach, F12-DPC (Fuzzy Logic-based 12-sector Direct Power Control), aimed at significantly improving the performance of wind turbines using Doubly Fed Induction Generators (DFIGs). This innovative method overcomes the limitations of traditional Direct Power Control (DPC) by incorporating fuzzy logic to mitigate power fluctuations and reduce total harmonic distortion (THD) in grid currents. The novelty of F12-DPC lies in its ability to precisely control both active and local compensated reactive powers, optimizing energy exchange with the AC grid across various operational modes. Extensive simulations under different wind conditions demonstrate the superiority of F12-DPC over conventional DPC (C-DPC) techniques. It reduces active power variations by up to 72.7% and reactive power variations by 79.2%, while significantly lowering grid current THD—from 6.26% to 1.47% in super-synchronous mode, 6.42% to 2.09% in synchronous mode, and 8.74% to 2.15% in sub-synchronous mode. The simplicity and robustness of F12-DPC make it a breakthrough solution for enhancing wind energy conversion system efficiency and promoting seamless grid integration.http://www.sciencedirect.com/science/article/pii/S2590123024018000Direct Power ControlFuzzy Logic ControllerDoubly Fed Induction GeneratorWind TurbinePower Quality Optimization |
| spellingShingle | Karim Fathi sayeh Salah tamalouzt Djamel ZIANE Brahim Deffaf Sofia Lalouni BELAID Youcef BELKHIER Mohit BAJAJ Vojtech BLAZEK Fuzzy Logic-Enhanced Direct Power Control for Wind Turbines with Doubly Fed Induction Generators Results in Engineering Direct Power Control Fuzzy Logic Controller Doubly Fed Induction Generator Wind Turbine Power Quality Optimization |
| title | Fuzzy Logic-Enhanced Direct Power Control for Wind Turbines with Doubly Fed Induction Generators |
| title_full | Fuzzy Logic-Enhanced Direct Power Control for Wind Turbines with Doubly Fed Induction Generators |
| title_fullStr | Fuzzy Logic-Enhanced Direct Power Control for Wind Turbines with Doubly Fed Induction Generators |
| title_full_unstemmed | Fuzzy Logic-Enhanced Direct Power Control for Wind Turbines with Doubly Fed Induction Generators |
| title_short | Fuzzy Logic-Enhanced Direct Power Control for Wind Turbines with Doubly Fed Induction Generators |
| title_sort | fuzzy logic enhanced direct power control for wind turbines with doubly fed induction generators |
| topic | Direct Power Control Fuzzy Logic Controller Doubly Fed Induction Generator Wind Turbine Power Quality Optimization |
| url | http://www.sciencedirect.com/science/article/pii/S2590123024018000 |
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