Open phase fault-tolerant support vector machine predictive power control for six-phase induction generator WECS
Wind energy systems are often located in remote areas or offshore, making maintenance and repair both expensive and logistically challenging. Fault-tolerant systems can assist in minimizing the frequency and urgency of maintenance, ultimately reducing operational costs. This study aims to design a s...
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2025
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| author | Hamoudi Y. Abdolrasol M.G.M. Amimeur H. Hassaini F. Ker P.J. Ustun T.S. |
| author2 | 58420428800 |
| author_facet | 58420428800 Hamoudi Y. Abdolrasol M.G.M. Amimeur H. Hassaini F. Ker P.J. Ustun T.S. |
| author_sort | Hamoudi Y. |
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| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Wind energy systems are often located in remote areas or offshore, making maintenance and repair both expensive and logistically challenging. Fault-tolerant systems can assist in minimizing the frequency and urgency of maintenance, ultimately reducing operational costs. This study aims to design a simple and efficient Open-Phase Fault Tolerant (OPFT) control for a wind power system (WPS) based on an asymmetric six-phase induction generator using Finite-Set Predictive Power Control (FS-PPC). The suggested technique involves three key steps. Firstly, the current harmonics in the (x, y) plane are analyzed to discover faults. Then, open-phase localization is achieved using the Support Vector Machine (SVM) with hyperparameter Bayesian Optimization (BO). Finally, the phase that forms 90 degrees with the faulty phase is opened to restore the system?s stability. Importantly, this approach does not require reconfiguring the control algorithm while preserving the system?s effective performance. Simulation results demonstrate the effectiveness of the OPFT-SVM-PPC control strategy in preserving control over the machine while ensuring high energy quality for the grid with a THD of 2.71%. By implementing this fault tolerance control, the system can operate reliably and deliver high-quality power, even in the presence of open-phase faults. ? The Author(s) 2024. |
| format | Article |
| id | my.uniten.dspace-36972 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2025 |
| publisher | SAGE Publications Inc. |
| record_format | dspace |
| spelling | my.uniten.dspace-369722025-03-03T15:46:14Z Open phase fault-tolerant support vector machine predictive power control for six-phase induction generator WECS Hamoudi Y. Abdolrasol M.G.M. Amimeur H. Hassaini F. Ker P.J. Ustun T.S. 58420428800 35796848700 24528376900 59484176200 37461740800 43761679200 DC generators Fault tolerance Outages Predictive control systems Speed regulators Vector control (Electric machinery) Windmill Asymmetric six-phase induction generator Bayesian optimization Current harmonics Energy conversion systems Fault tolerance control Faults detection Hyper-parameter Hyper-parameter bayesian optimization Open phase Open-phase fault tolerance control Phase faults Power Predictive power controls Six-phase Support vectors machine Wind energy conversion Wind energy conversion system Asynchronous generators Wind energy systems are often located in remote areas or offshore, making maintenance and repair both expensive and logistically challenging. Fault-tolerant systems can assist in minimizing the frequency and urgency of maintenance, ultimately reducing operational costs. This study aims to design a simple and efficient Open-Phase Fault Tolerant (OPFT) control for a wind power system (WPS) based on an asymmetric six-phase induction generator using Finite-Set Predictive Power Control (FS-PPC). The suggested technique involves three key steps. Firstly, the current harmonics in the (x, y) plane are analyzed to discover faults. Then, open-phase localization is achieved using the Support Vector Machine (SVM) with hyperparameter Bayesian Optimization (BO). Finally, the phase that forms 90 degrees with the faulty phase is opened to restore the system?s stability. Importantly, this approach does not require reconfiguring the control algorithm while preserving the system?s effective performance. Simulation results demonstrate the effectiveness of the OPFT-SVM-PPC control strategy in preserving control over the machine while ensuring high energy quality for the grid with a THD of 2.71%. By implementing this fault tolerance control, the system can operate reliably and deliver high-quality power, even in the presence of open-phase faults. ? The Author(s) 2024. Article in press 2025-03-03T07:46:14Z 2025-03-03T07:46:14Z 2024 Article 10.1177/01445987241291180 2-s2.0-85212843047 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212843047&doi=10.1177%2f01445987241291180&partnerID=40&md5=112800e994367c6423214e5c668c225d https://irepository.uniten.edu.my/handle/123456789/36972 All Open Access; Gold Open Access SAGE Publications Inc. Scopus |
| spellingShingle | DC generators Fault tolerance Outages Predictive control systems Speed regulators Vector control (Electric machinery) Windmill Asymmetric six-phase induction generator Bayesian optimization Current harmonics Energy conversion systems Fault tolerance control Faults detection Hyper-parameter Hyper-parameter bayesian optimization Open phase Open-phase fault tolerance control Phase faults Power Predictive power controls Six-phase Support vectors machine Wind energy conversion Wind energy conversion system Asynchronous generators Hamoudi Y. Abdolrasol M.G.M. Amimeur H. Hassaini F. Ker P.J. Ustun T.S. Open phase fault-tolerant support vector machine predictive power control for six-phase induction generator WECS |
| title | Open phase fault-tolerant support vector machine predictive power control for six-phase induction generator WECS |
| title_full | Open phase fault-tolerant support vector machine predictive power control for six-phase induction generator WECS |
| title_fullStr | Open phase fault-tolerant support vector machine predictive power control for six-phase induction generator WECS |
| title_full_unstemmed | Open phase fault-tolerant support vector machine predictive power control for six-phase induction generator WECS |
| title_short | Open phase fault-tolerant support vector machine predictive power control for six-phase induction generator WECS |
| title_sort | open phase fault-tolerant support vector machine predictive power control for six-phase induction generator wecs |
| topic | DC generators Fault tolerance Outages Predictive control systems Speed regulators Vector control (Electric machinery) Windmill Asymmetric six-phase induction generator Bayesian optimization Current harmonics Energy conversion systems Fault tolerance control Faults detection Hyper-parameter Hyper-parameter bayesian optimization Open phase Open-phase fault tolerance control Phase faults Power Predictive power controls Six-phase Support vectors machine Wind energy conversion Wind energy conversion system Asynchronous generators |
| url_provider | http://dspace.uniten.edu.my/ |