RETRACTED ARTICLE: Development of grey wolf optimization based modified fast terminal sliding mode controller for three phase interleaved boost converter fed PV system
Abstract The conventional MPPT method has drawbacks, such as that under partial shading conditions, several peaks occur and identifying the global peak is difficult. It may converge to a local peak and lead to poor conversion efficiency and tracking efficiency. Implementation of a hybrid algorithm b...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-04-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-59900-z |
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| author | K. Krishnaram T. Suresh Padmanabhan Faisal Alsaif S. Senthilkumar |
| author_facet | K. Krishnaram T. Suresh Padmanabhan Faisal Alsaif S. Senthilkumar |
| author_sort | K. Krishnaram |
| collection | DOAJ |
| description | Abstract The conventional MPPT method has drawbacks, such as that under partial shading conditions, several peaks occur and identifying the global peak is difficult. It may converge to a local peak and lead to poor conversion efficiency and tracking efficiency. Implementation of a hybrid algorithm by integrating P&O and metaheuristic algorithms can perform better under partial shading conditions. But the tracking speed is low and the response time is longer. To mitigate the issues mentioned above, a new hybrid algorithm has been suggested that integrates GWO and a modified fast terminal sliding mode controller (MFTSMC). The suggested method with three phase ILBC is incorporated into the PV system. The MATLAB tool is employed to experiment with this study. The performance of GWO-MFTSMC is analysed through MATLAB/ SIMULINK and compared with the performance of ANN-FTSMC and PSO-FTSMC algorithm based MPPT techniques. A hardware prototype is developed and tested for 5 × 200 W solar PV modules with the GWO-MFTSMC algorithm. The proposed method conversion efficiency is 99.72% and 96.15% under simulation and hardware realisation, respectively, which is higher than the ANN-FTSMC and PSO-FTSMC methods. |
| format | Article |
| id | doaj-art-4f740ca948cc4ce39f021f12a63cf83d |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-4f740ca948cc4ce39f021f12a63cf83d2025-08-20T01:53:23ZengNature PortfolioScientific Reports2045-23222024-04-0114111410.1038/s41598-024-59900-zRETRACTED ARTICLE: Development of grey wolf optimization based modified fast terminal sliding mode controller for three phase interleaved boost converter fed PV systemK. Krishnaram0T. Suresh Padmanabhan1Faisal Alsaif2S. Senthilkumar3Department of EEE, E.G.S. Pillay Engineering CollegeDepartment of EEE, E.G.S. Pillay Engineering CollegeDepartment of Electrical Engineering, College of Engineering, King Saud UniversityDepartment of ECE, E.G.S. Pillay Engineering CollegeAbstract The conventional MPPT method has drawbacks, such as that under partial shading conditions, several peaks occur and identifying the global peak is difficult. It may converge to a local peak and lead to poor conversion efficiency and tracking efficiency. Implementation of a hybrid algorithm by integrating P&O and metaheuristic algorithms can perform better under partial shading conditions. But the tracking speed is low and the response time is longer. To mitigate the issues mentioned above, a new hybrid algorithm has been suggested that integrates GWO and a modified fast terminal sliding mode controller (MFTSMC). The suggested method with three phase ILBC is incorporated into the PV system. The MATLAB tool is employed to experiment with this study. The performance of GWO-MFTSMC is analysed through MATLAB/ SIMULINK and compared with the performance of ANN-FTSMC and PSO-FTSMC algorithm based MPPT techniques. A hardware prototype is developed and tested for 5 × 200 W solar PV modules with the GWO-MFTSMC algorithm. The proposed method conversion efficiency is 99.72% and 96.15% under simulation and hardware realisation, respectively, which is higher than the ANN-FTSMC and PSO-FTSMC methods.https://doi.org/10.1038/s41598-024-59900-zMaximum power point trackingPhotovoltaicModified fast terminal sliding mode controllerGWOThree phase interleaved boost converter |
| spellingShingle | K. Krishnaram T. Suresh Padmanabhan Faisal Alsaif S. Senthilkumar RETRACTED ARTICLE: Development of grey wolf optimization based modified fast terminal sliding mode controller for three phase interleaved boost converter fed PV system Scientific Reports Maximum power point tracking Photovoltaic Modified fast terminal sliding mode controller GWO Three phase interleaved boost converter |
| title | RETRACTED ARTICLE: Development of grey wolf optimization based modified fast terminal sliding mode controller for three phase interleaved boost converter fed PV system |
| title_full | RETRACTED ARTICLE: Development of grey wolf optimization based modified fast terminal sliding mode controller for three phase interleaved boost converter fed PV system |
| title_fullStr | RETRACTED ARTICLE: Development of grey wolf optimization based modified fast terminal sliding mode controller for three phase interleaved boost converter fed PV system |
| title_full_unstemmed | RETRACTED ARTICLE: Development of grey wolf optimization based modified fast terminal sliding mode controller for three phase interleaved boost converter fed PV system |
| title_short | RETRACTED ARTICLE: Development of grey wolf optimization based modified fast terminal sliding mode controller for three phase interleaved boost converter fed PV system |
| title_sort | retracted article development of grey wolf optimization based modified fast terminal sliding mode controller for three phase interleaved boost converter fed pv system |
| topic | Maximum power point tracking Photovoltaic Modified fast terminal sliding mode controller GWO Three phase interleaved boost converter |
| url | https://doi.org/10.1038/s41598-024-59900-z |
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