A novel unified maximum power extraction framework for PMSG based WECS using chaotic particle swarm optimization derivatives
The most important issue in the use of wind energy conversion systems (WECS) is to ensure maximum power extraction for attaining increased efficiency. In this study, maximum power extraction frameworks operating the state-of-the-art optimization methods are presented for permanent magnet synchronous...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-02-01
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| Series: | Engineering Science and Technology, an International Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S221509862030728X |
| _version_ | 1818368689498488832 |
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| author | Emre Hasan Dursun Hasan Koyuncu Ahmet Afsin Kulaksiz |
| author_facet | Emre Hasan Dursun Hasan Koyuncu Ahmet Afsin Kulaksiz |
| author_sort | Emre Hasan Dursun |
| collection | DOAJ |
| description | The most important issue in the use of wind energy conversion systems (WECS) is to ensure maximum power extraction for attaining increased efficiency. In this study, maximum power extraction frameworks operating the state-of-the-art optimization methods are presented for permanent magnet synchronous generator (PMSG) based WECS. These frameworks consist of a fast terminal sliding mode control (FTSMC) based MPPT controller and a hybrid MPPT approach that combines chaotic based particle swarm optimization (PSO) derivatives and optimal relation based (ORB) method. Chaotic dynamic weight PSO (CDW-PSO) and Gauss map based chaotic PSO (GM-CPSO), which are remarkable and recent optimization techniques, are utilized to achieve optimum coefficients to ensure efficient MPPT operation. After acquiring the optimum coefficients, the framework passes to ORB operation part. Moreover, the proposed frameworks track extracted power within certain limits during the operation of WECS and make transition between the best coefficients if necessary. On the other hand, FTSMC is used to track the MPPT references that are determined via hybrid MPPT algorithms. To validate the proposed frameworks, they are tested in Matlab/Simulink environment for three specific wind speed scenarios. GM-CPSO based ORB and CDW-PSO based ORB MPPT methods are compared with ORB and tip speed ratio (TSR) methods under these scenarios. Consequently, it is revealed that proposed methods contribute to MPPT efficiency by providing higher power extraction than other conventional methods. |
| first_indexed | 2024-12-13T23:11:56Z |
| format | Article |
| id | doaj.art-0971acb2244645d38baef10e2553c89b |
| institution | Directory Open Access Journal |
| issn | 2215-0986 |
| language | English |
| last_indexed | 2024-12-13T23:11:56Z |
| publishDate | 2021-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Engineering Science and Technology, an International Journal |
| spelling | doaj.art-0971acb2244645d38baef10e2553c89b2022-12-21T23:28:04ZengElsevierEngineering Science and Technology, an International Journal2215-09862021-02-01241158170A novel unified maximum power extraction framework for PMSG based WECS using chaotic particle swarm optimization derivativesEmre Hasan Dursun0Hasan Koyuncu1Ahmet Afsin Kulaksiz2Department of Electrical and Electronics Engineering, Faculty of Engineering and Natural Sciences, Konya Technical University, Konya, TurkeyDepartment of Electrical and Electronics Engineering, Faculty of Engineering and Natural Sciences, Konya Technical University, Konya, TurkeyCorresponding author at: Konya Technical University, Engineering and Natural Sciences, Department of Electrical and Electronics Engineering, Selcuklu, Konya, Turkey.; Department of Electrical and Electronics Engineering, Faculty of Engineering and Natural Sciences, Konya Technical University, Konya, TurkeyThe most important issue in the use of wind energy conversion systems (WECS) is to ensure maximum power extraction for attaining increased efficiency. In this study, maximum power extraction frameworks operating the state-of-the-art optimization methods are presented for permanent magnet synchronous generator (PMSG) based WECS. These frameworks consist of a fast terminal sliding mode control (FTSMC) based MPPT controller and a hybrid MPPT approach that combines chaotic based particle swarm optimization (PSO) derivatives and optimal relation based (ORB) method. Chaotic dynamic weight PSO (CDW-PSO) and Gauss map based chaotic PSO (GM-CPSO), which are remarkable and recent optimization techniques, are utilized to achieve optimum coefficients to ensure efficient MPPT operation. After acquiring the optimum coefficients, the framework passes to ORB operation part. Moreover, the proposed frameworks track extracted power within certain limits during the operation of WECS and make transition between the best coefficients if necessary. On the other hand, FTSMC is used to track the MPPT references that are determined via hybrid MPPT algorithms. To validate the proposed frameworks, they are tested in Matlab/Simulink environment for three specific wind speed scenarios. GM-CPSO based ORB and CDW-PSO based ORB MPPT methods are compared with ORB and tip speed ratio (TSR) methods under these scenarios. Consequently, it is revealed that proposed methods contribute to MPPT efficiency by providing higher power extraction than other conventional methods.http://www.sciencedirect.com/science/article/pii/S221509862030728XChaos based optimizationFast terminal sliding mode controlMaximum power point trackingPermanent magnet synchronous generatorWind energy conversion system |
| spellingShingle | Emre Hasan Dursun Hasan Koyuncu Ahmet Afsin Kulaksiz A novel unified maximum power extraction framework for PMSG based WECS using chaotic particle swarm optimization derivatives Engineering Science and Technology, an International Journal Chaos based optimization Fast terminal sliding mode control Maximum power point tracking Permanent magnet synchronous generator Wind energy conversion system |
| title | A novel unified maximum power extraction framework for PMSG based WECS using chaotic particle swarm optimization derivatives |
| title_full | A novel unified maximum power extraction framework for PMSG based WECS using chaotic particle swarm optimization derivatives |
| title_fullStr | A novel unified maximum power extraction framework for PMSG based WECS using chaotic particle swarm optimization derivatives |
| title_full_unstemmed | A novel unified maximum power extraction framework for PMSG based WECS using chaotic particle swarm optimization derivatives |
| title_short | A novel unified maximum power extraction framework for PMSG based WECS using chaotic particle swarm optimization derivatives |
| title_sort | novel unified maximum power extraction framework for pmsg based wecs using chaotic particle swarm optimization derivatives |
| topic | Chaos based optimization Fast terminal sliding mode control Maximum power point tracking Permanent magnet synchronous generator Wind energy conversion system |
| url | http://www.sciencedirect.com/science/article/pii/S221509862030728X |
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