Maximum Output Power Tracking of Wind Turbine Using Intelligent Control.
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| Title: | Maximum Output Power Tracking of Wind Turbine Using Intelligent Control. |
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| Authors: | Yuhendri, Muldi1,2 muldi10@mhs.ee.its.ac.id, Ashari, Mochamad2 ashari@ee.its.ac.id, Purnomo, Mauridhi Hery2 hery@ee.its.ac.id |
| Source: | Telkomnika. 2011, Vol. 9 Issue 2, p217-226. 10p. 3 Diagrams, 1 Chart, 8 Graphs. |
| Subjects: | Wind turbines, Electric power, Wind speed, Electric generators, Intelligent control systems, Field orientation principle, Artificial neural networks |
| Abstract (English): | The Output power of wind turbine is determined by wind speed. The Output power can be adjusted by controlling the generator speed and pitch angle of wind turbine. When the wind speed below the wind turbine rated, the output power of generator can be maximized by controlling the generator speed at point of maximum power coefficient. When the wind speed above the wind turbine rated, output power of wind turbine will exceed the power generators rated. In this condition, the output power of wind turbine needs to be regulated to conform to the generator power rate. Output power of wind turbine can be regulated by adjusting the pitch angle of wind turbine. In this paper is developed the control strategies based intelligent control for controlling the generator speed and pitch angle of wind turbine, so the maximum output power tracking (MOPT) of wind turbine can be obtained at any wind speed variations. Generator speed is controlled using PI Fuzzy Logic Controller (PI-FLC) based Direct Field Oriented Control (DFOC). Pitch angle of wind turbine is controlled using Elman Recurrent Neural Network (RENN). The simulation results with Matlab Simulink shows that the both controller was successfully regulates the output power when the wind speed above the wind turbine rated and the output power can be maximum when the wind speed below the wind turbine rated. [ABSTRACT FROM AUTHOR] |
| Abstract (Indonesian): | Daya output turbin angin ditentukan oleh kecepatan angin. Daya output turbin angin dapat diatur dengan mengendalikan kecepatan generator dan sudut pitch turbin angin. Ketika kecepatan angin di bawah rating turbin, daya output generator dapat maksimum dengan mengendalikan kecepatan generator pada titik koefisien daya maksimum. Ketika kecepatan angin di atas rating turbin, daya output turbin akan melebihi rating daya generator. Dalam kondisi ini, daya output turbin perlu diregulasi agar sesuai dengan rating daya generator. Daya output turbin dapat diregulasi dengan mengatur sudut pitch turbin. Dalam paper ini dikembangkan strategi kontrol berbasis kendali cerdas untuk mengendalikan kecepatan generator dan sudut pitch turbin, sehingga daya output maksimum (MOPT) turbin angin dapat diperoleh pada setiap variasi kecepatan angin. Kecepatan generator dikendalikan dengan PI-fuzzy logic controller (PI-FLC) berbasis direct field oriented control (DFOC). Sudut pitch turbin dikendalikan dengan recurrent Elman neural network (RENN). Hasil simulasi dengan simulink Matlab menunjukkan bahwa aplikasi kedua pengendali ini sukses meregulasi daya output ketika kecepatan angin di atas rating turbin dan daya output generator dapat maksimum ketika kecepatan angin di bawah rating turbin. [ABSTRACT FROM AUTHOR] |
| Copyright of Telkomnika is the property of Department of Electrical Engineering, Ahmad Dahlan University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 87299254 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Maximum Output Power Tracking of Wind Turbine Using Intelligent Control. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yuhendri%2C+Muldi%22">Yuhendri, Muldi</searchLink><relatesTo>1,2</relatesTo><i> muldi10@mhs.ee.its.ac.id</i><br /><searchLink fieldCode="AR" term="%22Ashari%2C+Mochamad%22">Ashari, Mochamad</searchLink><relatesTo>2</relatesTo><i> ashari@ee.its.ac.id</i><br /><searchLink fieldCode="AR" term="%22Purnomo%2C+Mauridhi+Hery%22">Purnomo, Mauridhi Hery</searchLink><relatesTo>2</relatesTo><i> hery@ee.its.ac.id</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Telkomnika%22">Telkomnika</searchLink>. 2011, Vol. 9 Issue 2, p217-226. 10p. 3 Diagrams, 1 Chart, 8 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Wind+turbines%22">Wind turbines</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power%22">Electric power</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+speed%22">Wind speed</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+generators%22">Electric generators</searchLink><br /><searchLink fieldCode="DE" term="%22Intelligent+control+systems%22">Intelligent control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Field+orientation+principle%22">Field orientation principle</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+neural+networks%22">Artificial neural networks</searchLink> – Name: Abstract Label: Abstract (English) Group: Ab Data: The Output power of wind turbine is determined by wind speed. The Output power can be adjusted by controlling the generator speed and pitch angle of wind turbine. When the wind speed below the wind turbine rated, the output power of generator can be maximized by controlling the generator speed at point of maximum power coefficient. When the wind speed above the wind turbine rated, output power of wind turbine will exceed the power generators rated. In this condition, the output power of wind turbine needs to be regulated to conform to the generator power rate. Output power of wind turbine can be regulated by adjusting the pitch angle of wind turbine. In this paper is developed the control strategies based intelligent control for controlling the generator speed and pitch angle of wind turbine, so the maximum output power tracking (MOPT) of wind turbine can be obtained at any wind speed variations. Generator speed is controlled using PI Fuzzy Logic Controller (PI-FLC) based Direct Field Oriented Control (DFOC). Pitch angle of wind turbine is controlled using Elman Recurrent Neural Network (RENN). The simulation results with Matlab Simulink shows that the both controller was successfully regulates the output power when the wind speed above the wind turbine rated and the output power can be maximum when the wind speed below the wind turbine rated. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Abstract (Indonesian) Group: Ab Data: Daya output turbin angin ditentukan oleh kecepatan angin. Daya output turbin angin dapat diatur dengan mengendalikan kecepatan generator dan sudut pitch turbin angin. Ketika kecepatan angin di bawah rating turbin, daya output generator dapat maksimum dengan mengendalikan kecepatan generator pada titik koefisien daya maksimum. Ketika kecepatan angin di atas rating turbin, daya output turbin akan melebihi rating daya generator. Dalam kondisi ini, daya output turbin perlu diregulasi agar sesuai dengan rating daya generator. Daya output turbin dapat diregulasi dengan mengatur sudut pitch turbin. Dalam paper ini dikembangkan strategi kontrol berbasis kendali cerdas untuk mengendalikan kecepatan generator dan sudut pitch turbin, sehingga daya output maksimum (MOPT) turbin angin dapat diperoleh pada setiap variasi kecepatan angin. Kecepatan generator dikendalikan dengan PI-fuzzy logic controller (PI-FLC) berbasis direct field oriented control (DFOC). Sudut pitch turbin dikendalikan dengan recurrent Elman neural network (RENN). Hasil simulasi dengan simulink Matlab menunjukkan bahwa aplikasi kedua pengendali ini sukses meregulasi daya output ketika kecepatan angin di atas rating turbin dan daya output generator dapat maksimum ketika kecepatan angin di bawah rating turbin. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Telkomnika is the property of Department of Electrical Engineering, Ahmad Dahlan University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.12928/telkomnika.v9i2.690 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 217 Subjects: – SubjectFull: Wind turbines Type: general – SubjectFull: Electric power Type: general – SubjectFull: Wind speed Type: general – SubjectFull: Electric generators Type: general – SubjectFull: Intelligent control systems Type: general – SubjectFull: Field orientation principle Type: general – SubjectFull: Artificial neural networks Type: general Titles: – TitleFull: Maximum Output Power Tracking of Wind Turbine Using Intelligent Control. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yuhendri, Muldi – PersonEntity: Name: NameFull: Ashari, Mochamad – PersonEntity: Name: NameFull: Purnomo, Mauridhi Hery IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: 2011 Type: published Y: 2011 Identifiers: – Type: issn-print Value: 16936930 Numbering: – Type: volume Value: 9 – Type: issue Value: 2 Titles: – TitleFull: Telkomnika Type: main |
| ResultId | 1 |
