Wind farm simulations based on a DFIG machine using parallel programming
Abstract New computational techniques for simulating a large array of wind turbines are highly needed to model modern electrical grid networks. In this paper, an implementation of a doubly fed induction generator wind turbine model solver is proposed. This solver will run on an NVIDIA graphic proces...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Jiménez-Ruiz, Alberto [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media, LLC, part of Springer Nature 2018 |
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| Übergeordnetes Werk: |
Enthalten in: The journal of supercomputing - Springer US, 1987, 75(2018), 3 vom: 12. Dez., Seite 1641-1653 |
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| Übergeordnetes Werk: |
volume:75 ; year:2018 ; number:3 ; day:12 ; month:12 ; pages:1641-1653 |
| Links: |
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| DOI / URN: |
10.1007/s11227-018-2723-9 |
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OLC2033957497 |
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| 520 | |a Abstract New computational techniques for simulating a large array of wind turbines are highly needed to model modern electrical grid networks. In this paper, an implementation of a doubly fed induction generator wind turbine model solver is proposed. This solver will run on an NVIDIA graphic processing unit, and it will be coded using the compute unified device architecture (CUDA). The implementation will integrate a linear time-invariant system represented by state-space matrices. It has been implemented a CUDA kernel capable of simulating many wind turbines in parallel with different wind profiles and using different configurations. Strategies such as optimizing memory access and overlapping data transfers with the kernel were used to obtain the results. The CUDA implementation reaches an occupancy of 95%, while simulating 500 wind turbines where each unit is subject to a different wind profile or using different configuration parameters. | ||
| 650 | 4 | |a DFIG | |
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10.1007/s11227-018-2723-9 doi (DE-627)OLC2033957497 (DE-He213)s11227-018-2723-9-p DE-627 ger DE-627 rakwb eng 004 620 VZ Jiménez-Ruiz, Alberto verfasserin aut Wind farm simulations based on a DFIG machine using parallel programming 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract New computational techniques for simulating a large array of wind turbines are highly needed to model modern electrical grid networks. In this paper, an implementation of a doubly fed induction generator wind turbine model solver is proposed. This solver will run on an NVIDIA graphic processing unit, and it will be coded using the compute unified device architecture (CUDA). The implementation will integrate a linear time-invariant system represented by state-space matrices. It has been implemented a CUDA kernel capable of simulating many wind turbines in parallel with different wind profiles and using different configurations. Strategies such as optimizing memory access and overlapping data transfers with the kernel were used to obtain the results. The CUDA implementation reaches an occupancy of 95%, while simulating 500 wind turbines where each unit is subject to a different wind profile or using different configuration parameters. DFIG Wind turbine Parallel programming CUDA Cañas-Carretón, Miguel (orcid)0000-0001-7704-6785 aut Fernández-Escribano, Gerardo (orcid)0000-0002-0037-2061 aut Ruiz-Coll, Damián aut Martín-Martínez, Sergio (orcid)0000-0002-0986-6068 aut Gómez-Lázaro, Emilio (orcid)0000-0002-3620-3921 aut Enthalten in The journal of supercomputing Springer US, 1987 75(2018), 3 vom: 12. Dez., Seite 1641-1653 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:75 year:2018 number:3 day:12 month:12 pages:1641-1653 https://doi.org/10.1007/s11227-018-2723-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 AR 75 2018 3 12 12 1641-1653 |
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10.1007/s11227-018-2723-9 doi (DE-627)OLC2033957497 (DE-He213)s11227-018-2723-9-p DE-627 ger DE-627 rakwb eng 004 620 VZ Jiménez-Ruiz, Alberto verfasserin aut Wind farm simulations based on a DFIG machine using parallel programming 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract New computational techniques for simulating a large array of wind turbines are highly needed to model modern electrical grid networks. In this paper, an implementation of a doubly fed induction generator wind turbine model solver is proposed. This solver will run on an NVIDIA graphic processing unit, and it will be coded using the compute unified device architecture (CUDA). The implementation will integrate a linear time-invariant system represented by state-space matrices. It has been implemented a CUDA kernel capable of simulating many wind turbines in parallel with different wind profiles and using different configurations. Strategies such as optimizing memory access and overlapping data transfers with the kernel were used to obtain the results. The CUDA implementation reaches an occupancy of 95%, while simulating 500 wind turbines where each unit is subject to a different wind profile or using different configuration parameters. DFIG Wind turbine Parallel programming CUDA Cañas-Carretón, Miguel (orcid)0000-0001-7704-6785 aut Fernández-Escribano, Gerardo (orcid)0000-0002-0037-2061 aut Ruiz-Coll, Damián aut Martín-Martínez, Sergio (orcid)0000-0002-0986-6068 aut Gómez-Lázaro, Emilio (orcid)0000-0002-3620-3921 aut Enthalten in The journal of supercomputing Springer US, 1987 75(2018), 3 vom: 12. Dez., Seite 1641-1653 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:75 year:2018 number:3 day:12 month:12 pages:1641-1653 https://doi.org/10.1007/s11227-018-2723-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 AR 75 2018 3 12 12 1641-1653 |
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10.1007/s11227-018-2723-9 doi (DE-627)OLC2033957497 (DE-He213)s11227-018-2723-9-p DE-627 ger DE-627 rakwb eng 004 620 VZ Jiménez-Ruiz, Alberto verfasserin aut Wind farm simulations based on a DFIG machine using parallel programming 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract New computational techniques for simulating a large array of wind turbines are highly needed to model modern electrical grid networks. In this paper, an implementation of a doubly fed induction generator wind turbine model solver is proposed. This solver will run on an NVIDIA graphic processing unit, and it will be coded using the compute unified device architecture (CUDA). The implementation will integrate a linear time-invariant system represented by state-space matrices. It has been implemented a CUDA kernel capable of simulating many wind turbines in parallel with different wind profiles and using different configurations. Strategies such as optimizing memory access and overlapping data transfers with the kernel were used to obtain the results. The CUDA implementation reaches an occupancy of 95%, while simulating 500 wind turbines where each unit is subject to a different wind profile or using different configuration parameters. DFIG Wind turbine Parallel programming CUDA Cañas-Carretón, Miguel (orcid)0000-0001-7704-6785 aut Fernández-Escribano, Gerardo (orcid)0000-0002-0037-2061 aut Ruiz-Coll, Damián aut Martín-Martínez, Sergio (orcid)0000-0002-0986-6068 aut Gómez-Lázaro, Emilio (orcid)0000-0002-3620-3921 aut Enthalten in The journal of supercomputing Springer US, 1987 75(2018), 3 vom: 12. Dez., Seite 1641-1653 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:75 year:2018 number:3 day:12 month:12 pages:1641-1653 https://doi.org/10.1007/s11227-018-2723-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 AR 75 2018 3 12 12 1641-1653 |
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10.1007/s11227-018-2723-9 doi (DE-627)OLC2033957497 (DE-He213)s11227-018-2723-9-p DE-627 ger DE-627 rakwb eng 004 620 VZ Jiménez-Ruiz, Alberto verfasserin aut Wind farm simulations based on a DFIG machine using parallel programming 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract New computational techniques for simulating a large array of wind turbines are highly needed to model modern electrical grid networks. In this paper, an implementation of a doubly fed induction generator wind turbine model solver is proposed. This solver will run on an NVIDIA graphic processing unit, and it will be coded using the compute unified device architecture (CUDA). The implementation will integrate a linear time-invariant system represented by state-space matrices. It has been implemented a CUDA kernel capable of simulating many wind turbines in parallel with different wind profiles and using different configurations. Strategies such as optimizing memory access and overlapping data transfers with the kernel were used to obtain the results. The CUDA implementation reaches an occupancy of 95%, while simulating 500 wind turbines where each unit is subject to a different wind profile or using different configuration parameters. DFIG Wind turbine Parallel programming CUDA Cañas-Carretón, Miguel (orcid)0000-0001-7704-6785 aut Fernández-Escribano, Gerardo (orcid)0000-0002-0037-2061 aut Ruiz-Coll, Damián aut Martín-Martínez, Sergio (orcid)0000-0002-0986-6068 aut Gómez-Lázaro, Emilio (orcid)0000-0002-3620-3921 aut Enthalten in The journal of supercomputing Springer US, 1987 75(2018), 3 vom: 12. Dez., Seite 1641-1653 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:75 year:2018 number:3 day:12 month:12 pages:1641-1653 https://doi.org/10.1007/s11227-018-2723-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 AR 75 2018 3 12 12 1641-1653 |
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Wind farm simulations based on a DFIG machine using parallel programming |
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Abstract New computational techniques for simulating a large array of wind turbines are highly needed to model modern electrical grid networks. In this paper, an implementation of a doubly fed induction generator wind turbine model solver is proposed. This solver will run on an NVIDIA graphic processing unit, and it will be coded using the compute unified device architecture (CUDA). The implementation will integrate a linear time-invariant system represented by state-space matrices. It has been implemented a CUDA kernel capable of simulating many wind turbines in parallel with different wind profiles and using different configurations. Strategies such as optimizing memory access and overlapping data transfers with the kernel were used to obtain the results. The CUDA implementation reaches an occupancy of 95%, while simulating 500 wind turbines where each unit is subject to a different wind profile or using different configuration parameters. © Springer Science+Business Media, LLC, part of Springer Nature 2018 |
| abstractGer |
Abstract New computational techniques for simulating a large array of wind turbines are highly needed to model modern electrical grid networks. In this paper, an implementation of a doubly fed induction generator wind turbine model solver is proposed. This solver will run on an NVIDIA graphic processing unit, and it will be coded using the compute unified device architecture (CUDA). The implementation will integrate a linear time-invariant system represented by state-space matrices. It has been implemented a CUDA kernel capable of simulating many wind turbines in parallel with different wind profiles and using different configurations. Strategies such as optimizing memory access and overlapping data transfers with the kernel were used to obtain the results. The CUDA implementation reaches an occupancy of 95%, while simulating 500 wind turbines where each unit is subject to a different wind profile or using different configuration parameters. © Springer Science+Business Media, LLC, part of Springer Nature 2018 |
| abstract_unstemmed |
Abstract New computational techniques for simulating a large array of wind turbines are highly needed to model modern electrical grid networks. In this paper, an implementation of a doubly fed induction generator wind turbine model solver is proposed. This solver will run on an NVIDIA graphic processing unit, and it will be coded using the compute unified device architecture (CUDA). The implementation will integrate a linear time-invariant system represented by state-space matrices. It has been implemented a CUDA kernel capable of simulating many wind turbines in parallel with different wind profiles and using different configurations. Strategies such as optimizing memory access and overlapping data transfers with the kernel were used to obtain the results. The CUDA implementation reaches an occupancy of 95%, while simulating 500 wind turbines where each unit is subject to a different wind profile or using different configuration parameters. © Springer Science+Business Media, LLC, part of Springer Nature 2018 |
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| title_short |
Wind farm simulations based on a DFIG machine using parallel programming |
| url |
https://doi.org/10.1007/s11227-018-2723-9 |
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| author2 |
Cañas-Carretón, Miguel Fernández-Escribano, Gerardo Ruiz-Coll, Damián Martín-Martínez, Sergio Gómez-Lázaro, Emilio |
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Cañas-Carretón, Miguel Fernández-Escribano, Gerardo Ruiz-Coll, Damián Martín-Martínez, Sergio Gómez-Lázaro, Emilio |
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| doi_str |
10.1007/s11227-018-2723-9 |
| up_date |
2024-07-03T19:04:32.148Z |
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7.401903 |