Quantitative Analysis Method for Subsynchronous Oscillation Power Propagation Characteristics of Wind Power Connected to Grid
Abstract The subsynchronous oscillation power caused by large-scale wind power connection to the grid and the large-scale propagation of oscillation energy in the grid leads to system power fluctuations and may result in grid cascading accidents. This paper proposes a quantitative analysis method fo...
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Gespeichert in:
| Autor*in: |
Sun, Xuebo [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Anmerkung: |
© The Author(s) under exclusive licence to The Korean Institute of Electrical Engineers 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: Journal of electrical engineering & technology - [Singapore] : Springer Singapore, 2006, 18(2023), 5 vom: 06. März, Seite 3475-3488 |
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| Übergeordnetes Werk: |
volume:18 ; year:2023 ; number:5 ; day:06 ; month:03 ; pages:3475-3488 |
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| DOI / URN: |
10.1007/s42835-023-01435-w |
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| Katalog-ID: |
SPR052984133 |
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| 520 | |a Abstract The subsynchronous oscillation power caused by large-scale wind power connection to the grid and the large-scale propagation of oscillation energy in the grid leads to system power fluctuations and may result in grid cascading accidents. This paper proposes a quantitative analysis method for the propagation and distribution characteristics of the oscillation power. First, the manifestation and formation mechanism of subsynchronous oscillation power is studied based on instantaneous power theory. Second, two quantitative indicators, namely the oscillating power node propagation intensity and branch transfer coefficient, are proposed to characterize the oscillating power propagation characteristics. Analysis of the oscillating power propagation characteristics and their influencing factors shows that the frequency of the oscillating power is the frequency of the system power frequency minus that of the oscillating current. The two quantitative indicators provide an effective method for locating the critical nodes and identifying the propagation path of the oscillating power propagation. Finally, simulations are conducted to verify the accuracy of the theoretical analysis and demonstrate the validity of the proposed quantitative analysis method. | ||
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| 650 | 4 | |a Oscillation power |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Subsynchronous oscillation |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Oscillation propagation characteristics |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Chen, Wei |0 (orcid)0000-0003-4261-1582 |4 aut | |
| 700 | 1 | |a Wei, Zhanhong |4 aut | |
| 700 | 1 | |a Shi, Jinhui |4 aut | |
| 700 | 1 | |a Pei, Xiping |4 aut | |
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10.1007/s42835-023-01435-w doi (DE-627)SPR052984133 (SPR)s42835-023-01435-w-e DE-627 ger DE-627 rakwb eng Sun, Xuebo verfasserin (orcid)0000-0002-8687-3034 aut Quantitative Analysis Method for Subsynchronous Oscillation Power Propagation Characteristics of Wind Power Connected to Grid 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to The Korean Institute of Electrical Engineers 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The subsynchronous oscillation power caused by large-scale wind power connection to the grid and the large-scale propagation of oscillation energy in the grid leads to system power fluctuations and may result in grid cascading accidents. This paper proposes a quantitative analysis method for the propagation and distribution characteristics of the oscillation power. First, the manifestation and formation mechanism of subsynchronous oscillation power is studied based on instantaneous power theory. Second, two quantitative indicators, namely the oscillating power node propagation intensity and branch transfer coefficient, are proposed to characterize the oscillating power propagation characteristics. Analysis of the oscillating power propagation characteristics and their influencing factors shows that the frequency of the oscillating power is the frequency of the system power frequency minus that of the oscillating current. The two quantitative indicators provide an effective method for locating the critical nodes and identifying the propagation path of the oscillating power propagation. Finally, simulations are conducted to verify the accuracy of the theoretical analysis and demonstrate the validity of the proposed quantitative analysis method. Quantitative analysis (dpeaa)DE-He213 Oscillation power (dpeaa)DE-He213 Subsynchronous oscillation (dpeaa)DE-He213 Oscillation propagation characteristics (dpeaa)DE-He213 Chen, Wei (orcid)0000-0003-4261-1582 aut Wei, Zhanhong aut Shi, Jinhui aut Pei, Xiping aut Enthalten in Journal of electrical engineering & technology [Singapore] : Springer Singapore, 2006 18(2023), 5 vom: 06. März, Seite 3475-3488 (DE-627)519202015 (DE-600)2255142-6 2093-7423 nnns volume:18 year:2023 number:5 day:06 month:03 pages:3475-3488 https://dx.doi.org/10.1007/s42835-023-01435-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 18 2023 5 06 03 3475-3488 |
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10.1007/s42835-023-01435-w doi (DE-627)SPR052984133 (SPR)s42835-023-01435-w-e DE-627 ger DE-627 rakwb eng Sun, Xuebo verfasserin (orcid)0000-0002-8687-3034 aut Quantitative Analysis Method for Subsynchronous Oscillation Power Propagation Characteristics of Wind Power Connected to Grid 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to The Korean Institute of Electrical Engineers 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The subsynchronous oscillation power caused by large-scale wind power connection to the grid and the large-scale propagation of oscillation energy in the grid leads to system power fluctuations and may result in grid cascading accidents. This paper proposes a quantitative analysis method for the propagation and distribution characteristics of the oscillation power. First, the manifestation and formation mechanism of subsynchronous oscillation power is studied based on instantaneous power theory. Second, two quantitative indicators, namely the oscillating power node propagation intensity and branch transfer coefficient, are proposed to characterize the oscillating power propagation characteristics. Analysis of the oscillating power propagation characteristics and their influencing factors shows that the frequency of the oscillating power is the frequency of the system power frequency minus that of the oscillating current. The two quantitative indicators provide an effective method for locating the critical nodes and identifying the propagation path of the oscillating power propagation. Finally, simulations are conducted to verify the accuracy of the theoretical analysis and demonstrate the validity of the proposed quantitative analysis method. Quantitative analysis (dpeaa)DE-He213 Oscillation power (dpeaa)DE-He213 Subsynchronous oscillation (dpeaa)DE-He213 Oscillation propagation characteristics (dpeaa)DE-He213 Chen, Wei (orcid)0000-0003-4261-1582 aut Wei, Zhanhong aut Shi, Jinhui aut Pei, Xiping aut Enthalten in Journal of electrical engineering & technology [Singapore] : Springer Singapore, 2006 18(2023), 5 vom: 06. März, Seite 3475-3488 (DE-627)519202015 (DE-600)2255142-6 2093-7423 nnns volume:18 year:2023 number:5 day:06 month:03 pages:3475-3488 https://dx.doi.org/10.1007/s42835-023-01435-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 18 2023 5 06 03 3475-3488 |
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10.1007/s42835-023-01435-w doi (DE-627)SPR052984133 (SPR)s42835-023-01435-w-e DE-627 ger DE-627 rakwb eng Sun, Xuebo verfasserin (orcid)0000-0002-8687-3034 aut Quantitative Analysis Method for Subsynchronous Oscillation Power Propagation Characteristics of Wind Power Connected to Grid 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to The Korean Institute of Electrical Engineers 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The subsynchronous oscillation power caused by large-scale wind power connection to the grid and the large-scale propagation of oscillation energy in the grid leads to system power fluctuations and may result in grid cascading accidents. This paper proposes a quantitative analysis method for the propagation and distribution characteristics of the oscillation power. First, the manifestation and formation mechanism of subsynchronous oscillation power is studied based on instantaneous power theory. Second, two quantitative indicators, namely the oscillating power node propagation intensity and branch transfer coefficient, are proposed to characterize the oscillating power propagation characteristics. Analysis of the oscillating power propagation characteristics and their influencing factors shows that the frequency of the oscillating power is the frequency of the system power frequency minus that of the oscillating current. The two quantitative indicators provide an effective method for locating the critical nodes and identifying the propagation path of the oscillating power propagation. Finally, simulations are conducted to verify the accuracy of the theoretical analysis and demonstrate the validity of the proposed quantitative analysis method. Quantitative analysis (dpeaa)DE-He213 Oscillation power (dpeaa)DE-He213 Subsynchronous oscillation (dpeaa)DE-He213 Oscillation propagation characteristics (dpeaa)DE-He213 Chen, Wei (orcid)0000-0003-4261-1582 aut Wei, Zhanhong aut Shi, Jinhui aut Pei, Xiping aut Enthalten in Journal of electrical engineering & technology [Singapore] : Springer Singapore, 2006 18(2023), 5 vom: 06. März, Seite 3475-3488 (DE-627)519202015 (DE-600)2255142-6 2093-7423 nnns volume:18 year:2023 number:5 day:06 month:03 pages:3475-3488 https://dx.doi.org/10.1007/s42835-023-01435-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 18 2023 5 06 03 3475-3488 |
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10.1007/s42835-023-01435-w doi (DE-627)SPR052984133 (SPR)s42835-023-01435-w-e DE-627 ger DE-627 rakwb eng Sun, Xuebo verfasserin (orcid)0000-0002-8687-3034 aut Quantitative Analysis Method for Subsynchronous Oscillation Power Propagation Characteristics of Wind Power Connected to Grid 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to The Korean Institute of Electrical Engineers 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The subsynchronous oscillation power caused by large-scale wind power connection to the grid and the large-scale propagation of oscillation energy in the grid leads to system power fluctuations and may result in grid cascading accidents. This paper proposes a quantitative analysis method for the propagation and distribution characteristics of the oscillation power. First, the manifestation and formation mechanism of subsynchronous oscillation power is studied based on instantaneous power theory. Second, two quantitative indicators, namely the oscillating power node propagation intensity and branch transfer coefficient, are proposed to characterize the oscillating power propagation characteristics. Analysis of the oscillating power propagation characteristics and their influencing factors shows that the frequency of the oscillating power is the frequency of the system power frequency minus that of the oscillating current. The two quantitative indicators provide an effective method for locating the critical nodes and identifying the propagation path of the oscillating power propagation. Finally, simulations are conducted to verify the accuracy of the theoretical analysis and demonstrate the validity of the proposed quantitative analysis method. Quantitative analysis (dpeaa)DE-He213 Oscillation power (dpeaa)DE-He213 Subsynchronous oscillation (dpeaa)DE-He213 Oscillation propagation characteristics (dpeaa)DE-He213 Chen, Wei (orcid)0000-0003-4261-1582 aut Wei, Zhanhong aut Shi, Jinhui aut Pei, Xiping aut Enthalten in Journal of electrical engineering & technology [Singapore] : Springer Singapore, 2006 18(2023), 5 vom: 06. März, Seite 3475-3488 (DE-627)519202015 (DE-600)2255142-6 2093-7423 nnns volume:18 year:2023 number:5 day:06 month:03 pages:3475-3488 https://dx.doi.org/10.1007/s42835-023-01435-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 18 2023 5 06 03 3475-3488 |
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10.1007/s42835-023-01435-w doi (DE-627)SPR052984133 (SPR)s42835-023-01435-w-e DE-627 ger DE-627 rakwb eng Sun, Xuebo verfasserin (orcid)0000-0002-8687-3034 aut Quantitative Analysis Method for Subsynchronous Oscillation Power Propagation Characteristics of Wind Power Connected to Grid 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to The Korean Institute of Electrical Engineers 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The subsynchronous oscillation power caused by large-scale wind power connection to the grid and the large-scale propagation of oscillation energy in the grid leads to system power fluctuations and may result in grid cascading accidents. This paper proposes a quantitative analysis method for the propagation and distribution characteristics of the oscillation power. First, the manifestation and formation mechanism of subsynchronous oscillation power is studied based on instantaneous power theory. Second, two quantitative indicators, namely the oscillating power node propagation intensity and branch transfer coefficient, are proposed to characterize the oscillating power propagation characteristics. Analysis of the oscillating power propagation characteristics and their influencing factors shows that the frequency of the oscillating power is the frequency of the system power frequency minus that of the oscillating current. The two quantitative indicators provide an effective method for locating the critical nodes and identifying the propagation path of the oscillating power propagation. Finally, simulations are conducted to verify the accuracy of the theoretical analysis and demonstrate the validity of the proposed quantitative analysis method. Quantitative analysis (dpeaa)DE-He213 Oscillation power (dpeaa)DE-He213 Subsynchronous oscillation (dpeaa)DE-He213 Oscillation propagation characteristics (dpeaa)DE-He213 Chen, Wei (orcid)0000-0003-4261-1582 aut Wei, Zhanhong aut Shi, Jinhui aut Pei, Xiping aut Enthalten in Journal of electrical engineering & technology [Singapore] : Springer Singapore, 2006 18(2023), 5 vom: 06. März, Seite 3475-3488 (DE-627)519202015 (DE-600)2255142-6 2093-7423 nnns volume:18 year:2023 number:5 day:06 month:03 pages:3475-3488 https://dx.doi.org/10.1007/s42835-023-01435-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 18 2023 5 06 03 3475-3488 |
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The subsynchronous oscillation power caused by large-scale wind power connection to the grid and the large-scale propagation of oscillation energy in the grid leads to system power fluctuations and may result in grid cascading accidents. This paper proposes a quantitative analysis method for the propagation and distribution characteristics of the oscillation power. First, the manifestation and formation mechanism of subsynchronous oscillation power is studied based on instantaneous power theory. Second, two quantitative indicators, namely the oscillating power node propagation intensity and branch transfer coefficient, are proposed to characterize the oscillating power propagation characteristics. Analysis of the oscillating power propagation characteristics and their influencing factors shows that the frequency of the oscillating power is the frequency of the system power frequency minus that of the oscillating current. The two quantitative indicators provide an effective method for locating the critical nodes and identifying the propagation path of the oscillating power propagation. 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Sun, Xuebo |
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Quantitative Analysis Method for Subsynchronous Oscillation Power Propagation Characteristics of Wind Power Connected to Grid Quantitative analysis (dpeaa)DE-He213 Oscillation power (dpeaa)DE-He213 Subsynchronous oscillation (dpeaa)DE-He213 Oscillation propagation characteristics (dpeaa)DE-He213 |
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quantitative analysis method for subsynchronous oscillation power propagation characteristics of wind power connected to grid |
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Quantitative Analysis Method for Subsynchronous Oscillation Power Propagation Characteristics of Wind Power Connected to Grid |
| abstract |
Abstract The subsynchronous oscillation power caused by large-scale wind power connection to the grid and the large-scale propagation of oscillation energy in the grid leads to system power fluctuations and may result in grid cascading accidents. This paper proposes a quantitative analysis method for the propagation and distribution characteristics of the oscillation power. First, the manifestation and formation mechanism of subsynchronous oscillation power is studied based on instantaneous power theory. Second, two quantitative indicators, namely the oscillating power node propagation intensity and branch transfer coefficient, are proposed to characterize the oscillating power propagation characteristics. Analysis of the oscillating power propagation characteristics and their influencing factors shows that the frequency of the oscillating power is the frequency of the system power frequency minus that of the oscillating current. The two quantitative indicators provide an effective method for locating the critical nodes and identifying the propagation path of the oscillating power propagation. Finally, simulations are conducted to verify the accuracy of the theoretical analysis and demonstrate the validity of the proposed quantitative analysis method. © The Author(s) under exclusive licence to The Korean Institute of Electrical Engineers 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Abstract The subsynchronous oscillation power caused by large-scale wind power connection to the grid and the large-scale propagation of oscillation energy in the grid leads to system power fluctuations and may result in grid cascading accidents. This paper proposes a quantitative analysis method for the propagation and distribution characteristics of the oscillation power. First, the manifestation and formation mechanism of subsynchronous oscillation power is studied based on instantaneous power theory. Second, two quantitative indicators, namely the oscillating power node propagation intensity and branch transfer coefficient, are proposed to characterize the oscillating power propagation characteristics. Analysis of the oscillating power propagation characteristics and their influencing factors shows that the frequency of the oscillating power is the frequency of the system power frequency minus that of the oscillating current. The two quantitative indicators provide an effective method for locating the critical nodes and identifying the propagation path of the oscillating power propagation. Finally, simulations are conducted to verify the accuracy of the theoretical analysis and demonstrate the validity of the proposed quantitative analysis method. © The Author(s) under exclusive licence to The Korean Institute of Electrical Engineers 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract The subsynchronous oscillation power caused by large-scale wind power connection to the grid and the large-scale propagation of oscillation energy in the grid leads to system power fluctuations and may result in grid cascading accidents. This paper proposes a quantitative analysis method for the propagation and distribution characteristics of the oscillation power. First, the manifestation and formation mechanism of subsynchronous oscillation power is studied based on instantaneous power theory. Second, two quantitative indicators, namely the oscillating power node propagation intensity and branch transfer coefficient, are proposed to characterize the oscillating power propagation characteristics. Analysis of the oscillating power propagation characteristics and their influencing factors shows that the frequency of the oscillating power is the frequency of the system power frequency minus that of the oscillating current. The two quantitative indicators provide an effective method for locating the critical nodes and identifying the propagation path of the oscillating power propagation. Finally, simulations are conducted to verify the accuracy of the theoretical analysis and demonstrate the validity of the proposed quantitative analysis method. © The Author(s) under exclusive licence to The Korean Institute of Electrical Engineers 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| title_short |
Quantitative Analysis Method for Subsynchronous Oscillation Power Propagation Characteristics of Wind Power Connected to Grid |
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https://dx.doi.org/10.1007/s42835-023-01435-w |
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Chen, Wei Wei, Zhanhong Shi, Jinhui Pei, Xiping |
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Chen, Wei Wei, Zhanhong Shi, Jinhui Pei, Xiping |
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10.1007/s42835-023-01435-w |
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2024-07-03T16:12:58.554Z |
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| score |
7.401045 |