Power system restoration: a literature review from 2006 to 2016
Power system restoration has attracted more attention and made great progress recently. Research progress of the power system restoration from 2006 to 2016 is reviewed in this paper, including black-start, network reconfiguration and load restoration. Some emerging methods and key techniques are als...
Ausführliche Beschreibung
Autor*in: |
Yutian Liu [verfasserIn] Rui Fan [verfasserIn] Vladimir Terzija [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2016 |
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Übergeordnetes Werk: |
In: Journal of Modern Power Systems and Clean Energy - IEEE, 2016, 4(2016), 3, Seite 332-341 |
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Übergeordnetes Werk: |
volume:4 ; year:2016 ; number:3 ; pages:332-341 |
Links: |
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DOI / URN: |
10.1007/s40565-016-0219-2 |
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Katalog-ID: |
DOAJ06885210X |
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10.1007/s40565-016-0219-2 doi (DE-627)DOAJ06885210X (DE-599)DOAJ475e49ea14ec421e806ec95a8419c2cf DE-627 ger DE-627 rakwb eng TK1001-1841 TJ807-830 Yutian Liu verfasserin aut Power system restoration: a literature review from 2006 to 2016 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Power system restoration has attracted more attention and made great progress recently. Research progress of the power system restoration from 2006 to 2016 is reviewed in this paper, including black-start, network reconfiguration and load restoration. Some emerging methods and key techniques are also discussed in the context of the integration of variable renewable energy and development of the smart grid. There is a long way to go to achieve automatic self-healing in bulk power systems because of its extreme complexity. However, rapidly developing artificial intelligence technology will eventually enable the step-by-step dynamic decision-making based on the situation awareness of supervisory control and data acquisition systems (SCADA) and wide area measurement systems (WAMS) in the near future. Large-scale blackout Power system restoration Self-healing Smart grid Renewable energy Wide area measurement system (WAMS) Production of electric energy or power. Powerplants. Central stations Renewable energy sources Rui Fan verfasserin aut Vladimir Terzija verfasserin aut In Journal of Modern Power Systems and Clean Energy IEEE, 2016 4(2016), 3, Seite 332-341 (DE-627)75682821X (DE-600)2727912-1 21965420 nnns volume:4 year:2016 number:3 pages:332-341 https://doi.org/10.1007/s40565-016-0219-2 kostenfrei https://doaj.org/article/475e49ea14ec421e806ec95a8419c2cf kostenfrei https://ieeexplore.ieee.org/document/8939530/ kostenfrei https://doaj.org/toc/2196-5420 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2016 3 332-341 |
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10.1007/s40565-016-0219-2 doi (DE-627)DOAJ06885210X (DE-599)DOAJ475e49ea14ec421e806ec95a8419c2cf DE-627 ger DE-627 rakwb eng TK1001-1841 TJ807-830 Yutian Liu verfasserin aut Power system restoration: a literature review from 2006 to 2016 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Power system restoration has attracted more attention and made great progress recently. Research progress of the power system restoration from 2006 to 2016 is reviewed in this paper, including black-start, network reconfiguration and load restoration. Some emerging methods and key techniques are also discussed in the context of the integration of variable renewable energy and development of the smart grid. There is a long way to go to achieve automatic self-healing in bulk power systems because of its extreme complexity. However, rapidly developing artificial intelligence technology will eventually enable the step-by-step dynamic decision-making based on the situation awareness of supervisory control and data acquisition systems (SCADA) and wide area measurement systems (WAMS) in the near future. Large-scale blackout Power system restoration Self-healing Smart grid Renewable energy Wide area measurement system (WAMS) Production of electric energy or power. Powerplants. Central stations Renewable energy sources Rui Fan verfasserin aut Vladimir Terzija verfasserin aut In Journal of Modern Power Systems and Clean Energy IEEE, 2016 4(2016), 3, Seite 332-341 (DE-627)75682821X (DE-600)2727912-1 21965420 nnns volume:4 year:2016 number:3 pages:332-341 https://doi.org/10.1007/s40565-016-0219-2 kostenfrei https://doaj.org/article/475e49ea14ec421e806ec95a8419c2cf kostenfrei https://ieeexplore.ieee.org/document/8939530/ kostenfrei https://doaj.org/toc/2196-5420 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2016 3 332-341 |
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10.1007/s40565-016-0219-2 doi (DE-627)DOAJ06885210X (DE-599)DOAJ475e49ea14ec421e806ec95a8419c2cf DE-627 ger DE-627 rakwb eng TK1001-1841 TJ807-830 Yutian Liu verfasserin aut Power system restoration: a literature review from 2006 to 2016 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Power system restoration has attracted more attention and made great progress recently. Research progress of the power system restoration from 2006 to 2016 is reviewed in this paper, including black-start, network reconfiguration and load restoration. Some emerging methods and key techniques are also discussed in the context of the integration of variable renewable energy and development of the smart grid. There is a long way to go to achieve automatic self-healing in bulk power systems because of its extreme complexity. However, rapidly developing artificial intelligence technology will eventually enable the step-by-step dynamic decision-making based on the situation awareness of supervisory control and data acquisition systems (SCADA) and wide area measurement systems (WAMS) in the near future. Large-scale blackout Power system restoration Self-healing Smart grid Renewable energy Wide area measurement system (WAMS) Production of electric energy or power. Powerplants. Central stations Renewable energy sources Rui Fan verfasserin aut Vladimir Terzija verfasserin aut In Journal of Modern Power Systems and Clean Energy IEEE, 2016 4(2016), 3, Seite 332-341 (DE-627)75682821X (DE-600)2727912-1 21965420 nnns volume:4 year:2016 number:3 pages:332-341 https://doi.org/10.1007/s40565-016-0219-2 kostenfrei https://doaj.org/article/475e49ea14ec421e806ec95a8419c2cf kostenfrei https://ieeexplore.ieee.org/document/8939530/ kostenfrei https://doaj.org/toc/2196-5420 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2016 3 332-341 |
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10.1007/s40565-016-0219-2 doi (DE-627)DOAJ06885210X (DE-599)DOAJ475e49ea14ec421e806ec95a8419c2cf DE-627 ger DE-627 rakwb eng TK1001-1841 TJ807-830 Yutian Liu verfasserin aut Power system restoration: a literature review from 2006 to 2016 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Power system restoration has attracted more attention and made great progress recently. Research progress of the power system restoration from 2006 to 2016 is reviewed in this paper, including black-start, network reconfiguration and load restoration. Some emerging methods and key techniques are also discussed in the context of the integration of variable renewable energy and development of the smart grid. There is a long way to go to achieve automatic self-healing in bulk power systems because of its extreme complexity. However, rapidly developing artificial intelligence technology will eventually enable the step-by-step dynamic decision-making based on the situation awareness of supervisory control and data acquisition systems (SCADA) and wide area measurement systems (WAMS) in the near future. Large-scale blackout Power system restoration Self-healing Smart grid Renewable energy Wide area measurement system (WAMS) Production of electric energy or power. Powerplants. Central stations Renewable energy sources Rui Fan verfasserin aut Vladimir Terzija verfasserin aut In Journal of Modern Power Systems and Clean Energy IEEE, 2016 4(2016), 3, Seite 332-341 (DE-627)75682821X (DE-600)2727912-1 21965420 nnns volume:4 year:2016 number:3 pages:332-341 https://doi.org/10.1007/s40565-016-0219-2 kostenfrei https://doaj.org/article/475e49ea14ec421e806ec95a8419c2cf kostenfrei https://ieeexplore.ieee.org/document/8939530/ kostenfrei https://doaj.org/toc/2196-5420 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2016 3 332-341 |
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Power system restoration has attracted more attention and made great progress recently. Research progress of the power system restoration from 2006 to 2016 is reviewed in this paper, including black-start, network reconfiguration and load restoration. Some emerging methods and key techniques are also discussed in the context of the integration of variable renewable energy and development of the smart grid. There is a long way to go to achieve automatic self-healing in bulk power systems because of its extreme complexity. However, rapidly developing artificial intelligence technology will eventually enable the step-by-step dynamic decision-making based on the situation awareness of supervisory control and data acquisition systems (SCADA) and wide area measurement systems (WAMS) in the near future. |
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Power system restoration has attracted more attention and made great progress recently. Research progress of the power system restoration from 2006 to 2016 is reviewed in this paper, including black-start, network reconfiguration and load restoration. Some emerging methods and key techniques are also discussed in the context of the integration of variable renewable energy and development of the smart grid. There is a long way to go to achieve automatic self-healing in bulk power systems because of its extreme complexity. However, rapidly developing artificial intelligence technology will eventually enable the step-by-step dynamic decision-making based on the situation awareness of supervisory control and data acquisition systems (SCADA) and wide area measurement systems (WAMS) in the near future. |
abstract_unstemmed |
Power system restoration has attracted more attention and made great progress recently. Research progress of the power system restoration from 2006 to 2016 is reviewed in this paper, including black-start, network reconfiguration and load restoration. Some emerging methods and key techniques are also discussed in the context of the integration of variable renewable energy and development of the smart grid. There is a long way to go to achieve automatic self-healing in bulk power systems because of its extreme complexity. However, rapidly developing artificial intelligence technology will eventually enable the step-by-step dynamic decision-making based on the situation awareness of supervisory control and data acquisition systems (SCADA) and wide area measurement systems (WAMS) in the near future. |
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|
score |
7.3998413 |