Smoothing ramp events in wind farm based on dynamic programming in energy internet

Abstract The concept of energy internet has been gradually accepted, which can optimize the consumption of fossil energy and renewable energy resources. When wind power is integrated into the main grid, ramp events caused by stochastic wind power fluctuation may threaten the security of power system...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Li, Jiang [verfasserIn] Liu, Guodong [verfasserIn] Zhang, Shuo [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	energy internet wind power ramp events dynamic programming

Übergeordnetes Werk:	Enthalten in: Frontiers of energy and power engineering in China - Beijing : Higher Education Press, 2007, 12(2018), 4 vom: 29. Nov., Seite 550-559
Übergeordnetes Werk:	volume:12 ; year:2018 ; number:4 ; day:29 ; month:11 ; pages:550-559

Links:	Volltext

DOI / URN:	10.1007/s11708-018-0593-8

Katalog-ID:	SPR021974411

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allfields	10.1007/s11708-018-0593-8 doi (DE-627)SPR021974411 (SPR)s11708-018-0593-8-e DE-627 ger DE-627 rakwb eng 690 ASE Li, Jiang verfasserin aut Smoothing ramp events in wind farm based on dynamic programming in energy internet 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The concept of energy internet has been gradually accepted, which can optimize the consumption of fossil energy and renewable energy resources. When wind power is integrated into the main grid, ramp events caused by stochastic wind power fluctuation may threaten the security of power systems. This paper proposes a dynamic programming method in smoothing ramp events. First, the energy internet model of wind power, pumped storage power station, and gas power station is established. Then, the optimization problem in the energy internet is transformed into a multi-stage dynamic programming problem, and the dynamic programming method proposed is applied to solve the optimization problem. Finally, the evaluation functions are introduced to evaluate pollutant emissions. The results show that the dynamic programming method proposed is effective for smoothing wind power and reducing ramp events in energy internet. energy internet (dpeaa)DE-He213 wind power (dpeaa)DE-He213 ramp events (dpeaa)DE-He213 dynamic programming (dpeaa)DE-He213 Liu, Guodong verfasserin aut Zhang, Shuo verfasserin aut Enthalten in Frontiers of energy and power engineering in China Beijing : Higher Education Press, 2007 12(2018), 4 vom: 29. Nov., Seite 550-559 (DE-627)546007775 (DE-600)2389481-7 1673-7504 nnns volume:12 year:2018 number:4 day:29 month:11 pages:550-559 https://dx.doi.org/10.1007/s11708-018-0593-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_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_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2027 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4126 AR 12 2018 4 29 11 550-559
spelling	10.1007/s11708-018-0593-8 doi (DE-627)SPR021974411 (SPR)s11708-018-0593-8-e DE-627 ger DE-627 rakwb eng 690 ASE Li, Jiang verfasserin aut Smoothing ramp events in wind farm based on dynamic programming in energy internet 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The concept of energy internet has been gradually accepted, which can optimize the consumption of fossil energy and renewable energy resources. When wind power is integrated into the main grid, ramp events caused by stochastic wind power fluctuation may threaten the security of power systems. This paper proposes a dynamic programming method in smoothing ramp events. First, the energy internet model of wind power, pumped storage power station, and gas power station is established. Then, the optimization problem in the energy internet is transformed into a multi-stage dynamic programming problem, and the dynamic programming method proposed is applied to solve the optimization problem. Finally, the evaluation functions are introduced to evaluate pollutant emissions. The results show that the dynamic programming method proposed is effective for smoothing wind power and reducing ramp events in energy internet. energy internet (dpeaa)DE-He213 wind power (dpeaa)DE-He213 ramp events (dpeaa)DE-He213 dynamic programming (dpeaa)DE-He213 Liu, Guodong verfasserin aut Zhang, Shuo verfasserin aut Enthalten in Frontiers of energy and power engineering in China Beijing : Higher Education Press, 2007 12(2018), 4 vom: 29. Nov., Seite 550-559 (DE-627)546007775 (DE-600)2389481-7 1673-7504 nnns volume:12 year:2018 number:4 day:29 month:11 pages:550-559 https://dx.doi.org/10.1007/s11708-018-0593-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_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_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2027 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4126 AR 12 2018 4 29 11 550-559
allfields_unstemmed	10.1007/s11708-018-0593-8 doi (DE-627)SPR021974411 (SPR)s11708-018-0593-8-e DE-627 ger DE-627 rakwb eng 690 ASE Li, Jiang verfasserin aut Smoothing ramp events in wind farm based on dynamic programming in energy internet 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The concept of energy internet has been gradually accepted, which can optimize the consumption of fossil energy and renewable energy resources. When wind power is integrated into the main grid, ramp events caused by stochastic wind power fluctuation may threaten the security of power systems. This paper proposes a dynamic programming method in smoothing ramp events. First, the energy internet model of wind power, pumped storage power station, and gas power station is established. Then, the optimization problem in the energy internet is transformed into a multi-stage dynamic programming problem, and the dynamic programming method proposed is applied to solve the optimization problem. Finally, the evaluation functions are introduced to evaluate pollutant emissions. The results show that the dynamic programming method proposed is effective for smoothing wind power and reducing ramp events in energy internet. energy internet (dpeaa)DE-He213 wind power (dpeaa)DE-He213 ramp events (dpeaa)DE-He213 dynamic programming (dpeaa)DE-He213 Liu, Guodong verfasserin aut Zhang, Shuo verfasserin aut Enthalten in Frontiers of energy and power engineering in China Beijing : Higher Education Press, 2007 12(2018), 4 vom: 29. Nov., Seite 550-559 (DE-627)546007775 (DE-600)2389481-7 1673-7504 nnns volume:12 year:2018 number:4 day:29 month:11 pages:550-559 https://dx.doi.org/10.1007/s11708-018-0593-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_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_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2027 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4126 AR 12 2018 4 29 11 550-559
allfieldsGer	10.1007/s11708-018-0593-8 doi (DE-627)SPR021974411 (SPR)s11708-018-0593-8-e DE-627 ger DE-627 rakwb eng 690 ASE Li, Jiang verfasserin aut Smoothing ramp events in wind farm based on dynamic programming in energy internet 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The concept of energy internet has been gradually accepted, which can optimize the consumption of fossil energy and renewable energy resources. When wind power is integrated into the main grid, ramp events caused by stochastic wind power fluctuation may threaten the security of power systems. This paper proposes a dynamic programming method in smoothing ramp events. First, the energy internet model of wind power, pumped storage power station, and gas power station is established. Then, the optimization problem in the energy internet is transformed into a multi-stage dynamic programming problem, and the dynamic programming method proposed is applied to solve the optimization problem. Finally, the evaluation functions are introduced to evaluate pollutant emissions. The results show that the dynamic programming method proposed is effective for smoothing wind power and reducing ramp events in energy internet. energy internet (dpeaa)DE-He213 wind power (dpeaa)DE-He213 ramp events (dpeaa)DE-He213 dynamic programming (dpeaa)DE-He213 Liu, Guodong verfasserin aut Zhang, Shuo verfasserin aut Enthalten in Frontiers of energy and power engineering in China Beijing : Higher Education Press, 2007 12(2018), 4 vom: 29. Nov., Seite 550-559 (DE-627)546007775 (DE-600)2389481-7 1673-7504 nnns volume:12 year:2018 number:4 day:29 month:11 pages:550-559 https://dx.doi.org/10.1007/s11708-018-0593-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_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_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2027 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4126 AR 12 2018 4 29 11 550-559
allfieldsSound	10.1007/s11708-018-0593-8 doi (DE-627)SPR021974411 (SPR)s11708-018-0593-8-e DE-627 ger DE-627 rakwb eng 690 ASE Li, Jiang verfasserin aut Smoothing ramp events in wind farm based on dynamic programming in energy internet 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The concept of energy internet has been gradually accepted, which can optimize the consumption of fossil energy and renewable energy resources. When wind power is integrated into the main grid, ramp events caused by stochastic wind power fluctuation may threaten the security of power systems. This paper proposes a dynamic programming method in smoothing ramp events. First, the energy internet model of wind power, pumped storage power station, and gas power station is established. Then, the optimization problem in the energy internet is transformed into a multi-stage dynamic programming problem, and the dynamic programming method proposed is applied to solve the optimization problem. Finally, the evaluation functions are introduced to evaluate pollutant emissions. The results show that the dynamic programming method proposed is effective for smoothing wind power and reducing ramp events in energy internet. energy internet (dpeaa)DE-He213 wind power (dpeaa)DE-He213 ramp events (dpeaa)DE-He213 dynamic programming (dpeaa)DE-He213 Liu, Guodong verfasserin aut Zhang, Shuo verfasserin aut Enthalten in Frontiers of energy and power engineering in China Beijing : Higher Education Press, 2007 12(2018), 4 vom: 29. Nov., Seite 550-559 (DE-627)546007775 (DE-600)2389481-7 1673-7504 nnns volume:12 year:2018 number:4 day:29 month:11 pages:550-559 https://dx.doi.org/10.1007/s11708-018-0593-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_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_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2027 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4126 AR 12 2018 4 29 11 550-559
language	English
source	Enthalten in Frontiers of energy and power engineering in China 12(2018), 4 vom: 29. Nov., Seite 550-559 volume:12 year:2018 number:4 day:29 month:11 pages:550-559
sourceStr	Enthalten in Frontiers of energy and power engineering in China 12(2018), 4 vom: 29. Nov., Seite 550-559 volume:12 year:2018 number:4 day:29 month:11 pages:550-559
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topic_facet	energy internet wind power ramp events dynamic programming
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author	Li, Jiang
spellingShingle	Li, Jiang ddc 690 misc energy internet misc wind power misc ramp events misc dynamic programming Smoothing ramp events in wind farm based on dynamic programming in energy internet
authorStr	Li, Jiang
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topic_title	690 ASE Smoothing ramp events in wind farm based on dynamic programming in energy internet energy internet (dpeaa)DE-He213 wind power (dpeaa)DE-He213 ramp events (dpeaa)DE-He213 dynamic programming (dpeaa)DE-He213
topic	ddc 690 misc energy internet misc wind power misc ramp events misc dynamic programming
topic_unstemmed	ddc 690 misc energy internet misc wind power misc ramp events misc dynamic programming
topic_browse	ddc 690 misc energy internet misc wind power misc ramp events misc dynamic programming
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title	Smoothing ramp events in wind farm based on dynamic programming in energy internet
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title_full	Smoothing ramp events in wind farm based on dynamic programming in energy internet
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author_browse	Li, Jiang Liu, Guodong Zhang, Shuo
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title_sort	smoothing ramp events in wind farm based on dynamic programming in energy internet
title_auth	Smoothing ramp events in wind farm based on dynamic programming in energy internet
abstract	Abstract The concept of energy internet has been gradually accepted, which can optimize the consumption of fossil energy and renewable energy resources. When wind power is integrated into the main grid, ramp events caused by stochastic wind power fluctuation may threaten the security of power systems. This paper proposes a dynamic programming method in smoothing ramp events. First, the energy internet model of wind power, pumped storage power station, and gas power station is established. Then, the optimization problem in the energy internet is transformed into a multi-stage dynamic programming problem, and the dynamic programming method proposed is applied to solve the optimization problem. Finally, the evaluation functions are introduced to evaluate pollutant emissions. The results show that the dynamic programming method proposed is effective for smoothing wind power and reducing ramp events in energy internet.
abstractGer	Abstract The concept of energy internet has been gradually accepted, which can optimize the consumption of fossil energy and renewable energy resources. When wind power is integrated into the main grid, ramp events caused by stochastic wind power fluctuation may threaten the security of power systems. This paper proposes a dynamic programming method in smoothing ramp events. First, the energy internet model of wind power, pumped storage power station, and gas power station is established. Then, the optimization problem in the energy internet is transformed into a multi-stage dynamic programming problem, and the dynamic programming method proposed is applied to solve the optimization problem. Finally, the evaluation functions are introduced to evaluate pollutant emissions. The results show that the dynamic programming method proposed is effective for smoothing wind power and reducing ramp events in energy internet.
abstract_unstemmed	Abstract The concept of energy internet has been gradually accepted, which can optimize the consumption of fossil energy and renewable energy resources. When wind power is integrated into the main grid, ramp events caused by stochastic wind power fluctuation may threaten the security of power systems. This paper proposes a dynamic programming method in smoothing ramp events. First, the energy internet model of wind power, pumped storage power station, and gas power station is established. Then, the optimization problem in the energy internet is transformed into a multi-stage dynamic programming problem, and the dynamic programming method proposed is applied to solve the optimization problem. Finally, the evaluation functions are introduced to evaluate pollutant emissions. The results show that the dynamic programming method proposed is effective for smoothing wind power and reducing ramp events in energy internet.
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title_short	Smoothing ramp events in wind farm based on dynamic programming in energy internet
url	https://dx.doi.org/10.1007/s11708-018-0593-8
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author2	Liu, Guodong Zhang, Shuo
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doi_str	10.1007/s11708-018-0593-8
up_date	2024-07-04T01:14:52.891Z
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