Primal dual interior point dynamic programming for coordinated charging of electric vehicles

Abstract Coordinated charging of electric vehicles (EVs) is critical to provide safe and cost effective operation of distribution systems where household single phase charging of EV could contribute to imbalance of the distribution system. To date, reported researches on optimization methods for coo...
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Autor*in:	ZHANG, Jian [verfasserIn] HE, Yigang CUI, Mingjian LU, Yongling

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2016

Schlagwörter:	Electric vehicles (EVs) Coordinated charging Primal dual interior point programming Distribution system Power losses

Anmerkung:	© The Author(s) 2016

Übergeordnetes Werk:	Enthalten in: Journal of modern power systems and clean energy - Nanjing : NARI, 2013, 5(2016), 6 vom: 09. Aug., Seite 1004-1015
Übergeordnetes Werk:	volume:5 ; year:2016 ; number:6 ; day:09 ; month:08 ; pages:1004-1015

Links:	Volltext

DOI / URN:	10.1007/s40565-016-0224-5

Katalog-ID:	SPR036671517

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520			\|a Abstract Coordinated charging of electric vehicles (EVs) is critical to provide safe and cost effective operation of distribution systems where household single phase charging of EV could contribute to imbalance of the distribution system. To date, reported researches on optimization methods for coordinated charging aiming at minimizing power losses have the disadvantages of low calculation efficiency when applied to large systems or have not taken the voltage constraints into account. The phase component and polar coordinates power flow equations of an unbalanced distribution system are derived. Primal dual interior point dynamic programming is introduced for coordinated charging of EVs to minimize distribution system losses where charging demand, voltage and current constraints have been taken into account. The proposed optimization is evaluated using an actual 423-bus case as the test system. Results are promising with the proposed method having good convergence under time-efficient calculations while providing optimization of power losses, lower load variance, and improvement of voltage profile versus uncoordinated scenarios.
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allfields	10.1007/s40565-016-0224-5 doi (DE-627)SPR036671517 (SPR)s40565-016-0224-5-e DE-627 ger DE-627 rakwb eng ZHANG, Jian verfasserin aut Primal dual interior point dynamic programming for coordinated charging of electric vehicles 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2016 Abstract Coordinated charging of electric vehicles (EVs) is critical to provide safe and cost effective operation of distribution systems where household single phase charging of EV could contribute to imbalance of the distribution system. To date, reported researches on optimization methods for coordinated charging aiming at minimizing power losses have the disadvantages of low calculation efficiency when applied to large systems or have not taken the voltage constraints into account. The phase component and polar coordinates power flow equations of an unbalanced distribution system are derived. Primal dual interior point dynamic programming is introduced for coordinated charging of EVs to minimize distribution system losses where charging demand, voltage and current constraints have been taken into account. The proposed optimization is evaluated using an actual 423-bus case as the test system. Results are promising with the proposed method having good convergence under time-efficient calculations while providing optimization of power losses, lower load variance, and improvement of voltage profile versus uncoordinated scenarios. Electric vehicles (EVs) (dpeaa)DE-He213 Coordinated charging (dpeaa)DE-He213 Primal dual interior point programming (dpeaa)DE-He213 Distribution system (dpeaa)DE-He213 Power losses (dpeaa)DE-He213 HE, Yigang aut CUI, Mingjian aut LU, Yongling aut Enthalten in Journal of modern power systems and clean energy Nanjing : NARI, 2013 5(2016), 6 vom: 09. Aug., Seite 1004-1015 (DE-627)75682821X (DE-600)2727912-1 2196-5420 nnns volume:5 year:2016 number:6 day:09 month:08 pages:1004-1015 https://dx.doi.org/10.1007/s40565-016-0224-5 kostenfrei 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_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 5 2016 6 09 08 1004-1015
spelling	10.1007/s40565-016-0224-5 doi (DE-627)SPR036671517 (SPR)s40565-016-0224-5-e DE-627 ger DE-627 rakwb eng ZHANG, Jian verfasserin aut Primal dual interior point dynamic programming for coordinated charging of electric vehicles 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2016 Abstract Coordinated charging of electric vehicles (EVs) is critical to provide safe and cost effective operation of distribution systems where household single phase charging of EV could contribute to imbalance of the distribution system. To date, reported researches on optimization methods for coordinated charging aiming at minimizing power losses have the disadvantages of low calculation efficiency when applied to large systems or have not taken the voltage constraints into account. The phase component and polar coordinates power flow equations of an unbalanced distribution system are derived. Primal dual interior point dynamic programming is introduced for coordinated charging of EVs to minimize distribution system losses where charging demand, voltage and current constraints have been taken into account. The proposed optimization is evaluated using an actual 423-bus case as the test system. Results are promising with the proposed method having good convergence under time-efficient calculations while providing optimization of power losses, lower load variance, and improvement of voltage profile versus uncoordinated scenarios. Electric vehicles (EVs) (dpeaa)DE-He213 Coordinated charging (dpeaa)DE-He213 Primal dual interior point programming (dpeaa)DE-He213 Distribution system (dpeaa)DE-He213 Power losses (dpeaa)DE-He213 HE, Yigang aut CUI, Mingjian aut LU, Yongling aut Enthalten in Journal of modern power systems and clean energy Nanjing : NARI, 2013 5(2016), 6 vom: 09. Aug., Seite 1004-1015 (DE-627)75682821X (DE-600)2727912-1 2196-5420 nnns volume:5 year:2016 number:6 day:09 month:08 pages:1004-1015 https://dx.doi.org/10.1007/s40565-016-0224-5 kostenfrei 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_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 5 2016 6 09 08 1004-1015
allfields_unstemmed	10.1007/s40565-016-0224-5 doi (DE-627)SPR036671517 (SPR)s40565-016-0224-5-e DE-627 ger DE-627 rakwb eng ZHANG, Jian verfasserin aut Primal dual interior point dynamic programming for coordinated charging of electric vehicles 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2016 Abstract Coordinated charging of electric vehicles (EVs) is critical to provide safe and cost effective operation of distribution systems where household single phase charging of EV could contribute to imbalance of the distribution system. To date, reported researches on optimization methods for coordinated charging aiming at minimizing power losses have the disadvantages of low calculation efficiency when applied to large systems or have not taken the voltage constraints into account. The phase component and polar coordinates power flow equations of an unbalanced distribution system are derived. Primal dual interior point dynamic programming is introduced for coordinated charging of EVs to minimize distribution system losses where charging demand, voltage and current constraints have been taken into account. The proposed optimization is evaluated using an actual 423-bus case as the test system. Results are promising with the proposed method having good convergence under time-efficient calculations while providing optimization of power losses, lower load variance, and improvement of voltage profile versus uncoordinated scenarios. Electric vehicles (EVs) (dpeaa)DE-He213 Coordinated charging (dpeaa)DE-He213 Primal dual interior point programming (dpeaa)DE-He213 Distribution system (dpeaa)DE-He213 Power losses (dpeaa)DE-He213 HE, Yigang aut CUI, Mingjian aut LU, Yongling aut Enthalten in Journal of modern power systems and clean energy Nanjing : NARI, 2013 5(2016), 6 vom: 09. Aug., Seite 1004-1015 (DE-627)75682821X (DE-600)2727912-1 2196-5420 nnns volume:5 year:2016 number:6 day:09 month:08 pages:1004-1015 https://dx.doi.org/10.1007/s40565-016-0224-5 kostenfrei 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_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 5 2016 6 09 08 1004-1015
allfieldsGer	10.1007/s40565-016-0224-5 doi (DE-627)SPR036671517 (SPR)s40565-016-0224-5-e DE-627 ger DE-627 rakwb eng ZHANG, Jian verfasserin aut Primal dual interior point dynamic programming for coordinated charging of electric vehicles 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2016 Abstract Coordinated charging of electric vehicles (EVs) is critical to provide safe and cost effective operation of distribution systems where household single phase charging of EV could contribute to imbalance of the distribution system. To date, reported researches on optimization methods for coordinated charging aiming at minimizing power losses have the disadvantages of low calculation efficiency when applied to large systems or have not taken the voltage constraints into account. The phase component and polar coordinates power flow equations of an unbalanced distribution system are derived. Primal dual interior point dynamic programming is introduced for coordinated charging of EVs to minimize distribution system losses where charging demand, voltage and current constraints have been taken into account. The proposed optimization is evaluated using an actual 423-bus case as the test system. Results are promising with the proposed method having good convergence under time-efficient calculations while providing optimization of power losses, lower load variance, and improvement of voltage profile versus uncoordinated scenarios. Electric vehicles (EVs) (dpeaa)DE-He213 Coordinated charging (dpeaa)DE-He213 Primal dual interior point programming (dpeaa)DE-He213 Distribution system (dpeaa)DE-He213 Power losses (dpeaa)DE-He213 HE, Yigang aut CUI, Mingjian aut LU, Yongling aut Enthalten in Journal of modern power systems and clean energy Nanjing : NARI, 2013 5(2016), 6 vom: 09. Aug., Seite 1004-1015 (DE-627)75682821X (DE-600)2727912-1 2196-5420 nnns volume:5 year:2016 number:6 day:09 month:08 pages:1004-1015 https://dx.doi.org/10.1007/s40565-016-0224-5 kostenfrei 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_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 5 2016 6 09 08 1004-1015
allfieldsSound	10.1007/s40565-016-0224-5 doi (DE-627)SPR036671517 (SPR)s40565-016-0224-5-e DE-627 ger DE-627 rakwb eng ZHANG, Jian verfasserin aut Primal dual interior point dynamic programming for coordinated charging of electric vehicles 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2016 Abstract Coordinated charging of electric vehicles (EVs) is critical to provide safe and cost effective operation of distribution systems where household single phase charging of EV could contribute to imbalance of the distribution system. To date, reported researches on optimization methods for coordinated charging aiming at minimizing power losses have the disadvantages of low calculation efficiency when applied to large systems or have not taken the voltage constraints into account. The phase component and polar coordinates power flow equations of an unbalanced distribution system are derived. Primal dual interior point dynamic programming is introduced for coordinated charging of EVs to minimize distribution system losses where charging demand, voltage and current constraints have been taken into account. The proposed optimization is evaluated using an actual 423-bus case as the test system. Results are promising with the proposed method having good convergence under time-efficient calculations while providing optimization of power losses, lower load variance, and improvement of voltage profile versus uncoordinated scenarios. Electric vehicles (EVs) (dpeaa)DE-He213 Coordinated charging (dpeaa)DE-He213 Primal dual interior point programming (dpeaa)DE-He213 Distribution system (dpeaa)DE-He213 Power losses (dpeaa)DE-He213 HE, Yigang aut CUI, Mingjian aut LU, Yongling aut Enthalten in Journal of modern power systems and clean energy Nanjing : NARI, 2013 5(2016), 6 vom: 09. Aug., Seite 1004-1015 (DE-627)75682821X (DE-600)2727912-1 2196-5420 nnns volume:5 year:2016 number:6 day:09 month:08 pages:1004-1015 https://dx.doi.org/10.1007/s40565-016-0224-5 kostenfrei 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_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 5 2016 6 09 08 1004-1015
language	English
source	Enthalten in Journal of modern power systems and clean energy 5(2016), 6 vom: 09. Aug., Seite 1004-1015 volume:5 year:2016 number:6 day:09 month:08 pages:1004-1015
sourceStr	Enthalten in Journal of modern power systems and clean energy 5(2016), 6 vom: 09. Aug., Seite 1004-1015 volume:5 year:2016 number:6 day:09 month:08 pages:1004-1015
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topic_facet	Electric vehicles (EVs) Coordinated charging Primal dual interior point programming Distribution system Power losses
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container_title	Journal of modern power systems and clean energy
authorswithroles_txt_mv	ZHANG, Jian @@aut@@ HE, Yigang @@aut@@ CUI, Mingjian @@aut@@ LU, Yongling @@aut@@
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author	ZHANG, Jian
spellingShingle	ZHANG, Jian misc Electric vehicles (EVs) misc Coordinated charging misc Primal dual interior point programming misc Distribution system misc Power losses Primal dual interior point dynamic programming for coordinated charging of electric vehicles
authorStr	ZHANG, Jian
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topic_title	Primal dual interior point dynamic programming for coordinated charging of electric vehicles Electric vehicles (EVs) (dpeaa)DE-He213 Coordinated charging (dpeaa)DE-He213 Primal dual interior point programming (dpeaa)DE-He213 Distribution system (dpeaa)DE-He213 Power losses (dpeaa)DE-He213
topic	misc Electric vehicles (EVs) misc Coordinated charging misc Primal dual interior point programming misc Distribution system misc Power losses
topic_unstemmed	misc Electric vehicles (EVs) misc Coordinated charging misc Primal dual interior point programming misc Distribution system misc Power losses
topic_browse	misc Electric vehicles (EVs) misc Coordinated charging misc Primal dual interior point programming misc Distribution system misc Power losses
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title	Primal dual interior point dynamic programming for coordinated charging of electric vehicles
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title_full	Primal dual interior point dynamic programming for coordinated charging of electric vehicles
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title_sort	primal dual interior point dynamic programming for coordinated charging of electric vehicles
title_auth	Primal dual interior point dynamic programming for coordinated charging of electric vehicles
abstract	Abstract Coordinated charging of electric vehicles (EVs) is critical to provide safe and cost effective operation of distribution systems where household single phase charging of EV could contribute to imbalance of the distribution system. To date, reported researches on optimization methods for coordinated charging aiming at minimizing power losses have the disadvantages of low calculation efficiency when applied to large systems or have not taken the voltage constraints into account. The phase component and polar coordinates power flow equations of an unbalanced distribution system are derived. Primal dual interior point dynamic programming is introduced for coordinated charging of EVs to minimize distribution system losses where charging demand, voltage and current constraints have been taken into account. The proposed optimization is evaluated using an actual 423-bus case as the test system. Results are promising with the proposed method having good convergence under time-efficient calculations while providing optimization of power losses, lower load variance, and improvement of voltage profile versus uncoordinated scenarios. © The Author(s) 2016
abstractGer	Abstract Coordinated charging of electric vehicles (EVs) is critical to provide safe and cost effective operation of distribution systems where household single phase charging of EV could contribute to imbalance of the distribution system. To date, reported researches on optimization methods for coordinated charging aiming at minimizing power losses have the disadvantages of low calculation efficiency when applied to large systems or have not taken the voltage constraints into account. The phase component and polar coordinates power flow equations of an unbalanced distribution system are derived. Primal dual interior point dynamic programming is introduced for coordinated charging of EVs to minimize distribution system losses where charging demand, voltage and current constraints have been taken into account. The proposed optimization is evaluated using an actual 423-bus case as the test system. Results are promising with the proposed method having good convergence under time-efficient calculations while providing optimization of power losses, lower load variance, and improvement of voltage profile versus uncoordinated scenarios. © The Author(s) 2016
abstract_unstemmed	Abstract Coordinated charging of electric vehicles (EVs) is critical to provide safe and cost effective operation of distribution systems where household single phase charging of EV could contribute to imbalance of the distribution system. To date, reported researches on optimization methods for coordinated charging aiming at minimizing power losses have the disadvantages of low calculation efficiency when applied to large systems or have not taken the voltage constraints into account. The phase component and polar coordinates power flow equations of an unbalanced distribution system are derived. Primal dual interior point dynamic programming is introduced for coordinated charging of EVs to minimize distribution system losses where charging demand, voltage and current constraints have been taken into account. The proposed optimization is evaluated using an actual 423-bus case as the test system. Results are promising with the proposed method having good convergence under time-efficient calculations while providing optimization of power losses, lower load variance, and improvement of voltage profile versus uncoordinated scenarios. © The Author(s) 2016
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title_short	Primal dual interior point dynamic programming for coordinated charging of electric vehicles
url	https://dx.doi.org/10.1007/s40565-016-0224-5
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up_date	2024-07-03T19:00:32.607Z
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Primal dual interior point dynamic programming for coordinated charging of electric vehicles

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