Impact analysis of traction loads on power grid based on probabilistic three-phases load flow

Electrified railway traction power supply system is directly powered by 110 kV or 220 kV (some 330 kV) high-voltage power grid. The uncertainty, non-linearity, and asymmetry of traction loads like the electric locomotives and electric multiple units (EMUs) exert the negative sequence and harmonics i...
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Autor*in:	Yulong Che [verfasserIn] Xiaoru Wang [verfasserIn] Xiaoqin Lv [verfasserIn] Yi Hu [verfasserIn] Longyuan Li [verfasserIn] Haoyue Chen [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	load flow railways traction power supplies traction power grids probability railway electrification substations electric locomotives Monte Carlo methods transmission networks voltage 330.0 kV voltage 220.0 kV voltage 110.0 kV asymmetric traction loads three-phase power flow model calculation high-voltage transmission grid kV high-voltage power grid electrified railway traction power supply system three-phases load flow

Übergeordnetes Werk:	In: The Journal of Engineering - Wiley, 2013, (2019)
Übergeordnetes Werk:	year:2019

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1049/joe.2018.8532

Katalog-ID:	DOAJ019043880

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520			\|a Electrified railway traction power supply system is directly powered by 110 kV or 220 kV (some 330 kV) high-voltage power grid. The uncertainty, non-linearity, and asymmetry of traction loads like the electric locomotives and electric multiple units (EMUs) exert the negative sequence and harmonics impact on the high-voltage transmission network. In order to evaluate the impact of the uncertainty and asymmetry of traction loads on the high-voltage transmission grid, a probabilistic three-phase power flow model of transmission network considering the probability model of traction loads is proposed. First, the power probability model of traction loads is established according to the running characteristics of traction loads. Second, the Monte Carlo simulation method is applied for the probabilistic three-phase power flow model calculation considering the traction loads. Finally, the simulation calculation is carried out on the balanced IEEE-14 bus three-phase test system. The results show that the asymmetric traction loads cause the unbalance of the grid nearby to deteriorate. The further away from the traction substation, the smaller impact of the traction loads.
650		4	\|a load flow
650		4	\|a railways
650		4	\|a traction power supplies
650		4	\|a traction
650		4	\|a power grids
650		4	\|a probability
650		4	\|a railway electrification
650		4	\|a substations
650		4	\|a electric locomotives
650		4	\|a Monte Carlo methods
650		4	\|a transmission networks
650		4	\|a voltage 330.0 kV
650		4	\|a voltage 220.0 kV
650		4	\|a voltage 110.0 kV
650		4	\|a asymmetric traction loads
650		4	\|a three-phase power flow model calculation
650		4	\|a high-voltage transmission grid
650		4	\|a kV high-voltage power grid
650		4	\|a electrified railway traction power supply system
650		4	\|a three-phases load flow
653		0	\|a Engineering (General). Civil engineering (General)
700	0		\|a Xiaoru Wang \|e verfasserin \|4 aut
700	0		\|a Xiaoqin Lv \|e verfasserin \|4 aut
700	0		\|a Yi Hu \|e verfasserin \|4 aut
700	0		\|a Longyuan Li \|e verfasserin \|4 aut
700	0		\|a Haoyue Chen \|e verfasserin \|4 aut
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allfields	10.1049/joe.2018.8532 doi (DE-627)DOAJ019043880 (DE-599)DOAJ574bcbcf71284934a41012eee007354f DE-627 ger DE-627 rakwb eng TA1-2040 Yulong Che verfasserin aut Impact analysis of traction loads on power grid based on probabilistic three-phases load flow 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Electrified railway traction power supply system is directly powered by 110 kV or 220 kV (some 330 kV) high-voltage power grid. The uncertainty, non-linearity, and asymmetry of traction loads like the electric locomotives and electric multiple units (EMUs) exert the negative sequence and harmonics impact on the high-voltage transmission network. In order to evaluate the impact of the uncertainty and asymmetry of traction loads on the high-voltage transmission grid, a probabilistic three-phase power flow model of transmission network considering the probability model of traction loads is proposed. First, the power probability model of traction loads is established according to the running characteristics of traction loads. Second, the Monte Carlo simulation method is applied for the probabilistic three-phase power flow model calculation considering the traction loads. Finally, the simulation calculation is carried out on the balanced IEEE-14 bus three-phase test system. The results show that the asymmetric traction loads cause the unbalance of the grid nearby to deteriorate. The further away from the traction substation, the smaller impact of the traction loads. load flow railways traction power supplies traction power grids probability railway electrification substations electric locomotives Monte Carlo methods transmission networks voltage 330.0 kV voltage 220.0 kV voltage 110.0 kV asymmetric traction loads three-phase power flow model calculation high-voltage transmission grid kV high-voltage power grid electrified railway traction power supply system three-phases load flow Engineering (General). Civil engineering (General) Xiaoru Wang verfasserin aut Xiaoqin Lv verfasserin aut Yi Hu verfasserin aut Longyuan Li verfasserin aut Haoyue Chen verfasserin aut In The Journal of Engineering Wiley, 2013 (2019) (DE-627)75682270X (DE-600)2727074-9 20513305 nnns year:2019 https://doi.org/10.1049/joe.2018.8532 kostenfrei https://doaj.org/article/574bcbcf71284934a41012eee007354f kostenfrei https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8532 kostenfrei https://doaj.org/toc/2051-3305 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 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_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2019
spelling	10.1049/joe.2018.8532 doi (DE-627)DOAJ019043880 (DE-599)DOAJ574bcbcf71284934a41012eee007354f DE-627 ger DE-627 rakwb eng TA1-2040 Yulong Che verfasserin aut Impact analysis of traction loads on power grid based on probabilistic three-phases load flow 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Electrified railway traction power supply system is directly powered by 110 kV or 220 kV (some 330 kV) high-voltage power grid. The uncertainty, non-linearity, and asymmetry of traction loads like the electric locomotives and electric multiple units (EMUs) exert the negative sequence and harmonics impact on the high-voltage transmission network. In order to evaluate the impact of the uncertainty and asymmetry of traction loads on the high-voltage transmission grid, a probabilistic three-phase power flow model of transmission network considering the probability model of traction loads is proposed. First, the power probability model of traction loads is established according to the running characteristics of traction loads. Second, the Monte Carlo simulation method is applied for the probabilistic three-phase power flow model calculation considering the traction loads. Finally, the simulation calculation is carried out on the balanced IEEE-14 bus three-phase test system. The results show that the asymmetric traction loads cause the unbalance of the grid nearby to deteriorate. The further away from the traction substation, the smaller impact of the traction loads. load flow railways traction power supplies traction power grids probability railway electrification substations electric locomotives Monte Carlo methods transmission networks voltage 330.0 kV voltage 220.0 kV voltage 110.0 kV asymmetric traction loads three-phase power flow model calculation high-voltage transmission grid kV high-voltage power grid electrified railway traction power supply system three-phases load flow Engineering (General). Civil engineering (General) Xiaoru Wang verfasserin aut Xiaoqin Lv verfasserin aut Yi Hu verfasserin aut Longyuan Li verfasserin aut Haoyue Chen verfasserin aut In The Journal of Engineering Wiley, 2013 (2019) (DE-627)75682270X (DE-600)2727074-9 20513305 nnns year:2019 https://doi.org/10.1049/joe.2018.8532 kostenfrei https://doaj.org/article/574bcbcf71284934a41012eee007354f kostenfrei https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8532 kostenfrei https://doaj.org/toc/2051-3305 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 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_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2019
allfields_unstemmed	10.1049/joe.2018.8532 doi (DE-627)DOAJ019043880 (DE-599)DOAJ574bcbcf71284934a41012eee007354f DE-627 ger DE-627 rakwb eng TA1-2040 Yulong Che verfasserin aut Impact analysis of traction loads on power grid based on probabilistic three-phases load flow 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Electrified railway traction power supply system is directly powered by 110 kV or 220 kV (some 330 kV) high-voltage power grid. The uncertainty, non-linearity, and asymmetry of traction loads like the electric locomotives and electric multiple units (EMUs) exert the negative sequence and harmonics impact on the high-voltage transmission network. In order to evaluate the impact of the uncertainty and asymmetry of traction loads on the high-voltage transmission grid, a probabilistic three-phase power flow model of transmission network considering the probability model of traction loads is proposed. First, the power probability model of traction loads is established according to the running characteristics of traction loads. Second, the Monte Carlo simulation method is applied for the probabilistic three-phase power flow model calculation considering the traction loads. Finally, the simulation calculation is carried out on the balanced IEEE-14 bus three-phase test system. The results show that the asymmetric traction loads cause the unbalance of the grid nearby to deteriorate. The further away from the traction substation, the smaller impact of the traction loads. load flow railways traction power supplies traction power grids probability railway electrification substations electric locomotives Monte Carlo methods transmission networks voltage 330.0 kV voltage 220.0 kV voltage 110.0 kV asymmetric traction loads three-phase power flow model calculation high-voltage transmission grid kV high-voltage power grid electrified railway traction power supply system three-phases load flow Engineering (General). Civil engineering (General) Xiaoru Wang verfasserin aut Xiaoqin Lv verfasserin aut Yi Hu verfasserin aut Longyuan Li verfasserin aut Haoyue Chen verfasserin aut In The Journal of Engineering Wiley, 2013 (2019) (DE-627)75682270X (DE-600)2727074-9 20513305 nnns year:2019 https://doi.org/10.1049/joe.2018.8532 kostenfrei https://doaj.org/article/574bcbcf71284934a41012eee007354f kostenfrei https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8532 kostenfrei https://doaj.org/toc/2051-3305 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 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_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2019
allfieldsGer	10.1049/joe.2018.8532 doi (DE-627)DOAJ019043880 (DE-599)DOAJ574bcbcf71284934a41012eee007354f DE-627 ger DE-627 rakwb eng TA1-2040 Yulong Che verfasserin aut Impact analysis of traction loads on power grid based on probabilistic three-phases load flow 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Electrified railway traction power supply system is directly powered by 110 kV or 220 kV (some 330 kV) high-voltage power grid. The uncertainty, non-linearity, and asymmetry of traction loads like the electric locomotives and electric multiple units (EMUs) exert the negative sequence and harmonics impact on the high-voltage transmission network. In order to evaluate the impact of the uncertainty and asymmetry of traction loads on the high-voltage transmission grid, a probabilistic three-phase power flow model of transmission network considering the probability model of traction loads is proposed. First, the power probability model of traction loads is established according to the running characteristics of traction loads. Second, the Monte Carlo simulation method is applied for the probabilistic three-phase power flow model calculation considering the traction loads. Finally, the simulation calculation is carried out on the balanced IEEE-14 bus three-phase test system. The results show that the asymmetric traction loads cause the unbalance of the grid nearby to deteriorate. The further away from the traction substation, the smaller impact of the traction loads. load flow railways traction power supplies traction power grids probability railway electrification substations electric locomotives Monte Carlo methods transmission networks voltage 330.0 kV voltage 220.0 kV voltage 110.0 kV asymmetric traction loads three-phase power flow model calculation high-voltage transmission grid kV high-voltage power grid electrified railway traction power supply system three-phases load flow Engineering (General). Civil engineering (General) Xiaoru Wang verfasserin aut Xiaoqin Lv verfasserin aut Yi Hu verfasserin aut Longyuan Li verfasserin aut Haoyue Chen verfasserin aut In The Journal of Engineering Wiley, 2013 (2019) (DE-627)75682270X (DE-600)2727074-9 20513305 nnns year:2019 https://doi.org/10.1049/joe.2018.8532 kostenfrei https://doaj.org/article/574bcbcf71284934a41012eee007354f kostenfrei https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8532 kostenfrei https://doaj.org/toc/2051-3305 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 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_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2019
allfieldsSound	10.1049/joe.2018.8532 doi (DE-627)DOAJ019043880 (DE-599)DOAJ574bcbcf71284934a41012eee007354f DE-627 ger DE-627 rakwb eng TA1-2040 Yulong Che verfasserin aut Impact analysis of traction loads on power grid based on probabilistic three-phases load flow 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Electrified railway traction power supply system is directly powered by 110 kV or 220 kV (some 330 kV) high-voltage power grid. The uncertainty, non-linearity, and asymmetry of traction loads like the electric locomotives and electric multiple units (EMUs) exert the negative sequence and harmonics impact on the high-voltage transmission network. In order to evaluate the impact of the uncertainty and asymmetry of traction loads on the high-voltage transmission grid, a probabilistic three-phase power flow model of transmission network considering the probability model of traction loads is proposed. First, the power probability model of traction loads is established according to the running characteristics of traction loads. Second, the Monte Carlo simulation method is applied for the probabilistic three-phase power flow model calculation considering the traction loads. Finally, the simulation calculation is carried out on the balanced IEEE-14 bus three-phase test system. The results show that the asymmetric traction loads cause the unbalance of the grid nearby to deteriorate. The further away from the traction substation, the smaller impact of the traction loads. load flow railways traction power supplies traction power grids probability railway electrification substations electric locomotives Monte Carlo methods transmission networks voltage 330.0 kV voltage 220.0 kV voltage 110.0 kV asymmetric traction loads three-phase power flow model calculation high-voltage transmission grid kV high-voltage power grid electrified railway traction power supply system three-phases load flow Engineering (General). Civil engineering (General) Xiaoru Wang verfasserin aut Xiaoqin Lv verfasserin aut Yi Hu verfasserin aut Longyuan Li verfasserin aut Haoyue Chen verfasserin aut In The Journal of Engineering Wiley, 2013 (2019) (DE-627)75682270X (DE-600)2727074-9 20513305 nnns year:2019 https://doi.org/10.1049/joe.2018.8532 kostenfrei https://doaj.org/article/574bcbcf71284934a41012eee007354f kostenfrei https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8532 kostenfrei https://doaj.org/toc/2051-3305 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 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_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2019
language	English
source	In The Journal of Engineering (2019) year:2019
sourceStr	In The Journal of Engineering (2019) year:2019
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	load flow railways traction power supplies traction power grids probability railway electrification substations electric locomotives Monte Carlo methods transmission networks voltage 330.0 kV voltage 220.0 kV voltage 110.0 kV asymmetric traction loads three-phase power flow model calculation high-voltage transmission grid kV high-voltage power grid electrified railway traction power supply system three-phases load flow Engineering (General). Civil engineering (General)
isfreeaccess_bool	true
container_title	The Journal of Engineering
authorswithroles_txt_mv	Yulong Che @@aut@@ Xiaoru Wang @@aut@@ Xiaoqin Lv @@aut@@ Yi Hu @@aut@@ Longyuan Li @@aut@@ Haoyue Chen @@aut@@
publishDateDaySort_date	2019-01-01T00:00:00Z
hierarchy_top_id	75682270X
id	DOAJ019043880
language_de	englisch
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callnumber-first	T - Technology
author	Yulong Che
spellingShingle	Yulong Che misc TA1-2040 misc load flow misc railways misc traction power supplies misc traction misc power grids misc probability misc railway electrification misc substations misc electric locomotives misc Monte Carlo methods misc transmission networks misc voltage 330.0 kV misc voltage 220.0 kV misc voltage 110.0 kV misc asymmetric traction loads misc three-phase power flow model calculation misc high-voltage transmission grid misc kV high-voltage power grid misc electrified railway traction power supply system misc three-phases load flow misc Engineering (General). Civil engineering (General) Impact analysis of traction loads on power grid based on probabilistic three-phases load flow
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topic_title	TA1-2040 Impact analysis of traction loads on power grid based on probabilistic three-phases load flow load flow railways traction power supplies traction power grids probability railway electrification substations electric locomotives Monte Carlo methods transmission networks voltage 330.0 kV voltage 220.0 kV voltage 110.0 kV asymmetric traction loads three-phase power flow model calculation high-voltage transmission grid kV high-voltage power grid electrified railway traction power supply system three-phases load flow
topic	misc TA1-2040 misc load flow misc railways misc traction power supplies misc traction misc power grids misc probability misc railway electrification misc substations misc electric locomotives misc Monte Carlo methods misc transmission networks misc voltage 330.0 kV misc voltage 220.0 kV misc voltage 110.0 kV misc asymmetric traction loads misc three-phase power flow model calculation misc high-voltage transmission grid misc kV high-voltage power grid misc electrified railway traction power supply system misc three-phases load flow misc Engineering (General). Civil engineering (General)
topic_unstemmed	misc TA1-2040 misc load flow misc railways misc traction power supplies misc traction misc power grids misc probability misc railway electrification misc substations misc electric locomotives misc Monte Carlo methods misc transmission networks misc voltage 330.0 kV misc voltage 220.0 kV misc voltage 110.0 kV misc asymmetric traction loads misc three-phase power flow model calculation misc high-voltage transmission grid misc kV high-voltage power grid misc electrified railway traction power supply system misc three-phases load flow misc Engineering (General). Civil engineering (General)
topic_browse	misc TA1-2040 misc load flow misc railways misc traction power supplies misc traction misc power grids misc probability misc railway electrification misc substations misc electric locomotives misc Monte Carlo methods misc transmission networks misc voltage 330.0 kV misc voltage 220.0 kV misc voltage 110.0 kV misc asymmetric traction loads misc three-phase power flow model calculation misc high-voltage transmission grid misc kV high-voltage power grid misc electrified railway traction power supply system misc three-phases load flow misc Engineering (General). Civil engineering (General)
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title	Impact analysis of traction loads on power grid based on probabilistic three-phases load flow
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title_full	Impact analysis of traction loads on power grid based on probabilistic three-phases load flow
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journal	The Journal of Engineering
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author_browse	Yulong Che Xiaoru Wang Xiaoqin Lv Yi Hu Longyuan Li Haoyue Chen
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author-letter	Yulong Che
doi_str_mv	10.1049/joe.2018.8532
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title_sort	impact analysis of traction loads on power grid based on probabilistic three-phases load flow
callnumber	TA1-2040
title_auth	Impact analysis of traction loads on power grid based on probabilistic three-phases load flow
abstract	Electrified railway traction power supply system is directly powered by 110 kV or 220 kV (some 330 kV) high-voltage power grid. The uncertainty, non-linearity, and asymmetry of traction loads like the electric locomotives and electric multiple units (EMUs) exert the negative sequence and harmonics impact on the high-voltage transmission network. In order to evaluate the impact of the uncertainty and asymmetry of traction loads on the high-voltage transmission grid, a probabilistic three-phase power flow model of transmission network considering the probability model of traction loads is proposed. First, the power probability model of traction loads is established according to the running characteristics of traction loads. Second, the Monte Carlo simulation method is applied for the probabilistic three-phase power flow model calculation considering the traction loads. Finally, the simulation calculation is carried out on the balanced IEEE-14 bus three-phase test system. The results show that the asymmetric traction loads cause the unbalance of the grid nearby to deteriorate. The further away from the traction substation, the smaller impact of the traction loads.
abstractGer	Electrified railway traction power supply system is directly powered by 110 kV or 220 kV (some 330 kV) high-voltage power grid. The uncertainty, non-linearity, and asymmetry of traction loads like the electric locomotives and electric multiple units (EMUs) exert the negative sequence and harmonics impact on the high-voltage transmission network. In order to evaluate the impact of the uncertainty and asymmetry of traction loads on the high-voltage transmission grid, a probabilistic three-phase power flow model of transmission network considering the probability model of traction loads is proposed. First, the power probability model of traction loads is established according to the running characteristics of traction loads. Second, the Monte Carlo simulation method is applied for the probabilistic three-phase power flow model calculation considering the traction loads. Finally, the simulation calculation is carried out on the balanced IEEE-14 bus three-phase test system. The results show that the asymmetric traction loads cause the unbalance of the grid nearby to deteriorate. The further away from the traction substation, the smaller impact of the traction loads.
abstract_unstemmed	Electrified railway traction power supply system is directly powered by 110 kV or 220 kV (some 330 kV) high-voltage power grid. The uncertainty, non-linearity, and asymmetry of traction loads like the electric locomotives and electric multiple units (EMUs) exert the negative sequence and harmonics impact on the high-voltage transmission network. In order to evaluate the impact of the uncertainty and asymmetry of traction loads on the high-voltage transmission grid, a probabilistic three-phase power flow model of transmission network considering the probability model of traction loads is proposed. First, the power probability model of traction loads is established according to the running characteristics of traction loads. Second, the Monte Carlo simulation method is applied for the probabilistic three-phase power flow model calculation considering the traction loads. Finally, the simulation calculation is carried out on the balanced IEEE-14 bus three-phase test system. The results show that the asymmetric traction loads cause the unbalance of the grid nearby to deteriorate. The further away from the traction substation, the smaller impact of the traction loads.
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title_short	Impact analysis of traction loads on power grid based on probabilistic three-phases load flow
url	https://doi.org/10.1049/joe.2018.8532 https://doaj.org/article/574bcbcf71284934a41012eee007354f https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8532 https://doaj.org/toc/2051-3305
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up_date	2024-07-03T21:28:44.218Z
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The uncertainty, non-linearity, and asymmetry of traction loads like the electric locomotives and electric multiple units (EMUs) exert the negative sequence and harmonics impact on the high-voltage transmission network. In order to evaluate the impact of the uncertainty and asymmetry of traction loads on the high-voltage transmission grid, a probabilistic three-phase power flow model of transmission network considering the probability model of traction loads is proposed. First, the power probability model of traction loads is established according to the running characteristics of traction loads. Second, the Monte Carlo simulation method is applied for the probabilistic three-phase power flow model calculation considering the traction loads. Finally, the simulation calculation is carried out on the balanced IEEE-14 bus three-phase test system. The results show that the asymmetric traction loads cause the unbalance of the grid nearby to deteriorate. 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Civil engineering (General)</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xiaoru Wang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xiaoqin Lv</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yi Hu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Longyuan Li</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Haoyue Chen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">The Journal of 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Impact analysis of traction loads on power grid based on probabilistic three-phases load flow

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