A Multi-Objective Optimization Approach for Corrective Switching of Transmission Systems in Emergency Scenarios

The large capacity transmission of power over long distance and the rapid development of renewable energy increase the probability of unexpected emergencies such as overload and under-voltage. To tackle these emergencies and defend future disturbances, the corrective switching is implemented as an o...
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Autor*in:	Xin Xu [verfasserIn] Yongji Cao [verfasserIn] Hengxu Zhang [verfasserIn] Shiying Ma [verfasserIn] Yunting Song [verfasserIn] Dezhi Chen [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	corrective switching load shedding multi-objective optimization overload under-voltage

Übergeordnetes Werk:	In: Energies - MDPI AG, 2008, 10(2017), 8, p 1204
Übergeordnetes Werk:	volume:10 ; year:2017 ; number:8, p 1204

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/en10081204

Katalog-ID:	DOAJ08674769X

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spelling	10.3390/en10081204 doi (DE-627)DOAJ08674769X (DE-599)DOAJ82eaff54fd50421dbeacd6549359e770 DE-627 ger DE-627 rakwb eng Xin Xu verfasserin aut A Multi-Objective Optimization Approach for Corrective Switching of Transmission Systems in Emergency Scenarios 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The large capacity transmission of power over long distance and the rapid development of renewable energy increase the probability of unexpected emergencies such as overload and under-voltage. To tackle these emergencies and defend future disturbances, the corrective switching is implemented as an online control and a multi-objective scheme-making approach is proposed. A multi-objective 0-1 integer optimization model is established to cover a set of contradictory objectives from the aspects of economics, security and reliability. A two-phase optimization approach is proposed to ensure computation efficiency and coordinate the trade-off between these objectives: in the first phase, a feasible set silting method is utilized to quickly search for a set of candidate corrective switching schemes; in the second phase, the technique for order preference by similarity to an ideal solution (TOPSIS) method is applied to the candidate set to coordinate the contradictory objectives and determine the ultimate engineering scheme. Two case studies are conducted to verify the proposed approach in overload and under-voltage scenarios. The results are discussed to show the strengths when the performance indices of economics, security and reliability are considered. corrective switching load shedding multi-objective optimization overload under-voltage Technology T Yongji Cao verfasserin aut Hengxu Zhang verfasserin aut Shiying Ma verfasserin aut Yunting Song verfasserin aut Dezhi Chen verfasserin aut In Energies MDPI AG, 2008 10(2017), 8, p 1204 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:10 year:2017 number:8, p 1204 https://doi.org/10.3390/en10081204 kostenfrei https://doaj.org/article/82eaff54fd50421dbeacd6549359e770 kostenfrei https://www.mdpi.com/1996-1073/10/8/1204 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 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 10 2017 8, p 1204
allfields_unstemmed	10.3390/en10081204 doi (DE-627)DOAJ08674769X (DE-599)DOAJ82eaff54fd50421dbeacd6549359e770 DE-627 ger DE-627 rakwb eng Xin Xu verfasserin aut A Multi-Objective Optimization Approach for Corrective Switching of Transmission Systems in Emergency Scenarios 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The large capacity transmission of power over long distance and the rapid development of renewable energy increase the probability of unexpected emergencies such as overload and under-voltage. To tackle these emergencies and defend future disturbances, the corrective switching is implemented as an online control and a multi-objective scheme-making approach is proposed. A multi-objective 0-1 integer optimization model is established to cover a set of contradictory objectives from the aspects of economics, security and reliability. A two-phase optimization approach is proposed to ensure computation efficiency and coordinate the trade-off between these objectives: in the first phase, a feasible set silting method is utilized to quickly search for a set of candidate corrective switching schemes; in the second phase, the technique for order preference by similarity to an ideal solution (TOPSIS) method is applied to the candidate set to coordinate the contradictory objectives and determine the ultimate engineering scheme. Two case studies are conducted to verify the proposed approach in overload and under-voltage scenarios. The results are discussed to show the strengths when the performance indices of economics, security and reliability are considered. corrective switching load shedding multi-objective optimization overload under-voltage Technology T Yongji Cao verfasserin aut Hengxu Zhang verfasserin aut Shiying Ma verfasserin aut Yunting Song verfasserin aut Dezhi Chen verfasserin aut In Energies MDPI AG, 2008 10(2017), 8, p 1204 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:10 year:2017 number:8, p 1204 https://doi.org/10.3390/en10081204 kostenfrei https://doaj.org/article/82eaff54fd50421dbeacd6549359e770 kostenfrei https://www.mdpi.com/1996-1073/10/8/1204 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 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 10 2017 8, p 1204
allfieldsGer	10.3390/en10081204 doi (DE-627)DOAJ08674769X (DE-599)DOAJ82eaff54fd50421dbeacd6549359e770 DE-627 ger DE-627 rakwb eng Xin Xu verfasserin aut A Multi-Objective Optimization Approach for Corrective Switching of Transmission Systems in Emergency Scenarios 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The large capacity transmission of power over long distance and the rapid development of renewable energy increase the probability of unexpected emergencies such as overload and under-voltage. To tackle these emergencies and defend future disturbances, the corrective switching is implemented as an online control and a multi-objective scheme-making approach is proposed. A multi-objective 0-1 integer optimization model is established to cover a set of contradictory objectives from the aspects of economics, security and reliability. A two-phase optimization approach is proposed to ensure computation efficiency and coordinate the trade-off between these objectives: in the first phase, a feasible set silting method is utilized to quickly search for a set of candidate corrective switching schemes; in the second phase, the technique for order preference by similarity to an ideal solution (TOPSIS) method is applied to the candidate set to coordinate the contradictory objectives and determine the ultimate engineering scheme. Two case studies are conducted to verify the proposed approach in overload and under-voltage scenarios. The results are discussed to show the strengths when the performance indices of economics, security and reliability are considered. corrective switching load shedding multi-objective optimization overload under-voltage Technology T Yongji Cao verfasserin aut Hengxu Zhang verfasserin aut Shiying Ma verfasserin aut Yunting Song verfasserin aut Dezhi Chen verfasserin aut In Energies MDPI AG, 2008 10(2017), 8, p 1204 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:10 year:2017 number:8, p 1204 https://doi.org/10.3390/en10081204 kostenfrei https://doaj.org/article/82eaff54fd50421dbeacd6549359e770 kostenfrei https://www.mdpi.com/1996-1073/10/8/1204 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 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 10 2017 8, p 1204
allfieldsSound	10.3390/en10081204 doi (DE-627)DOAJ08674769X (DE-599)DOAJ82eaff54fd50421dbeacd6549359e770 DE-627 ger DE-627 rakwb eng Xin Xu verfasserin aut A Multi-Objective Optimization Approach for Corrective Switching of Transmission Systems in Emergency Scenarios 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The large capacity transmission of power over long distance and the rapid development of renewable energy increase the probability of unexpected emergencies such as overload and under-voltage. To tackle these emergencies and defend future disturbances, the corrective switching is implemented as an online control and a multi-objective scheme-making approach is proposed. A multi-objective 0-1 integer optimization model is established to cover a set of contradictory objectives from the aspects of economics, security and reliability. A two-phase optimization approach is proposed to ensure computation efficiency and coordinate the trade-off between these objectives: in the first phase, a feasible set silting method is utilized to quickly search for a set of candidate corrective switching schemes; in the second phase, the technique for order preference by similarity to an ideal solution (TOPSIS) method is applied to the candidate set to coordinate the contradictory objectives and determine the ultimate engineering scheme. Two case studies are conducted to verify the proposed approach in overload and under-voltage scenarios. The results are discussed to show the strengths when the performance indices of economics, security and reliability are considered. corrective switching load shedding multi-objective optimization overload under-voltage Technology T Yongji Cao verfasserin aut Hengxu Zhang verfasserin aut Shiying Ma verfasserin aut Yunting Song verfasserin aut Dezhi Chen verfasserin aut In Energies MDPI AG, 2008 10(2017), 8, p 1204 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:10 year:2017 number:8, p 1204 https://doi.org/10.3390/en10081204 kostenfrei https://doaj.org/article/82eaff54fd50421dbeacd6549359e770 kostenfrei https://www.mdpi.com/1996-1073/10/8/1204 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 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 10 2017 8, p 1204
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authorswithroles_txt_mv	Xin Xu @@aut@@ Yongji Cao @@aut@@ Hengxu Zhang @@aut@@ Shiying Ma @@aut@@ Yunting Song @@aut@@ Dezhi Chen @@aut@@
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author	Xin Xu
spellingShingle	Xin Xu misc corrective switching misc load shedding misc multi-objective optimization misc overload misc under-voltage misc Technology misc T A Multi-Objective Optimization Approach for Corrective Switching of Transmission Systems in Emergency Scenarios
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topic_title	A Multi-Objective Optimization Approach for Corrective Switching of Transmission Systems in Emergency Scenarios corrective switching load shedding multi-objective optimization overload under-voltage
topic	misc corrective switching misc load shedding misc multi-objective optimization misc overload misc under-voltage misc Technology misc T
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title	A Multi-Objective Optimization Approach for Corrective Switching of Transmission Systems in Emergency Scenarios
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title_sort	multi-objective optimization approach for corrective switching of transmission systems in emergency scenarios
title_auth	A Multi-Objective Optimization Approach for Corrective Switching of Transmission Systems in Emergency Scenarios
abstract	The large capacity transmission of power over long distance and the rapid development of renewable energy increase the probability of unexpected emergencies such as overload and under-voltage. To tackle these emergencies and defend future disturbances, the corrective switching is implemented as an online control and a multi-objective scheme-making approach is proposed. A multi-objective 0-1 integer optimization model is established to cover a set of contradictory objectives from the aspects of economics, security and reliability. A two-phase optimization approach is proposed to ensure computation efficiency and coordinate the trade-off between these objectives: in the first phase, a feasible set silting method is utilized to quickly search for a set of candidate corrective switching schemes; in the second phase, the technique for order preference by similarity to an ideal solution (TOPSIS) method is applied to the candidate set to coordinate the contradictory objectives and determine the ultimate engineering scheme. Two case studies are conducted to verify the proposed approach in overload and under-voltage scenarios. The results are discussed to show the strengths when the performance indices of economics, security and reliability are considered.
abstractGer	The large capacity transmission of power over long distance and the rapid development of renewable energy increase the probability of unexpected emergencies such as overload and under-voltage. To tackle these emergencies and defend future disturbances, the corrective switching is implemented as an online control and a multi-objective scheme-making approach is proposed. A multi-objective 0-1 integer optimization model is established to cover a set of contradictory objectives from the aspects of economics, security and reliability. A two-phase optimization approach is proposed to ensure computation efficiency and coordinate the trade-off between these objectives: in the first phase, a feasible set silting method is utilized to quickly search for a set of candidate corrective switching schemes; in the second phase, the technique for order preference by similarity to an ideal solution (TOPSIS) method is applied to the candidate set to coordinate the contradictory objectives and determine the ultimate engineering scheme. Two case studies are conducted to verify the proposed approach in overload and under-voltage scenarios. The results are discussed to show the strengths when the performance indices of economics, security and reliability are considered.
abstract_unstemmed	The large capacity transmission of power over long distance and the rapid development of renewable energy increase the probability of unexpected emergencies such as overload and under-voltage. To tackle these emergencies and defend future disturbances, the corrective switching is implemented as an online control and a multi-objective scheme-making approach is proposed. A multi-objective 0-1 integer optimization model is established to cover a set of contradictory objectives from the aspects of economics, security and reliability. A two-phase optimization approach is proposed to ensure computation efficiency and coordinate the trade-off between these objectives: in the first phase, a feasible set silting method is utilized to quickly search for a set of candidate corrective switching schemes; in the second phase, the technique for order preference by similarity to an ideal solution (TOPSIS) method is applied to the candidate set to coordinate the contradictory objectives and determine the ultimate engineering scheme. Two case studies are conducted to verify the proposed approach in overload and under-voltage scenarios. The results are discussed to show the strengths when the performance indices of economics, security and reliability are considered.
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title_short	A Multi-Objective Optimization Approach for Corrective Switching of Transmission Systems in Emergency Scenarios
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