Power system stabiliser PSS4B-W parameters optimisation and RTDS test verification

This study introduces the mathematical model of a new type of power system stabiliser PSS4B-W. The concept of crossbreed in genetic algorithm is introduced to particle swarm optimisation algorithm and applied to PSS4B-W parameter optimisation. With a PCS-9410 excitation regulator, the semi-physical...
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Autor*in:	Siyuan Guo [verfasserIn] Shoushou Zhang [verfasserIn] Weijun Zhu [verfasserIn] Li Li [verfasserIn] Hui Li [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	power system stability dynamic response particle swarm optimisation genetic algorithms time-domain analysis optimisation inverse-regulation suppression effect time-domain dynamic response inequality constraint excitation system phase frequency characteristic genetic algorithm mathematical model power system stabiliser PSS4B-W parameter optimisation particle swarm optimisation algorithm parameters optimisation process RTDS platform semiphysical simulation system PCS-9410 excitation regulator RTDS test verification

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.2018.8503

Katalog-ID:	DOAJ057989583

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520			\|a This study introduces the mathematical model of a new type of power system stabiliser PSS4B-W. The concept of crossbreed in genetic algorithm is introduced to particle swarm optimisation algorithm and applied to PSS4B-W parameter optimisation. With a PCS-9410 excitation regulator, the semi-physical simulation system is constituted on a real time digital simulator (RTDS) platform. By measuring the excitation system phase frequency characteristic without compensation, the PSS4B-W parameter optimisation is converted to a set of parameters optimisation process with inequality constraint. In the RTDS platform, the time-domain dynamic response of without PSS, adding PSS2B and PSS4B-W, is compared and analysed. Simulation results show that the optimised PSS4B-W can provide effective damping in different frequency bands, and have good inverse-regulation suppression effect.
650		4	\|a power system stability
650		4	\|a dynamic response
650		4	\|a particle swarm optimisation
650		4	\|a genetic algorithms
650		4	\|a time-domain analysis
650		4	\|a optimisation
650		4	\|a inverse-regulation suppression effect
650		4	\|a time-domain dynamic response
650		4	\|a inequality constraint
650		4	\|a excitation system phase frequency characteristic
650		4	\|a genetic algorithm
650		4	\|a mathematical model
650		4	\|a power system stabiliser PSS4B-W parameter optimisation
650		4	\|a particle swarm optimisation algorithm
650		4	\|a parameters optimisation process
650		4	\|a RTDS platform
650		4	\|a semiphysical simulation system
650		4	\|a PCS-9410 excitation regulator
650		4	\|a RTDS test verification
653		0	\|a Engineering (General). Civil engineering (General)
700	0		\|a Shoushou Zhang \|e verfasserin \|4 aut
700	0		\|a Weijun Zhu \|e verfasserin \|4 aut
700	0		\|a Li Li \|e verfasserin \|4 aut
700	0		\|a Hui Li \|e verfasserin \|4 aut
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912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_636
912			\|a GBV_ILN_2004
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912			\|a GBV_ILN_2027
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912			\|a GBV_ILN_4037
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912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4251
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912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
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publishDate	2019
allfields	10.1049/joe.2018.8503 doi (DE-627)DOAJ057989583 (DE-599)DOAJ46cb162a5a544e479aa67ca879a04b9f DE-627 ger DE-627 rakwb eng TA1-2040 Siyuan Guo verfasserin aut Power system stabiliser PSS4B-W parameters optimisation and RTDS test verification 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study introduces the mathematical model of a new type of power system stabiliser PSS4B-W. The concept of crossbreed in genetic algorithm is introduced to particle swarm optimisation algorithm and applied to PSS4B-W parameter optimisation. With a PCS-9410 excitation regulator, the semi-physical simulation system is constituted on a real time digital simulator (RTDS) platform. By measuring the excitation system phase frequency characteristic without compensation, the PSS4B-W parameter optimisation is converted to a set of parameters optimisation process with inequality constraint. In the RTDS platform, the time-domain dynamic response of without PSS, adding PSS2B and PSS4B-W, is compared and analysed. Simulation results show that the optimised PSS4B-W can provide effective damping in different frequency bands, and have good inverse-regulation suppression effect. power system stability dynamic response particle swarm optimisation genetic algorithms time-domain analysis optimisation inverse-regulation suppression effect time-domain dynamic response inequality constraint excitation system phase frequency characteristic genetic algorithm mathematical model power system stabiliser PSS4B-W parameter optimisation particle swarm optimisation algorithm parameters optimisation process RTDS platform semiphysical simulation system PCS-9410 excitation regulator RTDS test verification Engineering (General). Civil engineering (General) Shoushou Zhang verfasserin aut Weijun Zhu verfasserin aut Li Li verfasserin aut Hui Li 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.2018.8503 kostenfrei https://doaj.org/article/46cb162a5a544e479aa67ca879a04b9f kostenfrei https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8503 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.2018.8503 doi (DE-627)DOAJ057989583 (DE-599)DOAJ46cb162a5a544e479aa67ca879a04b9f DE-627 ger DE-627 rakwb eng TA1-2040 Siyuan Guo verfasserin aut Power system stabiliser PSS4B-W parameters optimisation and RTDS test verification 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study introduces the mathematical model of a new type of power system stabiliser PSS4B-W. The concept of crossbreed in genetic algorithm is introduced to particle swarm optimisation algorithm and applied to PSS4B-W parameter optimisation. With a PCS-9410 excitation regulator, the semi-physical simulation system is constituted on a real time digital simulator (RTDS) platform. By measuring the excitation system phase frequency characteristic without compensation, the PSS4B-W parameter optimisation is converted to a set of parameters optimisation process with inequality constraint. In the RTDS platform, the time-domain dynamic response of without PSS, adding PSS2B and PSS4B-W, is compared and analysed. Simulation results show that the optimised PSS4B-W can provide effective damping in different frequency bands, and have good inverse-regulation suppression effect. power system stability dynamic response particle swarm optimisation genetic algorithms time-domain analysis optimisation inverse-regulation suppression effect time-domain dynamic response inequality constraint excitation system phase frequency characteristic genetic algorithm mathematical model power system stabiliser PSS4B-W parameter optimisation particle swarm optimisation algorithm parameters optimisation process RTDS platform semiphysical simulation system PCS-9410 excitation regulator RTDS test verification Engineering (General). Civil engineering (General) Shoushou Zhang verfasserin aut Weijun Zhu verfasserin aut Li Li verfasserin aut Hui Li 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.2018.8503 kostenfrei https://doaj.org/article/46cb162a5a544e479aa67ca879a04b9f kostenfrei https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8503 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.2018.8503 doi (DE-627)DOAJ057989583 (DE-599)DOAJ46cb162a5a544e479aa67ca879a04b9f DE-627 ger DE-627 rakwb eng TA1-2040 Siyuan Guo verfasserin aut Power system stabiliser PSS4B-W parameters optimisation and RTDS test verification 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study introduces the mathematical model of a new type of power system stabiliser PSS4B-W. The concept of crossbreed in genetic algorithm is introduced to particle swarm optimisation algorithm and applied to PSS4B-W parameter optimisation. With a PCS-9410 excitation regulator, the semi-physical simulation system is constituted on a real time digital simulator (RTDS) platform. By measuring the excitation system phase frequency characteristic without compensation, the PSS4B-W parameter optimisation is converted to a set of parameters optimisation process with inequality constraint. In the RTDS platform, the time-domain dynamic response of without PSS, adding PSS2B and PSS4B-W, is compared and analysed. Simulation results show that the optimised PSS4B-W can provide effective damping in different frequency bands, and have good inverse-regulation suppression effect. power system stability dynamic response particle swarm optimisation genetic algorithms time-domain analysis optimisation inverse-regulation suppression effect time-domain dynamic response inequality constraint excitation system phase frequency characteristic genetic algorithm mathematical model power system stabiliser PSS4B-W parameter optimisation particle swarm optimisation algorithm parameters optimisation process RTDS platform semiphysical simulation system PCS-9410 excitation regulator RTDS test verification Engineering (General). Civil engineering (General) Shoushou Zhang verfasserin aut Weijun Zhu verfasserin aut Li Li verfasserin aut Hui Li 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.2018.8503 kostenfrei https://doaj.org/article/46cb162a5a544e479aa67ca879a04b9f kostenfrei https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8503 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.2018.8503 doi (DE-627)DOAJ057989583 (DE-599)DOAJ46cb162a5a544e479aa67ca879a04b9f DE-627 ger DE-627 rakwb eng TA1-2040 Siyuan Guo verfasserin aut Power system stabiliser PSS4B-W parameters optimisation and RTDS test verification 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study introduces the mathematical model of a new type of power system stabiliser PSS4B-W. The concept of crossbreed in genetic algorithm is introduced to particle swarm optimisation algorithm and applied to PSS4B-W parameter optimisation. With a PCS-9410 excitation regulator, the semi-physical simulation system is constituted on a real time digital simulator (RTDS) platform. By measuring the excitation system phase frequency characteristic without compensation, the PSS4B-W parameter optimisation is converted to a set of parameters optimisation process with inequality constraint. In the RTDS platform, the time-domain dynamic response of without PSS, adding PSS2B and PSS4B-W, is compared and analysed. Simulation results show that the optimised PSS4B-W can provide effective damping in different frequency bands, and have good inverse-regulation suppression effect. power system stability dynamic response particle swarm optimisation genetic algorithms time-domain analysis optimisation inverse-regulation suppression effect time-domain dynamic response inequality constraint excitation system phase frequency characteristic genetic algorithm mathematical model power system stabiliser PSS4B-W parameter optimisation particle swarm optimisation algorithm parameters optimisation process RTDS platform semiphysical simulation system PCS-9410 excitation regulator RTDS test verification Engineering (General). Civil engineering (General) Shoushou Zhang verfasserin aut Weijun Zhu verfasserin aut Li Li verfasserin aut Hui Li 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.2018.8503 kostenfrei https://doaj.org/article/46cb162a5a544e479aa67ca879a04b9f kostenfrei https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8503 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.2018.8503 doi (DE-627)DOAJ057989583 (DE-599)DOAJ46cb162a5a544e479aa67ca879a04b9f DE-627 ger DE-627 rakwb eng TA1-2040 Siyuan Guo verfasserin aut Power system stabiliser PSS4B-W parameters optimisation and RTDS test verification 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study introduces the mathematical model of a new type of power system stabiliser PSS4B-W. The concept of crossbreed in genetic algorithm is introduced to particle swarm optimisation algorithm and applied to PSS4B-W parameter optimisation. With a PCS-9410 excitation regulator, the semi-physical simulation system is constituted on a real time digital simulator (RTDS) platform. By measuring the excitation system phase frequency characteristic without compensation, the PSS4B-W parameter optimisation is converted to a set of parameters optimisation process with inequality constraint. In the RTDS platform, the time-domain dynamic response of without PSS, adding PSS2B and PSS4B-W, is compared and analysed. Simulation results show that the optimised PSS4B-W can provide effective damping in different frequency bands, and have good inverse-regulation suppression effect. power system stability dynamic response particle swarm optimisation genetic algorithms time-domain analysis optimisation inverse-regulation suppression effect time-domain dynamic response inequality constraint excitation system phase frequency characteristic genetic algorithm mathematical model power system stabiliser PSS4B-W parameter optimisation particle swarm optimisation algorithm parameters optimisation process RTDS platform semiphysical simulation system PCS-9410 excitation regulator RTDS test verification Engineering (General). Civil engineering (General) Shoushou Zhang verfasserin aut Weijun Zhu verfasserin aut Li Li verfasserin aut Hui Li 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.2018.8503 kostenfrei https://doaj.org/article/46cb162a5a544e479aa67ca879a04b9f kostenfrei https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8503 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	power system stability dynamic response particle swarm optimisation genetic algorithms time-domain analysis optimisation inverse-regulation suppression effect time-domain dynamic response inequality constraint excitation system phase frequency characteristic genetic algorithm mathematical model power system stabiliser PSS4B-W parameter optimisation particle swarm optimisation algorithm parameters optimisation process RTDS platform semiphysical simulation system PCS-9410 excitation regulator RTDS test verification Engineering (General). Civil engineering (General)
isfreeaccess_bool	true
container_title	The Journal of Engineering
authorswithroles_txt_mv	Siyuan Guo @@aut@@ Shoushou Zhang @@aut@@ Weijun Zhu @@aut@@ Li Li @@aut@@ Hui Li @@aut@@
publishDateDaySort_date	2019-01-01T00:00:00Z
hierarchy_top_id	75682270X
id	DOAJ057989583
language_de	englisch
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callnumber-first	T - Technology
author	Siyuan Guo
spellingShingle	Siyuan Guo misc TA1-2040 misc power system stability misc dynamic response misc particle swarm optimisation misc genetic algorithms misc time-domain analysis misc optimisation misc inverse-regulation suppression effect misc time-domain dynamic response misc inequality constraint misc excitation system phase frequency characteristic misc genetic algorithm misc mathematical model misc power system stabiliser PSS4B-W parameter optimisation misc particle swarm optimisation algorithm misc parameters optimisation process misc RTDS platform misc semiphysical simulation system misc PCS-9410 excitation regulator misc RTDS test verification misc Engineering (General). Civil engineering (General) Power system stabiliser PSS4B-W parameters optimisation and RTDS test verification
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topic_title	TA1-2040 Power system stabiliser PSS4B-W parameters optimisation and RTDS test verification power system stability dynamic response particle swarm optimisation genetic algorithms time-domain analysis optimisation inverse-regulation suppression effect time-domain dynamic response inequality constraint excitation system phase frequency characteristic genetic algorithm mathematical model power system stabiliser PSS4B-W parameter optimisation particle swarm optimisation algorithm parameters optimisation process RTDS platform semiphysical simulation system PCS-9410 excitation regulator RTDS test verification
topic	misc TA1-2040 misc power system stability misc dynamic response misc particle swarm optimisation misc genetic algorithms misc time-domain analysis misc optimisation misc inverse-regulation suppression effect misc time-domain dynamic response misc inequality constraint misc excitation system phase frequency characteristic misc genetic algorithm misc mathematical model misc power system stabiliser PSS4B-W parameter optimisation misc particle swarm optimisation algorithm misc parameters optimisation process misc RTDS platform misc semiphysical simulation system misc PCS-9410 excitation regulator misc RTDS test verification misc Engineering (General). Civil engineering (General)
topic_unstemmed	misc TA1-2040 misc power system stability misc dynamic response misc particle swarm optimisation misc genetic algorithms misc time-domain analysis misc optimisation misc inverse-regulation suppression effect misc time-domain dynamic response misc inequality constraint misc excitation system phase frequency characteristic misc genetic algorithm misc mathematical model misc power system stabiliser PSS4B-W parameter optimisation misc particle swarm optimisation algorithm misc parameters optimisation process misc RTDS platform misc semiphysical simulation system misc PCS-9410 excitation regulator misc RTDS test verification misc Engineering (General). Civil engineering (General)
topic_browse	misc TA1-2040 misc power system stability misc dynamic response misc particle swarm optimisation misc genetic algorithms misc time-domain analysis misc optimisation misc inverse-regulation suppression effect misc time-domain dynamic response misc inequality constraint misc excitation system phase frequency characteristic misc genetic algorithm misc mathematical model misc power system stabiliser PSS4B-W parameter optimisation misc particle swarm optimisation algorithm misc parameters optimisation process misc RTDS platform misc semiphysical simulation system misc PCS-9410 excitation regulator misc RTDS test verification misc Engineering (General). Civil engineering (General)
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title	Power system stabiliser PSS4B-W parameters optimisation and RTDS test verification
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title_full	Power system stabiliser PSS4B-W parameters optimisation and RTDS test verification
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journal	The Journal of Engineering
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author_browse	Siyuan Guo Shoushou Zhang Weijun Zhu Li Li Hui Li
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doi_str_mv	10.1049/joe.2018.8503
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title_sort	power system stabiliser pss4b-w parameters optimisation and rtds test verification
callnumber	TA1-2040
title_auth	Power system stabiliser PSS4B-W parameters optimisation and RTDS test verification
abstract	This study introduces the mathematical model of a new type of power system stabiliser PSS4B-W. The concept of crossbreed in genetic algorithm is introduced to particle swarm optimisation algorithm and applied to PSS4B-W parameter optimisation. With a PCS-9410 excitation regulator, the semi-physical simulation system is constituted on a real time digital simulator (RTDS) platform. By measuring the excitation system phase frequency characteristic without compensation, the PSS4B-W parameter optimisation is converted to a set of parameters optimisation process with inequality constraint. In the RTDS platform, the time-domain dynamic response of without PSS, adding PSS2B and PSS4B-W, is compared and analysed. Simulation results show that the optimised PSS4B-W can provide effective damping in different frequency bands, and have good inverse-regulation suppression effect.
abstractGer	This study introduces the mathematical model of a new type of power system stabiliser PSS4B-W. The concept of crossbreed in genetic algorithm is introduced to particle swarm optimisation algorithm and applied to PSS4B-W parameter optimisation. With a PCS-9410 excitation regulator, the semi-physical simulation system is constituted on a real time digital simulator (RTDS) platform. By measuring the excitation system phase frequency characteristic without compensation, the PSS4B-W parameter optimisation is converted to a set of parameters optimisation process with inequality constraint. In the RTDS platform, the time-domain dynamic response of without PSS, adding PSS2B and PSS4B-W, is compared and analysed. Simulation results show that the optimised PSS4B-W can provide effective damping in different frequency bands, and have good inverse-regulation suppression effect.
abstract_unstemmed	This study introduces the mathematical model of a new type of power system stabiliser PSS4B-W. The concept of crossbreed in genetic algorithm is introduced to particle swarm optimisation algorithm and applied to PSS4B-W parameter optimisation. With a PCS-9410 excitation regulator, the semi-physical simulation system is constituted on a real time digital simulator (RTDS) platform. By measuring the excitation system phase frequency characteristic without compensation, the PSS4B-W parameter optimisation is converted to a set of parameters optimisation process with inequality constraint. In the RTDS platform, the time-domain dynamic response of without PSS, adding PSS2B and PSS4B-W, is compared and analysed. Simulation results show that the optimised PSS4B-W can provide effective damping in different frequency bands, and have good inverse-regulation suppression effect.
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title_short	Power system stabiliser PSS4B-W parameters optimisation and RTDS test verification
url	https://doi.org/10.1049/joe.2018.8503 https://doaj.org/article/46cb162a5a544e479aa67ca879a04b9f https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8503 https://doaj.org/toc/2051-3305
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up_date	2024-07-03T15:20:03.564Z
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The concept of crossbreed in genetic algorithm is introduced to particle swarm optimisation algorithm and applied to PSS4B-W parameter optimisation. With a PCS-9410 excitation regulator, the semi-physical simulation system is constituted on a real time digital simulator (RTDS) platform. By measuring the excitation system phase frequency characteristic without compensation, the PSS4B-W parameter optimisation is converted to a set of parameters optimisation process with inequality constraint. In the RTDS platform, the time-domain dynamic response of without PSS, adding PSS2B and PSS4B-W, is compared and analysed. 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Civil engineering (General)</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Shoushou Zhang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Weijun Zhu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Li Li</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Hui Li</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 Engineering</subfield><subfield code="d">Wiley, 2013</subfield><subfield code="g">(2019)</subfield><subfield code="w">(DE-627)75682270X</subfield><subfield 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