Unbalanced multi-phase distribution grid topology estimation and bus phase identification

There is an increasing need for monitoring and controlling uncertainties brought by distributed energy resources in distribution grids. For such goal, accurate multi-phase topology is the basis for correlating measurements in unbalanced distribution networks. Unfortunately, such topology knowledge i...
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Autor*in:	Yizheng Liao [verfasserIn] Yang Weng [verfasserIn] Guangyi Liu [verfasserIn] Zhongyang Zhao [verfasserIn] Chin-Woo Tan [verfasserIn] Ram Rajagopal [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	power distribution control load flow smart power grids distribution networks distributed power generation power grids learning (artificial intelligence) power distribution economics power distribution planning smart meters bus phase identification distributed energy resources accurate multiphase topology unbalanced distribution networks topology knowledge low-voltage distribution grids bus phase labelling information multiphase unbalanced systems radial multiphase structure incorrect bus phase labels bus phase connection

Übergeordnetes Werk:	In: IET Smart Grid - Wiley, 2019, (2019)
Übergeordnetes Werk:	year:2019

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1049/iet-stg.2018.0291

Katalog-ID:	DOAJ056788711

Internformat


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520			\|a There is an increasing need for monitoring and controlling uncertainties brought by distributed energy resources in distribution grids. For such goal, accurate multi-phase topology is the basis for correlating measurements in unbalanced distribution networks. Unfortunately, such topology knowledge is often unavailable due to limited investment. Also, the bus phase labeling information is inaccurate due to human errors or outdated records. For this challenge, this paper utilizes smart meter data for an information-theoretic approach to learn the topology of distribution grids. Specifically, multi-phase unbalanced systems are converted into symmetrical components, namely positive, negative, and zero sequences. Then, this paper proves that the Chow-Liu algorithm finds the topology by utilizing power flow equations and the conditional independence relationships implied by the radial multi-phase structure of distribution grids with the presence of incorrect bus phase labels. At last, by utilizing Carson's equation, this paper proves that the bus phase connection can be correctly identified using voltage measurements. For validation, IEEE systems are simulated using three real data sets. The simulation results demonstrate that the algorithm is highly accurate for finding multi-phase topology even with strong load unbalancing condition and DERs. This ensures close monitoring and controlling DERs in distribution grids.
650		4	\|a power distribution control
650		4	\|a load flow
650		4	\|a smart power grids
650		4	\|a distribution networks
650		4	\|a distributed power generation
650		4	\|a power grids
650		4	\|a learning (artificial intelligence)
650		4	\|a power distribution economics
650		4	\|a power distribution planning
650		4	\|a smart meters
650		4	\|a bus phase identification
650		4	\|a distributed energy resources
650		4	\|a accurate multiphase topology
650		4	\|a unbalanced distribution networks
650		4	\|a topology knowledge
650		4	\|a low-voltage distribution grids
650		4	\|a bus phase labelling information
650		4	\|a multiphase unbalanced systems
650		4	\|a radial multiphase structure
650		4	\|a incorrect bus phase labels
650		4	\|a bus phase connection
653		0	\|a Electrical engineering. Electronics. Nuclear engineering
700	0		\|a Yang Weng \|e verfasserin \|4 aut
700	0		\|a Yang Weng \|e verfasserin \|4 aut
700	0		\|a Guangyi Liu \|e verfasserin \|4 aut
700	0		\|a Zhongyang Zhao \|e verfasserin \|4 aut
700	0		\|a Chin-Woo Tan \|e verfasserin \|4 aut
700	0		\|a Ram Rajagopal \|e verfasserin \|4 aut
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allfields	10.1049/iet-stg.2018.0291 doi (DE-627)DOAJ056788711 (DE-599)DOAJad55e80c96424d9183acd5bc5485f954 DE-627 ger DE-627 rakwb eng TK1-9971 Yizheng Liao verfasserin aut Unbalanced multi-phase distribution grid topology estimation and bus phase identification 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier There is an increasing need for monitoring and controlling uncertainties brought by distributed energy resources in distribution grids. For such goal, accurate multi-phase topology is the basis for correlating measurements in unbalanced distribution networks. Unfortunately, such topology knowledge is often unavailable due to limited investment. Also, the bus phase labeling information is inaccurate due to human errors or outdated records. For this challenge, this paper utilizes smart meter data for an information-theoretic approach to learn the topology of distribution grids. Specifically, multi-phase unbalanced systems are converted into symmetrical components, namely positive, negative, and zero sequences. Then, this paper proves that the Chow-Liu algorithm finds the topology by utilizing power flow equations and the conditional independence relationships implied by the radial multi-phase structure of distribution grids with the presence of incorrect bus phase labels. At last, by utilizing Carson's equation, this paper proves that the bus phase connection can be correctly identified using voltage measurements. For validation, IEEE systems are simulated using three real data sets. The simulation results demonstrate that the algorithm is highly accurate for finding multi-phase topology even with strong load unbalancing condition and DERs. This ensures close monitoring and controlling DERs in distribution grids. power distribution control load flow smart power grids distribution networks distributed power generation power grids learning (artificial intelligence) power distribution economics power distribution planning smart meters bus phase identification distributed energy resources accurate multiphase topology unbalanced distribution networks topology knowledge low-voltage distribution grids bus phase labelling information multiphase unbalanced systems radial multiphase structure incorrect bus phase labels bus phase connection Electrical engineering. Electronics. Nuclear engineering Yang Weng verfasserin aut Yang Weng verfasserin aut Guangyi Liu verfasserin aut Zhongyang Zhao verfasserin aut Chin-Woo Tan verfasserin aut Ram Rajagopal verfasserin aut In IET Smart Grid Wiley, 2019 (2019) (DE-627)1023132958 (DE-600)2930480-5 25152947 nnns year:2019 https://doi.org/10.1049/iet-stg.2018.0291 kostenfrei https://doaj.org/article/ad55e80c96424d9183acd5bc5485f954 kostenfrei https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2018.0291 kostenfrei https://doaj.org/toc/2515-2947 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_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/iet-stg.2018.0291 doi (DE-627)DOAJ056788711 (DE-599)DOAJad55e80c96424d9183acd5bc5485f954 DE-627 ger DE-627 rakwb eng TK1-9971 Yizheng Liao verfasserin aut Unbalanced multi-phase distribution grid topology estimation and bus phase identification 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier There is an increasing need for monitoring and controlling uncertainties brought by distributed energy resources in distribution grids. For such goal, accurate multi-phase topology is the basis for correlating measurements in unbalanced distribution networks. Unfortunately, such topology knowledge is often unavailable due to limited investment. Also, the bus phase labeling information is inaccurate due to human errors or outdated records. For this challenge, this paper utilizes smart meter data for an information-theoretic approach to learn the topology of distribution grids. Specifically, multi-phase unbalanced systems are converted into symmetrical components, namely positive, negative, and zero sequences. Then, this paper proves that the Chow-Liu algorithm finds the topology by utilizing power flow equations and the conditional independence relationships implied by the radial multi-phase structure of distribution grids with the presence of incorrect bus phase labels. At last, by utilizing Carson's equation, this paper proves that the bus phase connection can be correctly identified using voltage measurements. For validation, IEEE systems are simulated using three real data sets. The simulation results demonstrate that the algorithm is highly accurate for finding multi-phase topology even with strong load unbalancing condition and DERs. This ensures close monitoring and controlling DERs in distribution grids. power distribution control load flow smart power grids distribution networks distributed power generation power grids learning (artificial intelligence) power distribution economics power distribution planning smart meters bus phase identification distributed energy resources accurate multiphase topology unbalanced distribution networks topology knowledge low-voltage distribution grids bus phase labelling information multiphase unbalanced systems radial multiphase structure incorrect bus phase labels bus phase connection Electrical engineering. Electronics. Nuclear engineering Yang Weng verfasserin aut Yang Weng verfasserin aut Guangyi Liu verfasserin aut Zhongyang Zhao verfasserin aut Chin-Woo Tan verfasserin aut Ram Rajagopal verfasserin aut In IET Smart Grid Wiley, 2019 (2019) (DE-627)1023132958 (DE-600)2930480-5 25152947 nnns year:2019 https://doi.org/10.1049/iet-stg.2018.0291 kostenfrei https://doaj.org/article/ad55e80c96424d9183acd5bc5485f954 kostenfrei https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2018.0291 kostenfrei https://doaj.org/toc/2515-2947 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_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/iet-stg.2018.0291 doi (DE-627)DOAJ056788711 (DE-599)DOAJad55e80c96424d9183acd5bc5485f954 DE-627 ger DE-627 rakwb eng TK1-9971 Yizheng Liao verfasserin aut Unbalanced multi-phase distribution grid topology estimation and bus phase identification 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier There is an increasing need for monitoring and controlling uncertainties brought by distributed energy resources in distribution grids. For such goal, accurate multi-phase topology is the basis for correlating measurements in unbalanced distribution networks. Unfortunately, such topology knowledge is often unavailable due to limited investment. Also, the bus phase labeling information is inaccurate due to human errors or outdated records. For this challenge, this paper utilizes smart meter data for an information-theoretic approach to learn the topology of distribution grids. Specifically, multi-phase unbalanced systems are converted into symmetrical components, namely positive, negative, and zero sequences. Then, this paper proves that the Chow-Liu algorithm finds the topology by utilizing power flow equations and the conditional independence relationships implied by the radial multi-phase structure of distribution grids with the presence of incorrect bus phase labels. At last, by utilizing Carson's equation, this paper proves that the bus phase connection can be correctly identified using voltage measurements. For validation, IEEE systems are simulated using three real data sets. The simulation results demonstrate that the algorithm is highly accurate for finding multi-phase topology even with strong load unbalancing condition and DERs. This ensures close monitoring and controlling DERs in distribution grids. power distribution control load flow smart power grids distribution networks distributed power generation power grids learning (artificial intelligence) power distribution economics power distribution planning smart meters bus phase identification distributed energy resources accurate multiphase topology unbalanced distribution networks topology knowledge low-voltage distribution grids bus phase labelling information multiphase unbalanced systems radial multiphase structure incorrect bus phase labels bus phase connection Electrical engineering. Electronics. Nuclear engineering Yang Weng verfasserin aut Yang Weng verfasserin aut Guangyi Liu verfasserin aut Zhongyang Zhao verfasserin aut Chin-Woo Tan verfasserin aut Ram Rajagopal verfasserin aut In IET Smart Grid Wiley, 2019 (2019) (DE-627)1023132958 (DE-600)2930480-5 25152947 nnns year:2019 https://doi.org/10.1049/iet-stg.2018.0291 kostenfrei https://doaj.org/article/ad55e80c96424d9183acd5bc5485f954 kostenfrei https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2018.0291 kostenfrei https://doaj.org/toc/2515-2947 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_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/iet-stg.2018.0291 doi (DE-627)DOAJ056788711 (DE-599)DOAJad55e80c96424d9183acd5bc5485f954 DE-627 ger DE-627 rakwb eng TK1-9971 Yizheng Liao verfasserin aut Unbalanced multi-phase distribution grid topology estimation and bus phase identification 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier There is an increasing need for monitoring and controlling uncertainties brought by distributed energy resources in distribution grids. For such goal, accurate multi-phase topology is the basis for correlating measurements in unbalanced distribution networks. Unfortunately, such topology knowledge is often unavailable due to limited investment. Also, the bus phase labeling information is inaccurate due to human errors or outdated records. For this challenge, this paper utilizes smart meter data for an information-theoretic approach to learn the topology of distribution grids. Specifically, multi-phase unbalanced systems are converted into symmetrical components, namely positive, negative, and zero sequences. Then, this paper proves that the Chow-Liu algorithm finds the topology by utilizing power flow equations and the conditional independence relationships implied by the radial multi-phase structure of distribution grids with the presence of incorrect bus phase labels. At last, by utilizing Carson's equation, this paper proves that the bus phase connection can be correctly identified using voltage measurements. For validation, IEEE systems are simulated using three real data sets. The simulation results demonstrate that the algorithm is highly accurate for finding multi-phase topology even with strong load unbalancing condition and DERs. This ensures close monitoring and controlling DERs in distribution grids. power distribution control load flow smart power grids distribution networks distributed power generation power grids learning (artificial intelligence) power distribution economics power distribution planning smart meters bus phase identification distributed energy resources accurate multiphase topology unbalanced distribution networks topology knowledge low-voltage distribution grids bus phase labelling information multiphase unbalanced systems radial multiphase structure incorrect bus phase labels bus phase connection Electrical engineering. Electronics. Nuclear engineering Yang Weng verfasserin aut Yang Weng verfasserin aut Guangyi Liu verfasserin aut Zhongyang Zhao verfasserin aut Chin-Woo Tan verfasserin aut Ram Rajagopal verfasserin aut In IET Smart Grid Wiley, 2019 (2019) (DE-627)1023132958 (DE-600)2930480-5 25152947 nnns year:2019 https://doi.org/10.1049/iet-stg.2018.0291 kostenfrei https://doaj.org/article/ad55e80c96424d9183acd5bc5485f954 kostenfrei https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2018.0291 kostenfrei https://doaj.org/toc/2515-2947 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_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/iet-stg.2018.0291 doi (DE-627)DOAJ056788711 (DE-599)DOAJad55e80c96424d9183acd5bc5485f954 DE-627 ger DE-627 rakwb eng TK1-9971 Yizheng Liao verfasserin aut Unbalanced multi-phase distribution grid topology estimation and bus phase identification 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier There is an increasing need for monitoring and controlling uncertainties brought by distributed energy resources in distribution grids. For such goal, accurate multi-phase topology is the basis for correlating measurements in unbalanced distribution networks. Unfortunately, such topology knowledge is often unavailable due to limited investment. Also, the bus phase labeling information is inaccurate due to human errors or outdated records. For this challenge, this paper utilizes smart meter data for an information-theoretic approach to learn the topology of distribution grids. Specifically, multi-phase unbalanced systems are converted into symmetrical components, namely positive, negative, and zero sequences. Then, this paper proves that the Chow-Liu algorithm finds the topology by utilizing power flow equations and the conditional independence relationships implied by the radial multi-phase structure of distribution grids with the presence of incorrect bus phase labels. At last, by utilizing Carson's equation, this paper proves that the bus phase connection can be correctly identified using voltage measurements. For validation, IEEE systems are simulated using three real data sets. The simulation results demonstrate that the algorithm is highly accurate for finding multi-phase topology even with strong load unbalancing condition and DERs. This ensures close monitoring and controlling DERs in distribution grids. power distribution control load flow smart power grids distribution networks distributed power generation power grids learning (artificial intelligence) power distribution economics power distribution planning smart meters bus phase identification distributed energy resources accurate multiphase topology unbalanced distribution networks topology knowledge low-voltage distribution grids bus phase labelling information multiphase unbalanced systems radial multiphase structure incorrect bus phase labels bus phase connection Electrical engineering. Electronics. Nuclear engineering Yang Weng verfasserin aut Yang Weng verfasserin aut Guangyi Liu verfasserin aut Zhongyang Zhao verfasserin aut Chin-Woo Tan verfasserin aut Ram Rajagopal verfasserin aut In IET Smart Grid Wiley, 2019 (2019) (DE-627)1023132958 (DE-600)2930480-5 25152947 nnns year:2019 https://doi.org/10.1049/iet-stg.2018.0291 kostenfrei https://doaj.org/article/ad55e80c96424d9183acd5bc5485f954 kostenfrei https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2018.0291 kostenfrei https://doaj.org/toc/2515-2947 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_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 IET Smart Grid (2019) year:2019
sourceStr	In IET Smart Grid (2019) year:2019
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	power distribution control load flow smart power grids distribution networks distributed power generation power grids learning (artificial intelligence) power distribution economics power distribution planning smart meters bus phase identification distributed energy resources accurate multiphase topology unbalanced distribution networks topology knowledge low-voltage distribution grids bus phase labelling information multiphase unbalanced systems radial multiphase structure incorrect bus phase labels bus phase connection Electrical engineering. Electronics. Nuclear engineering
isfreeaccess_bool	true
container_title	IET Smart Grid
authorswithroles_txt_mv	Yizheng Liao @@aut@@ Yang Weng @@aut@@ Guangyi Liu @@aut@@ Zhongyang Zhao @@aut@@ Chin-Woo Tan @@aut@@ Ram Rajagopal @@aut@@
publishDateDaySort_date	2019-01-01T00:00:00Z
hierarchy_top_id	1023132958
id	DOAJ056788711
language_de	englisch
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For such goal, accurate multi-phase topology is the basis for correlating measurements in unbalanced distribution networks. Unfortunately, such topology knowledge is often unavailable due to limited investment. Also, the bus phase labeling information is inaccurate due to human errors or outdated records. For this challenge, this paper utilizes smart meter data for an information-theoretic approach to learn the topology of distribution grids. Specifically, multi-phase unbalanced systems are converted into symmetrical components, namely positive, negative, and zero sequences. Then, this paper proves that the Chow-Liu algorithm finds the topology by utilizing power flow equations and the conditional independence relationships implied by the radial multi-phase structure of distribution grids with the presence of incorrect bus phase labels. At last, by utilizing Carson's equation, this paper proves that the bus phase connection can be correctly identified using voltage measurements. 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callnumber-first	T - Technology
author	Yizheng Liao
spellingShingle	Yizheng Liao misc TK1-9971 misc power distribution control misc load flow misc smart power grids misc distribution networks misc distributed power generation misc power grids misc learning (artificial intelligence) misc power distribution economics misc power distribution planning misc smart meters misc bus phase identification misc distributed energy resources misc accurate multiphase topology misc unbalanced distribution networks misc topology knowledge misc low-voltage distribution grids misc bus phase labelling information misc multiphase unbalanced systems misc radial multiphase structure misc incorrect bus phase labels misc bus phase connection misc Electrical engineering. Electronics. Nuclear engineering Unbalanced multi-phase distribution grid topology estimation and bus phase identification
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topic_title	TK1-9971 Unbalanced multi-phase distribution grid topology estimation and bus phase identification power distribution control load flow smart power grids distribution networks distributed power generation power grids learning (artificial intelligence) power distribution economics power distribution planning smart meters bus phase identification distributed energy resources accurate multiphase topology unbalanced distribution networks topology knowledge low-voltage distribution grids bus phase labelling information multiphase unbalanced systems radial multiphase structure incorrect bus phase labels bus phase connection
topic	misc TK1-9971 misc power distribution control misc load flow misc smart power grids misc distribution networks misc distributed power generation misc power grids misc learning (artificial intelligence) misc power distribution economics misc power distribution planning misc smart meters misc bus phase identification misc distributed energy resources misc accurate multiphase topology misc unbalanced distribution networks misc topology knowledge misc low-voltage distribution grids misc bus phase labelling information misc multiphase unbalanced systems misc radial multiphase structure misc incorrect bus phase labels misc bus phase connection misc Electrical engineering. Electronics. Nuclear engineering
topic_unstemmed	misc TK1-9971 misc power distribution control misc load flow misc smart power grids misc distribution networks misc distributed power generation misc power grids misc learning (artificial intelligence) misc power distribution economics misc power distribution planning misc smart meters misc bus phase identification misc distributed energy resources misc accurate multiphase topology misc unbalanced distribution networks misc topology knowledge misc low-voltage distribution grids misc bus phase labelling information misc multiphase unbalanced systems misc radial multiphase structure misc incorrect bus phase labels misc bus phase connection misc Electrical engineering. Electronics. Nuclear engineering
topic_browse	misc TK1-9971 misc power distribution control misc load flow misc smart power grids misc distribution networks misc distributed power generation misc power grids misc learning (artificial intelligence) misc power distribution economics misc power distribution planning misc smart meters misc bus phase identification misc distributed energy resources misc accurate multiphase topology misc unbalanced distribution networks misc topology knowledge misc low-voltage distribution grids misc bus phase labelling information misc multiphase unbalanced systems misc radial multiphase structure misc incorrect bus phase labels misc bus phase connection misc Electrical engineering. Electronics. Nuclear engineering
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title	Unbalanced multi-phase distribution grid topology estimation and bus phase identification
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title_full	Unbalanced multi-phase distribution grid topology estimation and bus phase identification
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author_browse	Yizheng Liao Yang Weng Guangyi Liu Zhongyang Zhao Chin-Woo Tan Ram Rajagopal
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title_sort	unbalanced multi-phase distribution grid topology estimation and bus phase identification
callnumber	TK1-9971
title_auth	Unbalanced multi-phase distribution grid topology estimation and bus phase identification
abstract	There is an increasing need for monitoring and controlling uncertainties brought by distributed energy resources in distribution grids. For such goal, accurate multi-phase topology is the basis for correlating measurements in unbalanced distribution networks. Unfortunately, such topology knowledge is often unavailable due to limited investment. Also, the bus phase labeling information is inaccurate due to human errors or outdated records. For this challenge, this paper utilizes smart meter data for an information-theoretic approach to learn the topology of distribution grids. Specifically, multi-phase unbalanced systems are converted into symmetrical components, namely positive, negative, and zero sequences. Then, this paper proves that the Chow-Liu algorithm finds the topology by utilizing power flow equations and the conditional independence relationships implied by the radial multi-phase structure of distribution grids with the presence of incorrect bus phase labels. At last, by utilizing Carson's equation, this paper proves that the bus phase connection can be correctly identified using voltage measurements. For validation, IEEE systems are simulated using three real data sets. The simulation results demonstrate that the algorithm is highly accurate for finding multi-phase topology even with strong load unbalancing condition and DERs. This ensures close monitoring and controlling DERs in distribution grids.
abstractGer	There is an increasing need for monitoring and controlling uncertainties brought by distributed energy resources in distribution grids. For such goal, accurate multi-phase topology is the basis for correlating measurements in unbalanced distribution networks. Unfortunately, such topology knowledge is often unavailable due to limited investment. Also, the bus phase labeling information is inaccurate due to human errors or outdated records. For this challenge, this paper utilizes smart meter data for an information-theoretic approach to learn the topology of distribution grids. Specifically, multi-phase unbalanced systems are converted into symmetrical components, namely positive, negative, and zero sequences. Then, this paper proves that the Chow-Liu algorithm finds the topology by utilizing power flow equations and the conditional independence relationships implied by the radial multi-phase structure of distribution grids with the presence of incorrect bus phase labels. At last, by utilizing Carson's equation, this paper proves that the bus phase connection can be correctly identified using voltage measurements. For validation, IEEE systems are simulated using three real data sets. The simulation results demonstrate that the algorithm is highly accurate for finding multi-phase topology even with strong load unbalancing condition and DERs. This ensures close monitoring and controlling DERs in distribution grids.
abstract_unstemmed	There is an increasing need for monitoring and controlling uncertainties brought by distributed energy resources in distribution grids. For such goal, accurate multi-phase topology is the basis for correlating measurements in unbalanced distribution networks. Unfortunately, such topology knowledge is often unavailable due to limited investment. Also, the bus phase labeling information is inaccurate due to human errors or outdated records. For this challenge, this paper utilizes smart meter data for an information-theoretic approach to learn the topology of distribution grids. Specifically, multi-phase unbalanced systems are converted into symmetrical components, namely positive, negative, and zero sequences. Then, this paper proves that the Chow-Liu algorithm finds the topology by utilizing power flow equations and the conditional independence relationships implied by the radial multi-phase structure of distribution grids with the presence of incorrect bus phase labels. At last, by utilizing Carson's equation, this paper proves that the bus phase connection can be correctly identified using voltage measurements. For validation, IEEE systems are simulated using three real data sets. The simulation results demonstrate that the algorithm is highly accurate for finding multi-phase topology even with strong load unbalancing condition and DERs. This ensures close monitoring and controlling DERs in distribution grids.
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title_short	Unbalanced multi-phase distribution grid topology estimation and bus phase identification
url	https://doi.org/10.1049/iet-stg.2018.0291 https://doaj.org/article/ad55e80c96424d9183acd5bc5485f954 https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2018.0291 https://doaj.org/toc/2515-2947
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up_date	2024-07-03T22:51:10.819Z
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For such goal, accurate multi-phase topology is the basis for correlating measurements in unbalanced distribution networks. Unfortunately, such topology knowledge is often unavailable due to limited investment. Also, the bus phase labeling information is inaccurate due to human errors or outdated records. For this challenge, this paper utilizes smart meter data for an information-theoretic approach to learn the topology of distribution grids. Specifically, multi-phase unbalanced systems are converted into symmetrical components, namely positive, negative, and zero sequences. Then, this paper proves that the Chow-Liu algorithm finds the topology by utilizing power flow equations and the conditional independence relationships implied by the radial multi-phase structure of distribution grids with the presence of incorrect bus phase labels. At last, by utilizing Carson's equation, this paper proves that the bus phase connection can be correctly identified using voltage measurements. For validation, IEEE systems are simulated using three real data sets. The simulation results demonstrate that the algorithm is highly accurate for finding multi-phase topology even with strong load unbalancing condition and DERs. This ensures close monitoring and controlling DERs in distribution grids.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">power distribution control</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">load flow</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">smart power grids</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">distribution networks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">distributed power generation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">power grids</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">learning (artificial intelligence)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">power distribution economics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">power distribution planning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">smart meters</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bus phase identification</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">distributed energy resources</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">accurate multiphase topology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">unbalanced distribution networks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">topology knowledge</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">low-voltage distribution grids</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bus phase labelling information</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">multiphase unbalanced systems</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">radial multiphase structure</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">incorrect bus phase labels</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bus phase connection</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Electrical engineering. Electronics. Nuclear engineering</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yang Weng</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yang Weng</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Guangyi Liu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Zhongyang Zhao</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Chin-Woo Tan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ram Rajagopal</subfield><subfield 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Unbalanced multi-phase distribution grid topology estimation and bus phase identification

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