Temperature Dependent Branch Current Based Active Distribution System State Estimation
Abstract This paper proposed a state estimation method for an active distribution system that includes conductor temperature as a state variable. It is well known that the feeder parameters of a distribution system are sensitive to temperature variations, line loading and line losses. So the tempera...
Ausführliche Beschreibung
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| Autor*in: |
Prasad, Sachidananda [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
Distribution system state estimation (DSSE) |
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| Anmerkung: |
© The Author(s), under exclusive licence to Shiraz University 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: Iranian journal of science and technology - Cham, Switzerland : Springer International Publishing, 1999, 47(2022), 2 vom: 18. Dez., Seite 695-713 |
|---|---|
| Übergeordnetes Werk: |
volume:47 ; year:2022 ; number:2 ; day:18 ; month:12 ; pages:695-713 |
| Links: |
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| DOI / URN: |
10.1007/s40998-022-00574-6 |
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| Katalog-ID: |
SPR052490971 |
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| 520 | |a Abstract This paper proposed a state estimation method for an active distribution system that includes conductor temperature as a state variable. It is well known that the feeder parameters of a distribution system are sensitive to temperature variations, line loading and line losses. So the temperature variation effect on state estimation performance is highly significant that most authors have not considered in the case of the distribution system. The proposed approach of state estimation has incorporated the temperature uncertainty effect on state estimation accuracy. The conductor parameters such as resistances and reactances are changing due to uncertain variations of conductor temperature. To study the temperature effect, the state vector includes branch current magnitudes and angles of all the lines and conductor temperature as an extra state variable for accurate monitoring and control of the distribution systems. The performance of the proposed temperature-dependent state estimation technique has been tested on the IEEE-69 bus system under different operating scenarios and metrological characteristics of measuring devices for validation of the proposed work. The proposed state estimator performance is also investigated in the presence of distribution generation (DGs). The results obtained using the proposed state estimation techniques have been compared with the conventional state estimation methods for validation of the simulation results. | ||
| 650 | 4 | |a Distribution system state estimation (DSSE) |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Feeder modeling |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Distribution system parameter determination |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Effect of temperature |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Temperature effect on DSSE |7 (dpeaa)DE-He213 | |
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10.1007/s40998-022-00574-6 doi (DE-627)SPR052490971 (SPR)s40998-022-00574-6-e DE-627 ger DE-627 rakwb eng Prasad, Sachidananda verfasserin (orcid)0000-0002-3908-3072 aut Temperature Dependent Branch Current Based Active Distribution System State Estimation 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Shiraz University 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This paper proposed a state estimation method for an active distribution system that includes conductor temperature as a state variable. It is well known that the feeder parameters of a distribution system are sensitive to temperature variations, line loading and line losses. So the temperature variation effect on state estimation performance is highly significant that most authors have not considered in the case of the distribution system. The proposed approach of state estimation has incorporated the temperature uncertainty effect on state estimation accuracy. The conductor parameters such as resistances and reactances are changing due to uncertain variations of conductor temperature. To study the temperature effect, the state vector includes branch current magnitudes and angles of all the lines and conductor temperature as an extra state variable for accurate monitoring and control of the distribution systems. The performance of the proposed temperature-dependent state estimation technique has been tested on the IEEE-69 bus system under different operating scenarios and metrological characteristics of measuring devices for validation of the proposed work. The proposed state estimator performance is also investigated in the presence of distribution generation (DGs). The results obtained using the proposed state estimation techniques have been compared with the conventional state estimation methods for validation of the simulation results. Distribution system state estimation (DSSE) (dpeaa)DE-He213 Feeder modeling (dpeaa)DE-He213 Distribution system parameter determination (dpeaa)DE-He213 Effect of temperature (dpeaa)DE-He213 Temperature effect on DSSE (dpeaa)DE-He213 Enthalten in Iranian journal of science and technology Cham, Switzerland : Springer International Publishing, 1999 47(2022), 2 vom: 18. Dez., Seite 695-713 (DE-627)844130222 (DE-600)2842937-0 2364-1827 nnns volume:47 year:2022 number:2 day:18 month:12 pages:695-713 https://dx.doi.org/10.1007/s40998-022-00574-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 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_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 47 2022 2 18 12 695-713 |
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10.1007/s40998-022-00574-6 doi (DE-627)SPR052490971 (SPR)s40998-022-00574-6-e DE-627 ger DE-627 rakwb eng Prasad, Sachidananda verfasserin (orcid)0000-0002-3908-3072 aut Temperature Dependent Branch Current Based Active Distribution System State Estimation 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Shiraz University 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This paper proposed a state estimation method for an active distribution system that includes conductor temperature as a state variable. It is well known that the feeder parameters of a distribution system are sensitive to temperature variations, line loading and line losses. So the temperature variation effect on state estimation performance is highly significant that most authors have not considered in the case of the distribution system. The proposed approach of state estimation has incorporated the temperature uncertainty effect on state estimation accuracy. The conductor parameters such as resistances and reactances are changing due to uncertain variations of conductor temperature. To study the temperature effect, the state vector includes branch current magnitudes and angles of all the lines and conductor temperature as an extra state variable for accurate monitoring and control of the distribution systems. The performance of the proposed temperature-dependent state estimation technique has been tested on the IEEE-69 bus system under different operating scenarios and metrological characteristics of measuring devices for validation of the proposed work. The proposed state estimator performance is also investigated in the presence of distribution generation (DGs). The results obtained using the proposed state estimation techniques have been compared with the conventional state estimation methods for validation of the simulation results. Distribution system state estimation (DSSE) (dpeaa)DE-He213 Feeder modeling (dpeaa)DE-He213 Distribution system parameter determination (dpeaa)DE-He213 Effect of temperature (dpeaa)DE-He213 Temperature effect on DSSE (dpeaa)DE-He213 Enthalten in Iranian journal of science and technology Cham, Switzerland : Springer International Publishing, 1999 47(2022), 2 vom: 18. Dez., Seite 695-713 (DE-627)844130222 (DE-600)2842937-0 2364-1827 nnns volume:47 year:2022 number:2 day:18 month:12 pages:695-713 https://dx.doi.org/10.1007/s40998-022-00574-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 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_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 47 2022 2 18 12 695-713 |
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10.1007/s40998-022-00574-6 doi (DE-627)SPR052490971 (SPR)s40998-022-00574-6-e DE-627 ger DE-627 rakwb eng Prasad, Sachidananda verfasserin (orcid)0000-0002-3908-3072 aut Temperature Dependent Branch Current Based Active Distribution System State Estimation 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Shiraz University 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This paper proposed a state estimation method for an active distribution system that includes conductor temperature as a state variable. It is well known that the feeder parameters of a distribution system are sensitive to temperature variations, line loading and line losses. So the temperature variation effect on state estimation performance is highly significant that most authors have not considered in the case of the distribution system. The proposed approach of state estimation has incorporated the temperature uncertainty effect on state estimation accuracy. The conductor parameters such as resistances and reactances are changing due to uncertain variations of conductor temperature. To study the temperature effect, the state vector includes branch current magnitudes and angles of all the lines and conductor temperature as an extra state variable for accurate monitoring and control of the distribution systems. The performance of the proposed temperature-dependent state estimation technique has been tested on the IEEE-69 bus system under different operating scenarios and metrological characteristics of measuring devices for validation of the proposed work. The proposed state estimator performance is also investigated in the presence of distribution generation (DGs). The results obtained using the proposed state estimation techniques have been compared with the conventional state estimation methods for validation of the simulation results. Distribution system state estimation (DSSE) (dpeaa)DE-He213 Feeder modeling (dpeaa)DE-He213 Distribution system parameter determination (dpeaa)DE-He213 Effect of temperature (dpeaa)DE-He213 Temperature effect on DSSE (dpeaa)DE-He213 Enthalten in Iranian journal of science and technology Cham, Switzerland : Springer International Publishing, 1999 47(2022), 2 vom: 18. Dez., Seite 695-713 (DE-627)844130222 (DE-600)2842937-0 2364-1827 nnns volume:47 year:2022 number:2 day:18 month:12 pages:695-713 https://dx.doi.org/10.1007/s40998-022-00574-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 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_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 47 2022 2 18 12 695-713 |
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10.1007/s40998-022-00574-6 doi (DE-627)SPR052490971 (SPR)s40998-022-00574-6-e DE-627 ger DE-627 rakwb eng Prasad, Sachidananda verfasserin (orcid)0000-0002-3908-3072 aut Temperature Dependent Branch Current Based Active Distribution System State Estimation 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Shiraz University 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This paper proposed a state estimation method for an active distribution system that includes conductor temperature as a state variable. It is well known that the feeder parameters of a distribution system are sensitive to temperature variations, line loading and line losses. So the temperature variation effect on state estimation performance is highly significant that most authors have not considered in the case of the distribution system. The proposed approach of state estimation has incorporated the temperature uncertainty effect on state estimation accuracy. The conductor parameters such as resistances and reactances are changing due to uncertain variations of conductor temperature. To study the temperature effect, the state vector includes branch current magnitudes and angles of all the lines and conductor temperature as an extra state variable for accurate monitoring and control of the distribution systems. The performance of the proposed temperature-dependent state estimation technique has been tested on the IEEE-69 bus system under different operating scenarios and metrological characteristics of measuring devices for validation of the proposed work. The proposed state estimator performance is also investigated in the presence of distribution generation (DGs). The results obtained using the proposed state estimation techniques have been compared with the conventional state estimation methods for validation of the simulation results. Distribution system state estimation (DSSE) (dpeaa)DE-He213 Feeder modeling (dpeaa)DE-He213 Distribution system parameter determination (dpeaa)DE-He213 Effect of temperature (dpeaa)DE-He213 Temperature effect on DSSE (dpeaa)DE-He213 Enthalten in Iranian journal of science and technology Cham, Switzerland : Springer International Publishing, 1999 47(2022), 2 vom: 18. Dez., Seite 695-713 (DE-627)844130222 (DE-600)2842937-0 2364-1827 nnns volume:47 year:2022 number:2 day:18 month:12 pages:695-713 https://dx.doi.org/10.1007/s40998-022-00574-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 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_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 47 2022 2 18 12 695-713 |
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10.1007/s40998-022-00574-6 doi (DE-627)SPR052490971 (SPR)s40998-022-00574-6-e DE-627 ger DE-627 rakwb eng Prasad, Sachidananda verfasserin (orcid)0000-0002-3908-3072 aut Temperature Dependent Branch Current Based Active Distribution System State Estimation 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Shiraz University 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This paper proposed a state estimation method for an active distribution system that includes conductor temperature as a state variable. It is well known that the feeder parameters of a distribution system are sensitive to temperature variations, line loading and line losses. So the temperature variation effect on state estimation performance is highly significant that most authors have not considered in the case of the distribution system. The proposed approach of state estimation has incorporated the temperature uncertainty effect on state estimation accuracy. The conductor parameters such as resistances and reactances are changing due to uncertain variations of conductor temperature. To study the temperature effect, the state vector includes branch current magnitudes and angles of all the lines and conductor temperature as an extra state variable for accurate monitoring and control of the distribution systems. The performance of the proposed temperature-dependent state estimation technique has been tested on the IEEE-69 bus system under different operating scenarios and metrological characteristics of measuring devices for validation of the proposed work. The proposed state estimator performance is also investigated in the presence of distribution generation (DGs). The results obtained using the proposed state estimation techniques have been compared with the conventional state estimation methods for validation of the simulation results. Distribution system state estimation (DSSE) (dpeaa)DE-He213 Feeder modeling (dpeaa)DE-He213 Distribution system parameter determination (dpeaa)DE-He213 Effect of temperature (dpeaa)DE-He213 Temperature effect on DSSE (dpeaa)DE-He213 Enthalten in Iranian journal of science and technology Cham, Switzerland : Springer International Publishing, 1999 47(2022), 2 vom: 18. Dez., Seite 695-713 (DE-627)844130222 (DE-600)2842937-0 2364-1827 nnns volume:47 year:2022 number:2 day:18 month:12 pages:695-713 https://dx.doi.org/10.1007/s40998-022-00574-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 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_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 47 2022 2 18 12 695-713 |
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract This paper proposed a state estimation method for an active distribution system that includes conductor temperature as a state variable. It is well known that the feeder parameters of a distribution system are sensitive to temperature variations, line loading and line losses. So the temperature variation effect on state estimation performance is highly significant that most authors have not considered in the case of the distribution system. The proposed approach of state estimation has incorporated the temperature uncertainty effect on state estimation accuracy. The conductor parameters such as resistances and reactances are changing due to uncertain variations of conductor temperature. To study the temperature effect, the state vector includes branch current magnitudes and angles of all the lines and conductor temperature as an extra state variable for accurate monitoring and control of the distribution systems. The performance of the proposed temperature-dependent state estimation technique has been tested on the IEEE-69 bus system under different operating scenarios and metrological characteristics of measuring devices for validation of the proposed work. The proposed state estimator performance is also investigated in the presence of distribution generation (DGs). 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Prasad, Sachidananda |
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Prasad, Sachidananda misc Distribution system state estimation (DSSE) misc Feeder modeling misc Distribution system parameter determination misc Effect of temperature misc Temperature effect on DSSE Temperature Dependent Branch Current Based Active Distribution System State Estimation |
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Temperature Dependent Branch Current Based Active Distribution System State Estimation Distribution system state estimation (DSSE) (dpeaa)DE-He213 Feeder modeling (dpeaa)DE-He213 Distribution system parameter determination (dpeaa)DE-He213 Effect of temperature (dpeaa)DE-He213 Temperature effect on DSSE (dpeaa)DE-He213 |
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misc Distribution system state estimation (DSSE) misc Feeder modeling misc Distribution system parameter determination misc Effect of temperature misc Temperature effect on DSSE |
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Temperature Dependent Branch Current Based Active Distribution System State Estimation |
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temperature dependent branch current based active distribution system state estimation |
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Temperature Dependent Branch Current Based Active Distribution System State Estimation |
| abstract |
Abstract This paper proposed a state estimation method for an active distribution system that includes conductor temperature as a state variable. It is well known that the feeder parameters of a distribution system are sensitive to temperature variations, line loading and line losses. So the temperature variation effect on state estimation performance is highly significant that most authors have not considered in the case of the distribution system. The proposed approach of state estimation has incorporated the temperature uncertainty effect on state estimation accuracy. The conductor parameters such as resistances and reactances are changing due to uncertain variations of conductor temperature. To study the temperature effect, the state vector includes branch current magnitudes and angles of all the lines and conductor temperature as an extra state variable for accurate monitoring and control of the distribution systems. The performance of the proposed temperature-dependent state estimation technique has been tested on the IEEE-69 bus system under different operating scenarios and metrological characteristics of measuring devices for validation of the proposed work. The proposed state estimator performance is also investigated in the presence of distribution generation (DGs). The results obtained using the proposed state estimation techniques have been compared with the conventional state estimation methods for validation of the simulation results. © The Author(s), under exclusive licence to Shiraz University 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Abstract This paper proposed a state estimation method for an active distribution system that includes conductor temperature as a state variable. It is well known that the feeder parameters of a distribution system are sensitive to temperature variations, line loading and line losses. So the temperature variation effect on state estimation performance is highly significant that most authors have not considered in the case of the distribution system. The proposed approach of state estimation has incorporated the temperature uncertainty effect on state estimation accuracy. The conductor parameters such as resistances and reactances are changing due to uncertain variations of conductor temperature. To study the temperature effect, the state vector includes branch current magnitudes and angles of all the lines and conductor temperature as an extra state variable for accurate monitoring and control of the distribution systems. The performance of the proposed temperature-dependent state estimation technique has been tested on the IEEE-69 bus system under different operating scenarios and metrological characteristics of measuring devices for validation of the proposed work. The proposed state estimator performance is also investigated in the presence of distribution generation (DGs). The results obtained using the proposed state estimation techniques have been compared with the conventional state estimation methods for validation of the simulation results. © The Author(s), under exclusive licence to Shiraz University 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract This paper proposed a state estimation method for an active distribution system that includes conductor temperature as a state variable. It is well known that the feeder parameters of a distribution system are sensitive to temperature variations, line loading and line losses. So the temperature variation effect on state estimation performance is highly significant that most authors have not considered in the case of the distribution system. The proposed approach of state estimation has incorporated the temperature uncertainty effect on state estimation accuracy. The conductor parameters such as resistances and reactances are changing due to uncertain variations of conductor temperature. To study the temperature effect, the state vector includes branch current magnitudes and angles of all the lines and conductor temperature as an extra state variable for accurate monitoring and control of the distribution systems. The performance of the proposed temperature-dependent state estimation technique has been tested on the IEEE-69 bus system under different operating scenarios and metrological characteristics of measuring devices for validation of the proposed work. The proposed state estimator performance is also investigated in the presence of distribution generation (DGs). The results obtained using the proposed state estimation techniques have been compared with the conventional state estimation methods for validation of the simulation results. © The Author(s), under exclusive licence to Shiraz University 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Temperature Dependent Branch Current Based Active Distribution System State Estimation |
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