Power distribution system state estimation:
State estimation is a key function for real-time operation and control of electrical power systems since its role is to provide a complete, coherent, and reliable network real-time model used to set up other real-time operation and control functions. In recent years it has extended its applications...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Stevenage
The Institution of Engineering and Technology
2022
|
| Schriftenreihe: | IET energy engineering series
183 |
| Zusammenfassung: | State estimation is a key function for real-time operation and control of electrical power systems since its role is to provide a complete, coherent, and reliable network real-time model used to set up other real-time operation and control functions. In recent years it has extended its applications to monitoring active distribution networks with distributed energy resources. The inputs of a conventional state estimator are a redundant collection of real-time measurement, load and production forecasts and a mathematical model that relates these measurements to the complex nodal voltages, which are taken as the state variables of the system. The goal of state estimation is to adjust models so that they are closer to observed values and deliver better forecasts. In power systems, this is key to maintaining power quality and operating generation and storage units well. This book, written by international authors from industry and universities, systematically addresses state estimation in power distribution systems. Chapters convey techniques for distribution system state estimation, such as classical methods, three-phase network modelling, power flow calculation, fast decoupled approaches and their new application via complex per unit normalization, the Bayesian method, and multiarea state estimation. Also, synchronized and non-synchronized measurements with different sample rates, real-time monitoring, and practical experiences of distribution state estimation are covered. Researchers involved with electrical power and electrical distribution systems, professionals working in utilities, advanced students and PhD students will find this work essential reading |
| Beschreibung: | xviii, 367 Seiten Illustrationen, Diagramme |
| ISBN: | 9781839532016 |
Internformat
MARC
| LEADER | 00000nam a2200000 cb4500 | ||
|---|---|---|---|
| 001 | BV050126367 | ||
| 003 | DE-604 | ||
| 007 | t| | ||
| 008 | 250117s2022 xx a||| |||| 00||| eng d | ||
| 020 | |a 9781839532016 |9 978-1-83953-201-6 | ||
| 035 | |a (DE-599)BVBBV050126367 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-Aug4 | ||
| 084 | |a ZN 8510 |0 (DE-625)157629: |2 rvk | ||
| 245 | 1 | 0 | |a Power distribution system state estimation |c edited by Elizete Maria Lourenço and João Bosco Augusto London Junior |
| 264 | 1 | |a Stevenage |b The Institution of Engineering and Technology |c 2022 | |
| 300 | |a xviii, 367 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a IET energy engineering series |v 183 | |
| 520 | |a State estimation is a key function for real-time operation and control of electrical power systems since its role is to provide a complete, coherent, and reliable network real-time model used to set up other real-time operation and control functions. In recent years it has extended its applications to monitoring active distribution networks with distributed energy resources. The inputs of a conventional state estimator are a redundant collection of real-time measurement, load and production forecasts and a mathematical model that relates these measurements to the complex nodal voltages, which are taken as the state variables of the system. The goal of state estimation is to adjust models so that they are closer to observed values and deliver better forecasts. In power systems, this is key to maintaining power quality and operating generation and storage units well. This book, written by international authors from industry and universities, systematically addresses state estimation in power distribution systems. Chapters convey techniques for distribution system state estimation, such as classical methods, three-phase network modelling, power flow calculation, fast decoupled approaches and their new application via complex per unit normalization, the Bayesian method, and multiarea state estimation. Also, synchronized and non-synchronized measurements with different sample rates, real-time monitoring, and practical experiences of distribution state estimation are covered. Researchers involved with electrical power and electrical distribution systems, professionals working in utilities, advanced students and PhD students will find this work essential reading | ||
| 700 | 1 | |a Lourenço, Elizete Maria |4 edt | |
| 700 | 1 | |a Bosco Augusto London Junior, João |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe, PDF |z 978-1-83953-202-3 |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035463166 | |
Datensatz im Suchindex
| _version_ | 1821493602560245760 |
|---|---|
| adam_text | |
| any_adam_object | |
| author2 | Lourenço, Elizete Maria Bosco Augusto London Junior, João |
| author2_role | edt edt |
| author2_variant | e m l em eml a l j j b aljj aljjb |
| author_facet | Lourenço, Elizete Maria Bosco Augusto London Junior, João |
| building | Verbundindex |
| bvnumber | BV050126367 |
| classification_rvk | ZN 8510 |
| ctrlnum | (DE-599)BVBBV050126367 |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 cb4500</leader><controlfield tag="001">BV050126367</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">250117s2022 xx a||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781839532016</subfield><subfield code="9">978-1-83953-201-6</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV050126367</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-Aug4</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ZN 8510</subfield><subfield code="0">(DE-625)157629:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Power distribution system state estimation</subfield><subfield code="c">edited by Elizete Maria Lourenço and João Bosco Augusto London Junior</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Stevenage</subfield><subfield code="b">The Institution of Engineering and Technology</subfield><subfield code="c">2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xviii, 367 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">IET energy engineering series</subfield><subfield code="v">183</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">State estimation is a key function for real-time operation and control of electrical power systems since its role is to provide a complete, coherent, and reliable network real-time model used to set up other real-time operation and control functions. In recent years it has extended its applications to monitoring active distribution networks with distributed energy resources. The inputs of a conventional state estimator are a redundant collection of real-time measurement, load and production forecasts and a mathematical model that relates these measurements to the complex nodal voltages, which are taken as the state variables of the system. The goal of state estimation is to adjust models so that they are closer to observed values and deliver better forecasts. In power systems, this is key to maintaining power quality and operating generation and storage units well. This book, written by international authors from industry and universities, systematically addresses state estimation in power distribution systems. Chapters convey techniques for distribution system state estimation, such as classical methods, three-phase network modelling, power flow calculation, fast decoupled approaches and their new application via complex per unit normalization, the Bayesian method, and multiarea state estimation. Also, synchronized and non-synchronized measurements with different sample rates, real-time monitoring, and practical experiences of distribution state estimation are covered. Researchers involved with electrical power and electrical distribution systems, professionals working in utilities, advanced students and PhD students will find this work essential reading</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lourenço, Elizete Maria</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bosco Augusto London Junior, João</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe, PDF</subfield><subfield code="z">978-1-83953-202-3</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-035463166</subfield></datafield></record></collection> |
| id | DE-604.BV050126367 |
| illustrated | Illustrated |
| indexdate | 2025-01-17T11:01:06Z |
| institution | BVB |
| isbn | 9781839532016 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035463166 |
| open_access_boolean | |
| owner | DE-Aug4 |
| owner_facet | DE-Aug4 |
| physical | xviii, 367 Seiten Illustrationen, Diagramme |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | The Institution of Engineering and Technology |
| record_format | marc |
| series2 | IET energy engineering series |
| spelling | Power distribution system state estimation edited by Elizete Maria Lourenço and João Bosco Augusto London Junior Stevenage The Institution of Engineering and Technology 2022 xviii, 367 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier IET energy engineering series 183 State estimation is a key function for real-time operation and control of electrical power systems since its role is to provide a complete, coherent, and reliable network real-time model used to set up other real-time operation and control functions. In recent years it has extended its applications to monitoring active distribution networks with distributed energy resources. The inputs of a conventional state estimator are a redundant collection of real-time measurement, load and production forecasts and a mathematical model that relates these measurements to the complex nodal voltages, which are taken as the state variables of the system. The goal of state estimation is to adjust models so that they are closer to observed values and deliver better forecasts. In power systems, this is key to maintaining power quality and operating generation and storage units well. This book, written by international authors from industry and universities, systematically addresses state estimation in power distribution systems. Chapters convey techniques for distribution system state estimation, such as classical methods, three-phase network modelling, power flow calculation, fast decoupled approaches and their new application via complex per unit normalization, the Bayesian method, and multiarea state estimation. Also, synchronized and non-synchronized measurements with different sample rates, real-time monitoring, and practical experiences of distribution state estimation are covered. Researchers involved with electrical power and electrical distribution systems, professionals working in utilities, advanced students and PhD students will find this work essential reading Lourenço, Elizete Maria edt Bosco Augusto London Junior, João edt Erscheint auch als Online-Ausgabe, PDF 978-1-83953-202-3 |
| spellingShingle | Power distribution system state estimation |
| title | Power distribution system state estimation |
| title_auth | Power distribution system state estimation |
| title_exact_search | Power distribution system state estimation |
| title_full | Power distribution system state estimation edited by Elizete Maria Lourenço and João Bosco Augusto London Junior |
| title_fullStr | Power distribution system state estimation edited by Elizete Maria Lourenço and João Bosco Augusto London Junior |
| title_full_unstemmed | Power distribution system state estimation edited by Elizete Maria Lourenço and João Bosco Augusto London Junior |
| title_short | Power distribution system state estimation |
| title_sort | power distribution system state estimation |
| work_keys_str_mv | AT lourencoelizetemaria powerdistributionsystemstateestimation AT boscoaugustolondonjuniorjoao powerdistributionsystemstateestimation |