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: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Stevenage
The Institution of Engineering and Technology
2022
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Schriftenreihe: | IET energy engineering
183 |
Online-Zugang: | TUM01 UBY01 URL des Erstveröffentlichers |
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: | 1 Online-Ressource (xviii, 367 Seiten) Illustrationen, Diagramme |
ISBN: | 9781839532023 |
DOI: | 10.1049/PBPO183E |
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institution | BVB |
isbn | 9781839532023 |
language | English |
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physical | 1 Online-Ressource (xviii, 367 Seiten) Illustrationen, Diagramme |
psigel | ZDB-100-IET ZDB-100-IET TUM_Paketkauf_2022 |
publishDate | 2022 |
publishDateSearch | 2022 |
publishDateSort | 2022 |
publisher | The Institution of Engineering and Technology |
record_format | marc |
series2 | IET energy engineering |
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 1 Online-Ressource (xviii, 367 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier IET energy engineering 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 Druck-Ausgabe 978-1-83953-201-6 https://doi.org/10.1049/PBPO183E Verlag URL des Erstveröffentlichers Volltext |
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_exact_search_txtP | 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 |
url | https://doi.org/10.1049/PBPO183E |
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