Top

Published in:

2024 | OriginalPaper | Chapter

10. Closure

Author : Milton Brown Do Coutto Filho

Published in: Power System State Estimation and Forecasting

Publisher: Springer Nature Switzerland

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

This chapter expresses the author’s viewpoints on SE, backed up by many years of research. The difficulties of implementing power system state estimation (SE) are discussed. SE’s characteristics, standing as the pinnacle of complexity and unprecedented challenges, unmatched by any other applications of estimation theory created, are gathered. Aspects such as residual analysis, detectability and identifiability of bad data, criticality analysis, forecasting-aided state estimation, and accessibility of synchrophasors to enhance redundancy are issues addressed. A list of references finishes the chapter.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

previous chapter Power Network Branch Parameters

A.H. Jazwinski, Stochastic Processes and Filtering Theory (Dover Publications, Mineola, 2007)

M.B. Do Coutto Filho, J.C. Stacchini de Souza, J.D. Glover, Roots, achievements, and prospects of power system state estimation: A review on handling corrupted measurements. Int. Trans. Electr. Energy Syst. 29(4), e2779 (Apr. 2019)CrossRef

F.C. Schweppe, Power system static-state estimation, part III: Implementation. IEEE Trans. PAS PAS-89(1), 130–135 (Jan. 1970)CrossRef

B. Gou, D. Shue, Advances in algorithms for power system static state estimators: An improved solution for bad data management and state estimator convergence. IEEE Power Energy Mag. 21(1), 16–25 (Jan.–Feb. 2023)CrossRef

G. Cheng, Y. Lin, A. Abur, A. Gómez-Expósito, W. Wu, A survey of power system state estimation using multiple data sources: PMUs, SCADA, AMI, and beyond. IEEE Trans. Smart Grid 15(1), 1129–1151 (Jan. 2024)CrossRef

V.B. Braga Flôr, M.B. Do Coutto Filho, J.C. Stacchini de Souza, P.P. Vergara, Critical data visualization to enhance protection schemes for state estimation. IEEE Trans. Smart Grid 14(2), 1249–1261 (Mar. 2023)CrossRef

M.B. Do Coutto Filho, J.C. Stacchini de Souza, Forecasting-aided state estimation—Part I: Panorama. IEEE Trans. Power Syst. 24(4), 1667–1677 (Nov. 2009)CrossRef

M.B. Do Coutto Filho, J.C. Stacchini de Souza, M.A. Ribeiro Guimaraens, Enhanced bad data processing by phasor-aided state estimation. IEEE Trans. Power Syst. 29(5), 2200–2209 (Sept. 2014)CrossRef

Title: Closure
Author: Milton Brown Do Coutto Filho
Publisher: Springer Nature Switzerland
Book: Power System State Estimation and Forecasting
Print ISBN: 978-3-031-63287-7

Electronic ISBN: 978-3-031-63288-4

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-3-031-63288-4_10