Cyber-Physical Power Systems State Estimation

Arturo Bretas, Newton Bretas, Joao B.A. London Jr, Breno Carvalho

Cyber-Physical Power Systems State Estimation - 1
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Cyber-Physical Power System State Estimation updates classic state estimation tools to enable real-time operations and optimize reliability in modern electric power systems. The work introduces and contextualizes the core concepts and classic approaches to state estimation modeling. It builds on these classic approaches with a suite of data-driven models and non-synchronized measurement tools to reflect current measurement trends required by increasingly more sophisticated grids. Chapters outline core definitions, concepts...

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Resumo

Cyber-Physical Power System State Estimation updates classic state estimation tools to enable real-time operations and optimize reliability in modern electric power systems. The work introduces and contextualizes the core concepts and classic approaches to state estimation modeling. It builds on these classic approaches with a suite of data-driven models and non-synchronized measurement tools to reflect current measurement trends required by increasingly more sophisticated grids. Chapters outline core definitions, concepts and the network analysis procedures involved in the real-time operation of EPS. Specific sections introduce power flow problem in EPS, highlighting network component modeling and power flow equations for state estimation before addressing quasi static state estimation in electrical power systems using Weighted Least Squares (WLS) classical and alternatives formulations. Particularities of the state estimation process in distribution systems are also considered. Finally, the work goes on to address observability analysis, measurement redundancy and the processing of gross errors through the analysis of WLS static state estimator residuals.
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Características

Editora

Elsevier - Health Sciences Division

Idiomas

Inglês

Número de páginas

292

Encadernação

Capa Mole / Paperback

Data de lançamento

18/05/2021

Comprimento

15,2 cm

Largura

157,5 cm

Altura

22,9 cm

Peso

390 g

Tema

Motores elétricos

EAN

9780323900331

Publicidade
Publicidade