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Cyber-Physical Power Systems State Estimation
Authoritative, classical and novel resource on methods to optimize real-time operations for grid reliability in renewable electric power systems
Arturo Bretas (Author), Newton Bretas (Author), Joao B.A. London Jr (Author), Breno Carvalho (Author)
9780323900331, Elsevier Science
Paperback / softback, published 18 May 2021
292 pages
22.9 x 15.2 x 1.9 cm, 0.39 kg
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.
1. Introduction to Cyber-Physical Power Systems State Estimation 2. Real-Time Operation of Power Systems 3. Power Flow in Electric Power Systems 4. Quasi Static State Estimation in Electric Power Systems 5. Qualitative Characteristics of Measurement Sets 6. Gross Errors Processing in Measurements 7. Methodology for Error Processing based on the Innovation Index 8. Data driven state estimation solutions 9. Dynamic State Estimation
Subject Areas: Electric motors [THRM]
