This classroom-tested text offers students an overview of classical and recent state estimation techniques in power systems. It includes well-established, widely accepted information presented in a didactic way and new insights and perspectives on state estimation developed by the author while conducting some of the most cutting-edge research in the field. This well-balanced mix of theory and practice will enable readers to understand state estimation techniques quickly. The book includes a user-friendly open-software tool integrating computer-based examples throughout the text. Case studies based on practical applications provide readers with a solid understanding of state estimation in real-world power systems.

Power System State Estimation and Forecasting: Fundamentals and Advanced Topics is designed for upper-level undergraduate and graduate-level courses in electric power systems. It is also an essential professional reference on electric power systems for practicing engineers and researchers.

All state estimation steps are addressed Includes case studies and open-software tools and examples Provides coverage on state-of-the-art power system state estimation

Autorentext

Milton Brown Do Coutto Filho has been a Full Professor at Fluminense Federal University (UFF), Institute of Computing, Niterói, Rio de Janeiro, since 1994. He received a B.Sc. from the Catholic University of Rio de Janeiro (PUC-Rio) in electrical engineering and an M.Sc. and D. Sc. in electrical engineering from the Federal University of Rio de Janeiro (UFRJ), Brazil. Prof. Brown's employment experience includes being an Associate Professor in the Electrical Engineering Department at PUC-Rio from 1977 to 1994 and a Visiting Scholar in the Electrical & Computer Engineering Department at Northeastern University, Boston, MA, from 1992 to 1993. His research interests are computer applications in power systems. Prof. Brown is the author of more than two hundred scientific papers published in journals and proceedings of national and international conferences throughout his 46-year career as a university professor.

Inhalt

Introduction.- StaticStateEstimation.- NetworkConfiguration.- ObservationCapabilityofMeasuringSystems.- CriticalityAnalysis.- HandlingCorruptedMeasurements.- ForecastingAidedStateEstimation.- PhasorAidedStateEstimation.- PowerNetworkBranchParameters.- Closure.