Since the publication of the first edition of this book, wide-area measurement systems (WAMS) have transformed the way that power system oscillations are monitored and studied. These systems consist of networks of time-synchronized sensors distributed over wide geographic areasenabling new approaches not only for situational awareness but also for power system control. This fully revised and expanded edition discusses the core ideas behind WAMS, real-time situational awareness, and wide-area control as they pertain to power system oscillations. Major technological advancements since the first edition's release are covered in five new chapters. This new material highlights a first-of-its-kind demonstration project in which a 3.1 GW high-voltage direct current transmission line was used to damp inter-area oscillations in a large interconnection. It also discusses oscillations in systems dominated by inverter-based generation, including forced oscillations, which arise not from resonances but exogenous system inputs. The book includes many worked examples throughout the text using the Power System Toolbox with MATLAB, allowing readers to analyze and/or reproduce every example independently.

Power System Oscillations, Second Edition, will be a valuable reference for practicing power system engineers working in the electric utility industry. Professors, students, and research scientists studying power system dynamics will also find it to be a welcomed reference text.

Provides a foundation in the theory of electromechanical oscillations Covers the fundamentals of wide-area measurement systems (WAMS) Includes MATLAB® based software and scripts

Autorentext

Graham Rogers graduated from Southampton University, Hampshire, UK, in 1961. He had a varied career in engineering practice and teaching. In the United Kingdom, he was a consultant mathematician with Associated Electrical Industries (AEI), Rugby, and taught in the Electrical Engineering Department of Southampton University. He emigrated to Canada in 1978 to work in the System Planning Division of Ontario Hydro, where he was Senior Engineer, Specialist Control. In 1993, he retired from Ontario Hydro and formed Cherry Tree Scientific Software, through which he performed consulting in power system dynamics and control and developed computer programs for power system analysis. He was an Associate Editor of IEEE Transactions on Control Technology and was on several IEEE Power Engineering Society committees. He was also an adjunct associate professor at the University of Toronto. He published 40 papers on various aspects of power system analysis and control. Ryan T. Elliott, Ph.D., received the M.S. and Ph.D. degrees in electrical engineering from the University of Washington, Seattle, in 2012 and 2020, respectively. From 2012 to 2015, he was a Research Scientist with the Electric Power Systems Research Department at Sandia National Laboratories in Albuquerque, NM. In 2015, he returned to the University of Washington to pursue a Ph.D., working as a Research Assistant in the Renewable Energy Analysis Laboratory from 2015 to 2020. In 2020, he rejoined Sandia where he is currently a Principal Member of Technical Staff. Dr. Elliott led the development of the WECC model validation guideline for central station photovoltaic power plants in 2015. He also received an R&D 100 Award for his contributions to a real-time damping control system using PMU feedback in 2017. Daniel J. Trudnowksi, Ph.D., received the M.S. and Ph.D. degrees in electrical engineering from Montana State University, Bozeman, in 1988 and 1991, respectively. From 1991 through 1995, he was with Battelle at the Pacific Northwest National Laboratory where he was a Research Engineer. In 1995, he joined Montana Technological University in Butte, where he is currently a Professor of Electrical Engineering. Over the past 30 years, his research activities have primarily focused on problems related to power system dynamics and controls. Dr. Trudnowski is a Fellow of the IEEE and is a registered professional engineer in the state of Montana. Felipe Wilches-Bernal, Ph.D., received an M.S. degree in control systems and signal processing from Université Paris-Sud XI, Orsay, France, and a Ph.D. in electrical engineering from Rensselaer Polytechnic Institute. He currently works as a Software Engineer at Google in Boulder, CO. From 2015 to 2022 he worked at the Electric Power Systems Research Department at Sandia National Laboratories in Albuquerque, NM, as a Senior and then Principal Member of Technical Staff. During his work at Sandia, he served as a key technical contributor and a PI/Co-PI of multiple projects in the power systems integration area. Dr. Wilches-Bernal's research interests include power system stability and control, renewable energy and smart grid technologies, and signal processing, control techniques and machine learning applied to power systems. He was a key contributor to the team that received an R&D 100 Award in 2017 for developing a control system for active damping of inter-area oscillations. Denis Osipov, Ph.D., received the B.S. and M.S. degrees in electrical engineering from the Donetsk National Technical University, Donetsk, Ukraine, in 2004 and 2005, respectively. He received his Ph.D. degree in electrical engineering from University of Tennessee, Knoxville, TN, USA in 2018. From 2019 through 2023 he was a research scientist at the Department of Electrical, Computer, and Systems Engineering in Rensselaer Polytechnic Institute, Troy, NY, USA when he lead the RPI team to win 2021 IEEE-NASPI Oscillation Source Locatio

Inhalt

Introduction.- The Nature of Power System Oscillations.- Modal Analysis of Power Systems.- Modal Analysis for Control.- Power System Structure and Oscillations.- Generator Controls.- Power System Stabilizers.- Power System Stabilizers Problems and Solutions.- Robust Control.- Damping by Electronic Power System Devices.- Wide-Area Measurement Systems.- Modal Analysis in the Context of Wide-Area Measurement Systems.- Wide-Area Control of Power System Oscillations.- Forced Oscillations.- Oscillations in Low-Inertia Power Systems.- Appendix 1: Model Data Formats and Block Diagrams.- Appendix 2: Equal Eigenvalues.