Power System Oscillations deals with the analysis and control of low frequency oscillations in the 0.2-3 Hz range, which are a characteristic of interconnected power systems. Small variations in system load excite the oscillations, which must be damped effectively to maintain secure and stable system operation. No warning is given for the occurrence of growing oscillations caused by oscillatory instability, since a change in the system's operating condition may cause the transition from stable to unstable. If not limited by nonlinearities, unstable oscillations may lead to rapid system collapse. Thus, it is difficult for operators to intervene manually to restore the system's stability. It follows that it is important to analyze a system's oscillatory behavior in order to understand the system's limits. If the limits imposed by oscillatory instability are too low, they may be increased by the installation of special stabilizing controls.
Since the late 60s when this phenomena was first observed in North American systems, intensive research has resulted in design and installation of stabilizing controls known as power system stabilizers (PSS). The design, location and tuning of PSS require special analytical tools. This book addresses these questions in a modal analysis framework, with transient simulation as a measure of controlled system performance. After discussing the nature of the oscillations, the design of the PSS is discussed extensively using modal analysis and frequency response. In the scenario of the restructured power system, the performance of power system damping controls must be insensitive to parameter uncertainties. Power system stabilizers, when well tuned, are shown to be robust using the techniques of modern control theory. The design of damping controls, which operate through electronic power system devices (FACTS), is also discussed. There are many worked examples throughout the text.
The Power System Toolbox© for usewith MATLAB® is used to perform all of the analyses used in this book.
The text is based on the author's experience of over 40 years as an engineer in the power industry and as an educator.

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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 Osci

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Power System Oscillations deals with the analysis and control of low frequency oscillations in the 0.2-3 Hz range, which are a characteristic of interconnected power systems. Small variations in system load excite the oscillations, which must be damped effectively to maintain secure and stable system operation. No warning is given for the occurrence of growing oscillations caused by oscillatory instability, since a change in the system's operating condition may cause the transition from stable to unstable. If not limited by nonlinearities, unstable oscillations may lead to rapid system collapse. Thus, it is difficult for operators to intervene manually to restore the system's stability. It follows that it is important to analyze a system's oscillatory behavior in order to understand the system's limits. If the limits imposed by oscillatory instability are too low, they may be increased by the installation of special stabilizing controls. Since the late 60s when this phenomena was first observed in North American systems, intensive research has resulted in design and installation of stabilizing controls known as power system stabilizers (PSS). The design, location and tuning of PSS require special analytical tools. This book addresses these questions in a modal analysis framework, with transient simulation as a measure of controlled system performance. After discussing the nature of the oscillations, the design of the PSS is discussed extensively using modal analysis and frequency response. In the scenario of the restructured power system, the performance of power system damping controls must be insensitive to parameter uncertainties. Power system stabilizers, when well tuned, are shown to be robust using the techniques of modern control theory. The design of damping controls, which operate through electr…