This advanced textbook explores representations of signals in electric energy systems (EES) and their applications in tasks such as protection, monitoring, estimation, and control. EES plays a crucial role in energy conversion at levels ranging from personal devices and vehicles, such as cars, airplanes, and ships, to regions and even whole continents. The text provides a unified modeling framework for consistent EES analysis, design, and integration with physical and cyber environments. It includes tools that enable frequency-selective modeling, simulation, and control. In modern EES, the switching mode of operation introduces multiple frequency components in signals, and the book's modeling concepts help quantify the dynamics of harmonics in power networks. Coverage includes power electronic converters, electric machines and drives, and other power system components. One of the book's main focuses is characterizing EES transients, which is of significant engineering interest, especially for emerging control and protection strategies that utilize signal processing and microcontrollers.

Dynamics Phasors in Energy Processing Systems is appropriate for graduate and advanced undergraduate courses in electric energy engineering and is a valuable professional resource for researchers and practitioners in industry, academia, and national laboratories.

Includes background material, technical details, and data for test scenarios; Offers a unified framework for modelling, simulation, estimation, and control; Provides a precise definition of dynamic phasors

Autorentext

Hanoch Lev-Ari obtained his Ph.D. degree in electrical engineering from Stanford University, Stanford, CA, USA, in 1984. In 1990, he joined the Department of Electrical and Computer Engineering at Northeastern University, Boston, MA, where he is currently a Professor Emeritus. From 1994 to 1996, he was Director of the Communications and Digital Signal Processing Center at Northeastern University. He has also held visiting positions with the Massachusetts Institute of Technology (1996-1997), the Naval Postgraduate School in Monterey, CA (1984-1985 and 2003-2004), and Tufts University (2011-2012 and 2018-2019). Dr. Lev-Ari was an Associate Editor for the Circuits, Systems, and Signal Processing journal and the IEEE Transactions on Circuits and Systems I. He is a member of SIAM and a Life Fellow of the IEEE. Alex M. Stankovi is a Distinguished Scientist at SLAC National Accelerator Laboratory. His research interests include modeling, estimation, and control in energy processing systems (power systems, power electronics, and electric drives). He obtained his Ph.D. degree from the Massachusetts Institute of Technology. He served as A.H. Howell Professor at Tufts University from 2010 to 2021 and was with Northeastern University, Boston, from 1993 to 2010. He has also held visiting positions with the United Technologies Research Center, East Hartford, CT, USA, in 2000 and 2007, and with L'Universite de Paris-Sud, Orsay, France, and CentraleSupélec, Gif-sur-Yvette, France, in 2004. He is a Fellow of the IEEE and has been an Associate Editor for the Proceedings of the IEEE and various IEEE Transactions for over 25 years. He has authored nearly 300 technical publications and is a co-editor of the Springer book series Power Electronics and Power Systems.

Inhalt

I: Theory of Dynamic Phasors.- Background.- Dynamic Fourier Phasors.- Efficient Estimation of Dynamic Phasors.- Beyond Phasors: Constant-bandwidth Transforms.- Beyond Phasors: Variable-bandwidth Transforms.- II: Modeling and Control Applications of Dynamic Phasors.- Power Electronic Converters.- Electric Machines and Power Systems.- III: Applications to Power Flow in Electric Energy Processing Systems.- Power Quality in Steady-state.- Power Flow in the Presence of Transients.- Appendices.- Linear System With Periodic Excitation.- Duration & Bandwidth of Window Functions.- Lagrange Identity.- Variance Components for Grouped Data.- Orthogonal Decomposition of Periodic Polyphase Current Waveforms.- Geometric Algebra.- a Least-squares Approach to Dynamic Phasor Estimation.- Cycle-averaging of Instantaneous Metrics.- Tellegen's Theorem and Network-conservative Power Metrics.- Fundamentals of Euclidean and Hilbert Spaces.- State-space Model for Symmetrical Sequence Components.- Example Scenarios