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Titlebook: Inter-area Oscillations in Power Systems; A Nonlinear and Nons Arturo Roman Messina Book 2009 The Editor(s) (if applicable) and The Author(

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书目名称Inter-area Oscillations in Power Systems
副标题A Nonlinear and Nons
编辑Arturo Roman Messina
视频video
概述Covers spatio-temporal behavior of large interconnected systems, one of the fastest-growing disciplines of applicable signal processing and time series analysis theory.Includes applications where thes
丛书名称Power Electronics and Power Systems
图书封面Titlebook: Inter-area Oscillations in Power Systems; A Nonlinear and Nons Arturo Roman Messina Book 2009 The Editor(s) (if applicable) and The Author(
描述The study of complex dynamic processes governed by nonlinear and nonstationary characteristics is a problem of great importance in the analysis and control of power system oscillatory behavior. Power system dynamic processes are highly random, nonlinear to some extent, and intrinsically nonstationary even over short time intervals as in the case of severe transient oscillations in which switching events and control actions interact in a complex manner. Phenomena observed in power system oscillatory dynamics are diverse and complex. Measured ambient data are known to exhibit noisy, nonstationary fluctuations resulting primarily from small magnitude, random changes in load, driven by low-scale motions or nonlinear trends originating from slow control actions or changes in operating conditions. Forced oscillations resulting from major cascading events, on the other hand, may contain motions with a broad range of scales and can be highly nonlinear and time-varying. Prediction of temporal dynamics, with the ultimate application to real-time system monitoring, protection and control, remains a major research challenge due to the complexity of the driving dynamic and control processes ope
出版日期Book 2009
关键词control; detection; development; instability; large electric power systems; linearity; low and high freque
版次1
doihttps://doi.org/10.1007/978-0-387-89530-7
isbn_softcover978-1-4419-4707-9
isbn_ebook978-0-387-89530-7Series ISSN 2196-3185 Series E-ISSN 2196-3193
issn_series 2196-3185
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines
The information of publication is updating

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,Variants of Hilbert–Huang Transform with Applications to Power Systems’ Oscillatory Dynamics, temporal modal frequency and damping behavior and enables a better interpretation of nonlinear and nonstationary phenomena in physical terms..This chapter investigates several extension to the HHT. A critical review of existing approaches to HHT is first presented. Then, a refined masking signal EM
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Complex Empirical Orthogonal Function Analysis of Power System Oscillatory Dynamics, phase of motions, which are essential in the interpretation and characterization of transient processes in power systems. The efficiency and accuracy of the developed procedures for capturing the temporal evolution of the modal content of data from time synchronized phasor measurements of a real ev
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Nilanjan Senroyy, and that there is increasing organisational interest and engagement in business ecosystems for smart homes. The chapter points towards the following prerequisites for a sustainability trajectory of smart homes: integrated building performance that can deliver measurable sustainability results; ba
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