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Computer Relaying for Power Systems
Arun G. Phadke,James S. Thorp +1 more
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In this paper, the authors present a comprehensive, up-to-date account of computer relaying in power systems, based in part on the author's extensive experience in the field.Abstract:
This text/reference presents a comprehensive, up-to-date account of computer relaying in power systems, based in part on the author's extensive experience in the field. Provides background material on current relaying practices, and covers the mathematical foundations for relaying algorithms. Each chapter contains helpful illustrations, examples, and problems.read more
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Collective dynamics of small-world networks
TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
Proceedings ArticleDOI
Measurement and analysis of online social networks
TL;DR: This paper examines data gathered from four popular online social networks: Flickr, YouTube, LiveJournal, and Orkut, and reports that the indegree of user nodes tends to match the outdegree; the networks contain a densely connected core of high-degree nodes; and that this core links small groups of strongly clustered, low-degree node at the fringes of the network.
Book
Synchronized Phasor Measurements and Their Applications
Arun G. Phadke,James S. Thorp +1 more
TL;DR: Phasor Measurement Techniques and Applications: Estimation of Nominal Frequency Inputs and Phasor Estimation at Off-Nominal Frequency inputs.
Journal ArticleDOI
Networks, dynamics, and the small-world phenomenon
TL;DR: The small‐world phenomenon, formalized in this article as the coincidence of high local clustering and short global separation, is shown to be a general feature of sparse, decentralized networks that are neither completely ordered nor completely random.
Journal ArticleDOI
Fault location using wavelets
F.H. Magnago,Ali Abur +1 more
TL;DR: In this article, the use of wavelet transforms for analyzing power system fault transients in order to determine the fault location is described, which is related to the travel time of the signals which are already decomposed into their modal components.
References
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Book
Discrete-Time Signal Processing
TL;DR: In this paper, the authors provide a thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete time Fourier analysis.
Journal ArticleDOI
On the use of windows for harmonic analysis with the discrete Fourier transform
TL;DR: A comprehensive catalog of data windows along with their significant performance parameters from which the different windows can be compared is included, and an example demonstrates the use and value of windows to resolve closely spaced harmonic signals characterized by large differences in amplitude.
Journal ArticleDOI
Fault Protection with a Digital Computer
TL;DR: In this article, a fundamental basis has been developed for the use of a time-shared stored-program digital computer to perform many of the electrical power-system protective-relay functions in a substation.