Inter-area Oscillations in Power Systems7 b- W# ?1 T5 `" o$ `
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A.R.Messina (Editor)7 z9 y: {* k* q8 X
Centro de Investigacion: m: } a S# T0 o4 x
de Estudios Avanzados 5 j* ~3 g( m7 C+ o$ {- ^9 ~7 o: j del IPN ' N: e' K( l& ^# v" Q Guadalajara, Mexico + c# R3 S8 J# F3 @/ W: D7 X; f0 Y0 ]8 A/ y/ F o" v# y+ D" h
Inter-area Oscillations in Power Systems: A Nonlinear and Nonstationary 1 V8 V/ d) q3 p' [+ v, i; b
Perspective deals with the development and application of advanced 9 j* {5 V7 p* q8 e7 q1 K
measurement-based signal processing techniques to the study, 7 W. A: @0 z t. f: [- v( X
characterization, and control of inter-area oscillations in power systems. : Z2 n& `* _8 l ?The material reviews recent advances in understanding, modeling and 5 a; j9 l/ i9 i4 U# F( _0 M
controlling system oscillations with special emphasis on the analysis and % _+ k9 Q* l0 {: Acontrol of complex time-varying (and possibly nonlinear) power system ' E; B- w# A% d0 i" r( [) itransient processes.# \$ ]8 [- s3 d% L! f& ^
The book is organized into eight chapters written by leading researchers 9 B# P9 L& ?" Lwho are major contributors in this field. The authors provide techniques & |) c# Y/ c9 n: X; H8 vthat explicitly address the nonlinear and nonstationary aspects of the 6 M1 i) X# G1 X$ ~' X r
problem. Efficient methods to generate time-varying system approximations 8 z7 r1 U' T6 P6 \* m$ x7 }* B$ f
from both measured and simulated data are proposed. Attention is also given . S! I S, k6 `) A$ G$ _7 Y7 c7 ~2 G
to the vital new ideas of dynamic security assessment in real-time ! f& I) ?- m7 h5 i+ Q% ~implementations and the development of smart, wide-area measurement and ( y7 h2 a2 q! k. ~: L" K
control systems incorporating FACTS technologies. Application examples % F- |+ v- u6 V' W; N; Cinclude the analysis of real data collected on grids in western North % S/ Z$ ^) J2 h; k
America, Australia, Italy and Mexico.- t" G& y1 B& ^$ w1 O
Inter-area Oscillations in Power Systems: A Nonlinear and Nonstationary " N5 E6 b4 o0 L9 N( s' H$ p3 ]Perspective is a comprehensive, systematic account of current analysis 1 c F, \9 k7 S* J( m
methods in power system oscillatory dynamics in both time and frequency . e2 o2 b- b. ~8 }3 Y- H9 {) ~
domains ranging from parametric and non-parametric signal processing - ~: Y6 g5 C8 Z$ qmethods, to data-driven time-series models and statistical approaches. ) K9 m& W$ Y/ t2 g& x* l+ k Table of Contents" O, h) M) X) t( [
Contents) X; G; Y2 j1 ^" x; a9 W; E
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1 Signal Processing Methods for Estimating Small-Signal Dynamic / P% x: w3 a& IProperties from Measured Responses. . . . . . . . . . . . . . . . . . . . . ; T9 N1 ~$ [6 M1 U
. . . . 1! u7 v% U2 O7 X8 `& N" c; r4 u9 O
Daniel Trudnowski and John Pierre! H, g J8 i* K$ q4 g
9 y8 z& K3 g! S8 D' Z 2 [5 g: M0 I2 Q % V* N6 T1 _7 x9 i( z' S( ?, E3 R5 Z3 G# y8 a9 T
2 Enhancements to the Hilbert朒uang Transform for Application to 0 z R$ Z$ ? L6 u" y2 F$ O% SPower System Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . / \: f* |- B `; ^, p& h# l K' A
. . . . . . . . 37+ \9 o0 T$ ]( _' k7 S
Nilanjan Senroy. }7 k7 [6 V# a4 e$ A, ]
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3 Variants of Hilbert朒uang Transform with Applications to Power ' }* P" o. p( x4 ASystems?Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . n# o) q; i* k" f ?7 d. . . . . . 63 . D4 d' Q) {( Z$ Z: {' a: aDina Shona Laila, Arturo Roman Messina, and Bikash Pal( Y9 L9 F; e" h& Y
% B# i; k5 s0 O0 C8 P
4 Practical Application of Hilbert Transform Techniques in Identifying: A' l% b' c4 y6 V, h% W b
Inter-area Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . . 7 r" o- H& n" p9 q) F7 }2 l/ V; b. . . . . . . . . . 101% D$ M, Q& L" @0 V- g1 x, [
T. J. Browne, V. Vittal, G.T. Heydt, and Arturo Roman Messina & Y' t" E& q% n4 Q 6 p5 q, m4 J+ J8 }% \$ r& r5 A Real-Time Wide-Area Controller for Mitigating Small-Signal. p9 A* J3 z$ x1 P+ U z9 g$ f& L
Instability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 }5 O% ^7 R7 i ?* v. . . . . . . . . . . . . . 127 7 ]& m D% X a1 i6 R) f- MJaime Quintero and Vaithianathan (Mani) Venkatasubramanian( x9 g# |# D" G5 \( Z' f/ @, L1 @) p
' K* D2 h2 l* }5 [
6 Complex Empirical Orthogonal Function Analysis of Power System# @* y! g" w' ~( i- I
Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . . . . . ) S4 l7 K9 s9 H8 S5 f# ?. D# K
. . . . . . . . . . 159$ @" r3 s) g. E& s! S2 |3 k3 d
P. Esquivel, E. Barocio, M.A. Andrade, and F. Lezama' Y9 p+ w* H( l3 j1 C7 u
; g, U' S+ p, s1 a, B+ f5 H) s7 Detection and Estimation of Nonstationary Power Transients . . . . . . 189 k$ K5 F9 Q N- ZGerard Ledwich, Ed Palmer, and Arindam Ghosh% \0 z h+ ^1 i* T, [& s
1 W# p* U# E& j. w) |5 p; C
8 Advanced Monitoring and Control Approaches for Enhancing Power & {" m! N3 K0 m% h, hSystem Security . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . / v- f( g" \# [6 K0 ?& P* L
. . . . . . . . . . . 231 [( P4 K* N; K0 ESergio Bruno, Michele De Benedictis, and Massimo La Scala S8 a) `. `) q$ B7 ~4 r3 h
Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . : B% J* m( N/ _+ v) r# K1 K x. . . . . . . . . . . . . . . . . . 261 7 N. ^+ _# s+ Y) z/ A' T& C$ l6 B" G, C# |3 s+ x
5 f% @7 X, ~$ f$ d, I% d
9 u1 s( u! F. |7 nPublisher: Springer , 233 Spring Street, New York, NY 10013 - \. Y5 ]2 N2 G- E<http://www.springer.com/>www.springer.com Tel 1-800-Springer! i6 o' T! V) z5 W [% c$ j/ C
ISBN 978-0-387-89529-1 e-ISBN 978-0-387-89530-7) N; O+ K" `, O% ?/ i. X' t
Series: Power Electronics and Power Systems % ^' h/ Y4 n/ H. u6 d2009, 218 p., Hardcover
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