Inter-area Oscillations in Power Systems 2 P) G) O/ v3 C6 _: E0 e& H* l- A7 `; z; [( j6 v, a/ O
A.R.Messina (Editor) $ T4 E, i+ s4 P) J+ S/ [ Centro de Investigacion Q' Q* r+ `7 F5 ]2 |% q
de Estudios Avanzados s4 h/ d+ `* s/ |, `2 A0 \ del IPN, b# P2 k+ t3 z: \6 Q0 U: A+ M# c
Guadalajara, Mexico }5 Z/ P+ ]& `: u 5 }! I- Y8 H$ A! T w! TInter-area Oscillations in Power Systems: A Nonlinear and Nonstationary 7 u l, l. b6 Q" O& f) T4 f
Perspective deals with the development and application of advanced ! Z% X- g9 d) \$ t/ wmeasurement-based signal processing techniques to the study, & ?9 K3 [# G" G" I5 _1 n- X! D
characterization, and control of inter-area oscillations in power systems. : K/ V' r# f$ W/ r: Z, P
The material reviews recent advances in understanding, modeling and ! I9 I, p3 p$ }' g3 C
controlling system oscillations with special emphasis on the analysis and 1 W" B" q/ O- c3 `
control of complex time-varying (and possibly nonlinear) power system " `, C) E5 U' ptransient processes.9 K' c5 t4 e5 W6 S) s; T
The book is organized into eight chapters written by leading researchers ! p1 I: {% E4 u+ k. u+ ~9 A3 N. r
who are major contributors in this field. The authors provide techniques # f4 [8 C# o, Ethat explicitly address the nonlinear and nonstationary aspects of the g4 q) ^1 P( u7 |. n+ Iproblem. Efficient methods to generate time-varying system approximations # F0 S4 I9 H/ [+ ^
from both measured and simulated data are proposed. Attention is also given 4 [/ @9 b' l5 y' \7 xto the vital new ideas of dynamic security assessment in real-time 7 q1 ]% R% I$ i- \
implementations and the development of smart, wide-area measurement and 7 y% d0 R; f# o$ i- i; r) [8 d3 T
control systems incorporating FACTS technologies. Application examples $ m& @ r! P! k1 Pinclude the analysis of real data collected on grids in western North / L: \/ N# R5 T! r* p0 ^
America, Australia, Italy and Mexico.8 ]; i2 s( h. Q. ?6 g! x: P; ^: ]
Inter-area Oscillations in Power Systems: A Nonlinear and Nonstationary 8 h& R! f( W" Q0 q# b9 t- wPerspective is a comprehensive, systematic account of current analysis 8 ]4 n& @: z& g C3 u% r# H N0 ~
methods in power system oscillatory dynamics in both time and frequency * F& r3 ^6 |& i, T- u) o0 ^0 b, r Q' zdomains ranging from parametric and non-parametric signal processing 7 Z" T% S8 @, t" _* B( K2 q9 Umethods, to data-driven time-series models and statistical approaches.( z0 \. y2 g; R" R8 |+ X0 Z& K8 J
Table of Contents * ?" y4 x: g8 A) q+ k7 NContents : s8 @' h- ~ ~5 \7 K1 ]% S) e, w& [& t
1 Signal Processing Methods for Estimating Small-Signal Dynamic" _! N: b6 G0 Y1 {$ E
Properties from Measured Responses. . . . . . . . . . . . . . . . . . . . . " a8 k# Z% J+ o2 J- Z4 J" O
. . . . 1 0 s8 A0 p- z/ Z4 y3 K; N) Y- _Daniel Trudnowski and John Pierre 0 S8 O7 A# J- g) j, ^4 V& h) ]- }, V( e4 S# ?$ `
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4 i* k# j- C, L# n1 `
8 q9 h* y+ p0 N0 G! v2 Enhancements to the Hilbert朒uang Transform for Application to : {: E5 `2 I: P3 B2 X' jPower System Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . - k5 F; I) [6 v1 C; T! Q, l. . . . . . . . 37 & r1 f% K! v5 |* W7 G" d- `/ gNilanjan Senroy * @8 N% Y, A, ?0 h/ D1 d # V: D$ R* G: L. v3 Variants of Hilbert朒uang Transform with Applications to Power 8 N0 E! N8 t( D- A1 b0 n; QSystems?Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . ) g; h' T: {4 e/ F# W0 | L$ B i. . . . . . 63 : I; w, }' W6 ]Dina Shona Laila, Arturo Roman Messina, and Bikash Pal0 M+ w3 e* f5 H" V' S: \7 I% G/ L
" d/ z1 T6 c" _; V& ?4 Practical Application of Hilbert Transform Techniques in Identifying ; t+ n* o; N3 O( e! JInter-area Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . . 8 \* y$ f) _* q1 H$ Y. . . . . . . . . . 101* f! B9 b5 c. V& b
T. J. Browne, V. Vittal, G.T. Heydt, and Arturo Roman Messina 8 V: M# s9 g0 U2 R! P* O! U5 G& p/ _1 P/ f; W
5 A Real-Time Wide-Area Controller for Mitigating Small-Signal1 Q3 j1 `7 b4 ?$ W! f
Instability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 m" t; U- m+ @% r7 d, y. . . . . . . . . . . . . . 127 2 C* `. S5 j9 u# fJaime Quintero and Vaithianathan (Mani) Venkatasubramanian - y) \2 O' z' V! Q8 z9 D# l- ?7 [1 B. c% }2 x1 O" i' t2 q
6 Complex Empirical Orthogonal Function Analysis of Power System4 V' c) t* T* v9 l/ V" w
Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 Q) O3 \& w; ]
. . . . . . . . . . 159. V8 p( V, E# T, I
P. Esquivel, E. Barocio, M.A. Andrade, and F. Lezama" r# E6 M% z" s' {7 O
( ^+ B: F) N8 r2 C8 h) x/ C7 Detection and Estimation of Nonstationary Power Transients . . . . . . 189! y y+ B$ n' A* K) Z1 s
Gerard Ledwich, Ed Palmer, and Arindam Ghosh3 p; ^1 I& {" X8 K7 j
, [9 a. @ y) G8 o) t6 `3 l
8 Advanced Monitoring and Control Approaches for Enhancing Power9 B3 n) @" `7 S( i
System Security . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ~ e ^! P# u6 d. . . . . . . . . . . 2314 b( h* l' M$ \+ h% e; ^
Sergio Bruno, Michele De Benedictis, and Massimo La Scala 0 z( ^; r+ r& bIndex . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . , Q }) O' ~# }4 I. V) e. . . . . . . . . . . . . . . . . . 261 # T. l- W/ o* T' s3 p. S( i4 B6 D! J" i1 y: {( h
" }; p; v# l4 q. D" j' c0 t/ L) y % B6 I8 C% t2 T! Y. PPublisher: Springer , 233 Spring Street, New York, NY 10013 3 c2 q! _# n3 E! V) D9 G' M; J* Z6 K5 {<http://www.springer.com/>www.springer.com Tel 1-800-Springer 1 H# r+ c- s/ c8 w- q$ BISBN 978-0-387-89529-1 e-ISBN 978-0-387-89530-7 : h. d3 a% L/ H: q2 FSeries: Power Electronics and Power Systems ) B* H% j; K* \; G6 Z0 K2009, 218 p., Hardcover