Inter-area Oscillations in Power Systems ) w! ]' O" f( p' `, \& k0 D; h ! i% P k& K8 U A.R.Messina (Editor) + c- c& |1 `4 m9 h Centro de Investigacion ' r; e' m9 g4 x5 b% F* u' i de Estudios Avanzados5 Z- D, f2 k9 v3 C/ [, p1 \/ c3 {
del IPN7 N3 S5 }( s3 g* W E n' x8 }
Guadalajara, Mexico# @# I, P3 ]! _ M: r% t8 C) }9 A9 I0 R
6 j& Q6 i$ X/ F; t- q9 V F# iInter-area Oscillations in Power Systems: A Nonlinear and Nonstationary ! |* h0 `. D) y( ?$ x
Perspective deals with the development and application of advanced 7 X- t, h/ z0 b( L$ Y$ M
measurement-based signal processing techniques to the study, : D: B% F2 s% a l5 Z: p8 r, t
characterization, and control of inter-area oscillations in power systems. 1 w+ K! ]! W% E1 {The material reviews recent advances in understanding, modeling and ' }/ O# t9 ?* T6 J! Hcontrolling system oscillations with special emphasis on the analysis and " `& I: X, ]6 B, X N2 p7 j1 o& w7 j
control of complex time-varying (and possibly nonlinear) power system # T% E* g7 `5 v" [
transient processes.4 _; y" W1 x0 U7 z6 I* z5 e0 H
The book is organized into eight chapters written by leading researchers 0 }" F6 d4 \ e* c9 w
who are major contributors in this field. The authors provide techniques ( H% \1 q$ D, q# n9 B; ?
that explicitly address the nonlinear and nonstationary aspects of the & j* d+ ? u' f9 E) m4 R: Yproblem. Efficient methods to generate time-varying system approximations w! {4 V" F* f+ P" K$ {( W
from both measured and simulated data are proposed. Attention is also given * Z# Y9 X3 t$ g: t0 w. D# b* k7 o& eto the vital new ideas of dynamic security assessment in real-time % h ?7 {" @: d! L5 Himplementations and the development of smart, wide-area measurement and : A2 ]9 D) B+ }: R- r
control systems incorporating FACTS technologies. Application examples / t ^1 r! y" z3 t4 E/ I
include the analysis of real data collected on grids in western North % D$ `& U4 r1 a8 Y J/ ?! ^$ G4 `6 hAmerica, Australia, Italy and Mexico.; {# r* y9 C% y& _# X' L7 x- Q
Inter-area Oscillations in Power Systems: A Nonlinear and Nonstationary $ G) o! L p- I2 s% C1 ?0 F. [Perspective is a comprehensive, systematic account of current analysis 2 K) t6 K3 b: c+ p
methods in power system oscillatory dynamics in both time and frequency % X5 |2 a0 W5 Q1 v6 k/ p# g
domains ranging from parametric and non-parametric signal processing 1 M2 ~2 b; V8 emethods, to data-driven time-series models and statistical approaches. ) ~3 |! y3 f* }# v2 [$ _ Table of Contents* m1 e2 X1 k% u, g. g
Contents! f; Y8 P& Y" k6 z1 k. s6 [
2 L/ p% l2 k3 {$ ?
1 Signal Processing Methods for Estimating Small-Signal Dynamic $ W! {5 D5 q, u' m+ l% A5 Y8 D5 I& RProperties from Measured Responses. . . . . . . . . . . . . . . . . . . . . 3 k. U' _9 ~' u$ _2 g4 X) ]
. . . . 1* v( e- ]% x% q! ^, e* U- ?& @* J
Daniel Trudnowski and John Pierre 2 u2 a% {" Z1 l) q% U! K/ ?* } 7 ` w) m9 h% |' T3 I& i' `3 a2 t5 ~# F+ l
% Q7 l) }0 O' ^$ u% t
- y8 K# }9 g6 i9 t/ S' t4 @
2 Enhancements to the Hilbert朒uang Transform for Application to 0 ^+ }! D* f2 n& EPower System Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . : N: P5 h; z. Z3 p% {. @) @# F
. . . . . . . . 375 C& i( O5 F) ?9 W
Nilanjan Senroy+ o- h/ G1 j% Q+ D W
2 h# {% A) ~0 V; B' t1 J [. X+ |3 Variants of Hilbert朒uang Transform with Applications to Power* [% W; n8 [2 G; `6 \
Systems?Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . + @9 U7 i- N+ x9 W# p1 B
. . . . . . 634 p8 m/ I2 r9 J1 P
Dina Shona Laila, Arturo Roman Messina, and Bikash Pal " `1 p- u I6 R5 j0 Y7 U' I! w v1 \+ H/ A, V
4 Practical Application of Hilbert Transform Techniques in Identifying 3 Z, ^4 o( {' {6 e( k$ [; O sInter-area Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . . r+ b6 O+ ?, F; w. D) I7 H* j
. . . . . . . . . . 101 ) y, Z. o" _+ [. q1 L1 M6 yT. J. Browne, V. Vittal, G.T. Heydt, and Arturo Roman Messina ) S' F" E' E$ e: q) s" C$ n9 C) M' S5 h+ }) ~8 @1 [
5 A Real-Time Wide-Area Controller for Mitigating Small-Signal% l! s4 J) `; z+ O" b
Instability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 W( A3 T4 h2 O) `0 A: V
. . . . . . . . . . . . . . 127/ S8 S, H9 M) ~8 m" T8 ~
Jaime Quintero and Vaithianathan (Mani) Venkatasubramanian ! l5 l1 T% G) j5 n6 J; ?: \# C' q( O) A3 N3 b! P! N
6 Complex Empirical Orthogonal Function Analysis of Power System $ o6 K; n( ?( B8 _Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . . . . . ' q, e' S. }( i, t9 u5 u, ]4 q. . . . . . . . . . 159 4 j$ e7 [# A0 G" ], X7 c5 ~ e6 ]P. Esquivel, E. Barocio, M.A. Andrade, and F. Lezama" H$ i1 G3 ]# _, g4 [$ ?
8 f- L5 S5 `' u' m# b7 G7 Detection and Estimation of Nonstationary Power Transients . . . . . . 189 + I+ k& [6 P8 EGerard Ledwich, Ed Palmer, and Arindam Ghosh. _/ L# g, Z7 B( C/ i* g
# E# ~! N5 M' z% V3 D6 }) n% Z+ v# r8 Advanced Monitoring and Control Approaches for Enhancing Power1 S: z, A( C. ]
System Security . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ! F M$ N D8 T( {9 C
. . . . . . . . . . . 231* V' Q6 N* C9 n- Y6 v& p5 U- v
Sergio Bruno, Michele De Benedictis, and Massimo La Scala; _" G/ N' {! m( W& m. @' f
Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 E1 \( n' u% p, W5 K: q# ^! u7 c
. . . . . . . . . . . . . . . . . . 261 . p% T' ]" b7 t+ I ) [& W0 {) G1 k3 A4 D3 g* s5 z1 b- F0 Z
2 x% e- L G( J6 Y- h3 B0 k6 u2 G: Z; Q
Publisher: Springer , 233 Spring Street, New York, NY 10013 ( B; P. ]3 c" T/ n$ O<http://www.springer.com/>www.springer.com Tel 1-800-Springer+ g' a) e+ f1 U4 }7 w# t
ISBN 978-0-387-89529-1 e-ISBN 978-0-387-89530-7 & Z" C6 G( d- `& I4 w! sSeries: Power Electronics and Power Systems; Q+ r) e F" {! Y
2009, 218 p., Hardcover