Inter-area Oscillations in Power Systems7 j7 C) w/ k' m$ i) w+ V) \& ]6 h
& D/ x! n q' @( b A.R.Messina (Editor) 1 {& Q9 h! y# @# k8 ?4 w Centro de Investigacion* |/ r) j$ Q% |% l' @7 ^" T1 U
de Estudios Avanzados4 i* v: U1 K0 S! B( _
del IPN 3 E: h; x. a' o5 W5 k0 ? Guadalajara, Mexico ! n) b$ w; H( D . g" a& d, h+ QInter-area Oscillations in Power Systems: A Nonlinear and Nonstationary , Y1 j) G4 C! h* e3 {Perspective deals with the development and application of advanced 7 e/ `1 }; W) O" v) [) R( lmeasurement-based signal processing techniques to the study, ) `) H) s/ f% B% [ g& E& a9 E
characterization, and control of inter-area oscillations in power systems. e, @- o7 g3 D' h5 t$ \The material reviews recent advances in understanding, modeling and 4 a$ t' z1 B: B5 |# L& p
controlling system oscillations with special emphasis on the analysis and + L+ d2 i* A/ V# K/ I4 z
control of complex time-varying (and possibly nonlinear) power system $ c: ]) f& h7 N* a9 M5 |transient processes.) c$ u: ^9 {) M8 I G9 b* {
The book is organized into eight chapters written by leading researchers / ~1 i* d( e4 h2 g
who are major contributors in this field. The authors provide techniques 7 j( x) W2 |9 U+ [
that explicitly address the nonlinear and nonstationary aspects of the 8 `9 T' X9 A/ e/ A5 yproblem. Efficient methods to generate time-varying system approximations 9 q' p3 N. j) J( i+ r. s( a; v
from both measured and simulated data are proposed. Attention is also given # @& m+ P. N ?/ x, [1 O
to the vital new ideas of dynamic security assessment in real-time 1 E: A: i8 v V' ?5 rimplementations and the development of smart, wide-area measurement and , Y& u3 W4 Y9 ^9 J( G0 ^/ g
control systems incorporating FACTS technologies. Application examples . d! I% a: ?! n2 ?' ?! @
include the analysis of real data collected on grids in western North * U# d2 d- I7 ]America, Australia, Italy and Mexico." P4 K0 o4 Q, E
Inter-area Oscillations in Power Systems: A Nonlinear and Nonstationary ' r% r0 g$ h$ P N4 P- TPerspective is a comprehensive, systematic account of current analysis # z& I, R; I! Z: w& q* Kmethods in power system oscillatory dynamics in both time and frequency * L" F3 J5 i6 w! l
domains ranging from parametric and non-parametric signal processing B# G% s$ L: Rmethods, to data-driven time-series models and statistical approaches.) E, b6 |' C' c1 J% x
Table of Contents 2 ]# [" ^; `- I8 A! v/ I2 ZContents+ n! j1 a* U" ?7 d: J5 r
2 @( W! H+ E$ ~$ c0 f/ L+ d0 o! f. \
1 Signal Processing Methods for Estimating Small-Signal Dynamic# }0 A" C) f3 Z, e3 o
Properties from Measured Responses. . . . . . . . . . . . . . . . . . . . . ( [! d' w& b4 ?* {+ @
. . . . 18 X; g; e" W2 f) H
Daniel Trudnowski and John Pierre 1 B: P) L9 y7 o# h* `/ P0 g; o; j$ J# g7 r- P$ [7 D
# d7 R M# k+ h5 X% U- k$ V6 B% F j* K
; s4 W% ~0 g/ i1 s* `- T0 v
2 Enhancements to the Hilbert朒uang Transform for Application to4 M% p( {* I4 F3 L
Power System Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . 0 U6 ^0 c& Z( K! K# s/ z
. . . . . . . . 37 1 x( @1 N3 n8 jNilanjan Senroy6 I* |" C4 K/ w) T, n
. k! q* B! o$ Q' C1 W
3 Variants of Hilbert朒uang Transform with Applications to Power 4 O% u \' ?8 Y+ o0 [" \% JSystems?Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . 4 F* J8 [: D8 W8 L2 s
. . . . . . 63 $ K" g8 M, I8 rDina Shona Laila, Arturo Roman Messina, and Bikash Pal/ y: K5 { Z" W3 W1 ?
! P9 _8 ~" q4 k0 q( m4 Practical Application of Hilbert Transform Techniques in Identifying 3 G5 z% g( a" z3 z9 U# QInter-area Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . . ; d5 a6 ?. r% H% L. . . . . . . . . . 101$ ~- Z" `9 o6 q' U
T. J. Browne, V. Vittal, G.T. Heydt, and Arturo Roman Messina - F) d, I' E5 q+ P1 E$ K1 H5 _ : C1 p9 I2 V$ H2 y4 m' }0 q+ E% i5 A Real-Time Wide-Area Controller for Mitigating Small-Signal : \" M% k! W* V, S& t& ?, kInstability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ! }2 h; @# F! @9 ^3 h. . . . . . . . . . . . . . 1270 m; O; |9 R+ X" ?3 v& ?' q7 I
Jaime Quintero and Vaithianathan (Mani) Venkatasubramanian 9 }1 a' O2 g9 ?. l5 \) R/ W/ _' D9 v
6 Complex Empirical Orthogonal Function Analysis of Power System & X+ B( U! N! v6 fOscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . . . . . ( C1 g4 L! R. j: |, c" A3 D. . . . . . . . . . 1591 k# M3 u9 {: ?' N6 Q& w
P. Esquivel, E. Barocio, M.A. Andrade, and F. Lezama 9 G6 n# S4 u5 J/ V: H% G y% c9 q + [2 l) T: m5 h1 W" L7 Detection and Estimation of Nonstationary Power Transients . . . . . . 189 4 Q( S1 h5 p0 k! j' N' g4 qGerard Ledwich, Ed Palmer, and Arindam Ghosh: D( Q4 g$ k: m7 G% W
$ n) m4 }% v3 QPublisher: Springer , 233 Spring Street, New York, NY 10013: V' S7 `9 z4 h9 w5 d- T
<http://www.springer.com/>www.springer.com Tel 1-800-Springer0 c% ^4 {8 j- X5 s" d: O; t
ISBN 978-0-387-89529-1 e-ISBN 978-0-387-89530-7 & s* d. q$ o) b$ A, R4 vSeries: Power Electronics and Power Systems/ V3 X- @6 Y/ I0 M
2009, 218 p., Hardcover
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