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Inter-area Oscillations in Power Systems
8 S9 Z+ f' V. `5 z% s% d* W3 T6 e- Y: S7 V
A.R.Messina (Editor)1 ~. B! b; C0 i1 y, j) l
Centro de Investigacion7 }( l0 q5 X' o- s
de Estudios Avanzados
- t; j6 \0 @5 H del IPN% k% X% X! n7 ?/ m; j# Z) |
Guadalajara, Mexico
8 e; B4 Z% Q( f# V
9 O& S% T; f# j- d6 jInter-area Oscillations in Power Systems: A Nonlinear and Nonstationary ; v- |. [6 k" j, Y. Z4 S L
Perspective deals with the development and application of advanced * A7 f2 [# v! h3 `0 F
measurement-based signal processing techniques to the study,
. Y7 ]; P. R) G% Ocharacterization, and control of inter-area oscillations in power systems.
3 [4 r( c9 {+ ~" CThe material reviews recent advances in understanding, modeling and # v. d+ j4 ]/ \
controlling system oscillations with special emphasis on the analysis and
) a6 e" f- G/ Z+ t# tcontrol of complex time-varying (and possibly nonlinear) power system
3 P0 @7 }% d0 f* Y1 N; Vtransient processes.
$ \2 x, A4 a% | uThe book is organized into eight chapters written by leading researchers
, x% Z; B# I/ z! y: Z6 x2 x6 Cwho are major contributors in this field. The authors provide techniques
' a" S5 }9 r& r( o1 \$ gthat explicitly address the nonlinear and nonstationary aspects of the
. p; z7 b' d# ]problem. Efficient methods to generate time-varying system approximations
* Z7 y( R8 P7 b) ~9 v" |. N: Z2 sfrom both measured and simulated data are proposed. Attention is also given ; j; H( u1 P X' q8 M/ r
to the vital new ideas of dynamic security assessment in real-time # ~. k1 A. \+ u6 b3 ]; X. @7 n8 l/ S# N
implementations and the development of smart, wide-area measurement and
! b) o- a3 Z& {$ T& pcontrol systems incorporating FACTS technologies. Application examples 6 w! f: A; ^0 c. g+ T* s, @
include the analysis of real data collected on grids in western North ; _, p0 l3 Y2 \( @5 N- G& m: K
America, Australia, Italy and Mexico.; ~7 W$ u0 g" S# P7 R. x/ {
Inter-area Oscillations in Power Systems: A Nonlinear and Nonstationary ! @& K" C7 u" F0 }* L
Perspective is a comprehensive, systematic account of current analysis
6 Z6 z2 `1 D) n& P Y$ A0 Nmethods in power system oscillatory dynamics in both time and frequency
7 T2 L/ @" \* e0 Xdomains ranging from parametric and non-parametric signal processing # p; u5 p) a) ^1 d. y* Z% @
methods, to data-driven time-series models and statistical approaches.! v% B8 W# L- S
Table of Contents" H5 [) F' B6 [; q. D+ C
Contents# X x8 D+ I- c9 H- c4 ?
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1 Signal Processing Methods for Estimating Small-Signal Dynamic
/ Y7 h: V: p0 ~& cProperties from Measured Responses. . . . . . . . . . . . . . . . . . . . .
& Z# Y( G4 } C5 y8 F9 q. . . . 1
$ {9 s: H% X- \Daniel Trudnowski and John Pierre
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2 P$ }. Q2 X0 T! f9 Z$ r* ?& y9 r1 e% l4 ? a0 n& S$ I# _9 A
2 Enhancements to the Hilbert朒uang Transform for Application to
8 Q* Q# }1 J# G) c# I, ^! mPower System Oscillations . . . . . . . . . . . . . . . . . . . . . . . . .
, K$ _4 {9 v& q& U/ e, C6 {. . . . . . . . 37
# L5 B( h$ h3 d* g, V, L1 _# pNilanjan Senroy
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3 Variants of Hilbert朒uang Transform with Applications to Power* f; z, N/ G/ l! a: T o
Systems?Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . & u8 n4 o; h- R
. . . . . . 63
% a6 [4 o! e: @! `% UDina Shona Laila, Arturo Roman Messina, and Bikash Pal
! Y1 ]2 V7 w. |* x( h
6 u& @( I- \: O7 e4 Practical Application of Hilbert Transform Techniques in Identifying- k. T! T8 h* y0 t' W
Inter-area Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . .
- S/ \. A: K6 ]4 B9 l$ I& M8 ^% R3 ^. . . . . . . . . . 101
% n, Y. _$ j+ D- i& W$ Z6 _" [T. J. Browne, V. Vittal, G.T. Heydt, and Arturo Roman Messina
, Y! q5 A4 u) i3 N$ O
+ f5 R, ~7 Q0 X2 m1 C* ]5 A Real-Time Wide-Area Controller for Mitigating Small-Signal* R6 ~& O6 {) i$ K c; r# E
Instability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . % I+ c ?+ O4 g$ u% V
. . . . . . . . . . . . . . 127
: q7 m. l K1 k5 q& F7 e$ pJaime Quintero and Vaithianathan (Mani) Venkatasubramanian4 z B+ q( k) H+ d/ Y2 M
9 V6 e- A' |0 a% p. p% B* y6 Complex Empirical Orthogonal Function Analysis of Power System, I% L7 s9 ]3 `* L, P
Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 a# P' D# m( Q) a9 v3 m; i5 d
. . . . . . . . . . 1592 n+ x6 a2 }; S8 v9 U/ O: A* H
P. Esquivel, E. Barocio, M.A. Andrade, and F. Lezama, k* L. ~4 k! K+ U0 m- [/ |1 R
- f2 ?9 Z+ o" w. h' e1 a) ^7 Detection and Estimation of Nonstationary Power Transients . . . . . . 1897 o( d% i0 O: @$ a$ F
Gerard Ledwich, Ed Palmer, and Arindam Ghosh: [, m& j* N1 Y
8 t- F: U' x/ p& r
8 Advanced Monitoring and Control Approaches for Enhancing Power
1 C" `# \, ^+ g4 e% @System Security . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ' q4 H" M+ y* d3 ^, L
. . . . . . . . . . . 2315 t3 a+ h- C/ A7 A
Sergio Bruno, Michele De Benedictis, and Massimo La Scala
# Y0 `' j: @ p5 `. G: P- CIndex . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0 N2 P! E3 H- @/ e$ S
. . . . . . . . . . . . . . . . . . 261
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B3 y, ~. }6 y. P+ OPublisher: Springer , 233 Spring Street, New York, NY 10013& I @; [/ D' R H
<http://www.springer.com/>www.springer.com Tel 1-800-Springer
0 y# ?, i+ s% L4 YISBN 978-0-387-89529-1 e-ISBN 978-0-387-89530-7: b, S/ W$ d1 G/ ~7 N, [
Series: Power Electronics and Power Systems
, {' J& `7 g3 _; h$ | P! j2009, 218 p., Hardcover |
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