Inter-area Oscillations in Power Systems m: j; h3 m8 y5 c4 _) \; p 2 I# e. _) l2 ^6 X& M+ D# |/ ]/ w8 W A.R.Messina (Editor) ; O2 u- R! T$ b5 m Centro de Investigacion3 R( }; b) E* E1 O5 o8 d+ R7 _6 f
de Estudios Avanzados) G4 M+ V$ P. f8 p* X
del IPN 8 h+ E J* i# ^- ^9 m) ` Guadalajara, Mexico2 S* t" t# k; Q) q- A, k
4 P3 O: Q- s7 E2 V1 ?% PInter-area Oscillations in Power Systems: A Nonlinear and Nonstationary : T; i" \) {: H W
Perspective deals with the development and application of advanced 7 q8 P" O" Z7 r5 v' e0 X, nmeasurement-based signal processing techniques to the study, 2 s2 j8 M1 c3 W4 `% bcharacterization, and control of inter-area oscillations in power systems. 3 X* K8 l3 ~5 m M6 t1 pThe material reviews recent advances in understanding, modeling and 0 h( v- ?; G2 ^3 f
controlling system oscillations with special emphasis on the analysis and 8 m4 h4 V, ^( D. Q3 Q: ]" {
control of complex time-varying (and possibly nonlinear) power system . a1 F" o) U' u% W6 e. Gtransient processes. : d/ f9 _2 {! F0 ?0 v6 [! _The book is organized into eight chapters written by leading researchers R! U; U. B+ O+ P b
who are major contributors in this field. The authors provide techniques E+ y7 T1 w" ethat explicitly address the nonlinear and nonstationary aspects of the 6 C, F$ l+ z! {: y G. @+ r2 e( `problem. Efficient methods to generate time-varying system approximations ) w( ?, F7 [+ } w6 I+ @0 ?
from both measured and simulated data are proposed. Attention is also given / c8 q) P0 @( q* G* |; [" kto the vital new ideas of dynamic security assessment in real-time ' k! ?7 e: J' {; |# @implementations and the development of smart, wide-area measurement and - {# ], G: D! ^, Z# U$ t5 Ocontrol systems incorporating FACTS technologies. Application examples 6 H4 P. Q/ a7 E, _include the analysis of real data collected on grids in western North ' L$ g' q }0 @1 g( u' X, x$ S1 U7 n
America, Australia, Italy and Mexico. 5 m* f8 H/ y$ n& m+ \$ q" kInter-area Oscillations in Power Systems: A Nonlinear and Nonstationary 2 ]2 S& X2 a9 d5 ]7 }' u. G# z% M$ I
Perspective is a comprehensive, systematic account of current analysis ( J- q2 M# I7 K: P; m6 m
methods in power system oscillatory dynamics in both time and frequency / ]0 C) h2 D% p8 j5 ^domains ranging from parametric and non-parametric signal processing : M* M0 ]/ i! Xmethods, to data-driven time-series models and statistical approaches.' I& @* s" Z* [
Table of Contents 7 C, ]; o+ C; x, E0 r3 v5 t/ M* JContents4 t R/ g; A0 p1 q1 s' W7 J
/ j5 `+ W2 K m$ m9 R) h: C; G
1 Signal Processing Methods for Estimating Small-Signal Dynamic ! H9 M% ~$ W( U: wProperties from Measured Responses. . . . . . . . . . . . . . . . . . . . . : H. X& D6 D C
. . . . 1" `3 ^5 ]. A. s
Daniel Trudnowski and John Pierre" v+ O' B. k# K/ Z4 y
) Q, V: k* V3 D7 B# M7 c, b" f
% c4 @# F* q8 b6 h0 G0 t) [: z, ~0 L6 S- n4 N- L; D
: n. D9 W$ j0 Z* x# l& i
2 Enhancements to the Hilbert朒uang Transform for Application to ; d) h. t( E+ x H+ @5 P. u* D+ yPower System Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . 2 M1 k* y4 N. }) C( O
. . . . . . . . 37. l( I: b! {9 | Y+ l* {* a
Nilanjan Senroy5 S+ C# ~0 `! h3 R
, E N$ S3 f0 B+ Z) n
3 Variants of Hilbert朒uang Transform with Applications to Power7 m# x" f& l% M t( }
Systems?Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . 2 o! F! ~. Y- X H( g7 L# |4 s
. . . . . . 63; y4 i4 ?7 v! G7 `& c) e
Dina Shona Laila, Arturo Roman Messina, and Bikash Pal4 ?) A4 f9 i" p8 r1 T7 G
1 f& f! @; g! K4 Practical Application of Hilbert Transform Techniques in Identifying ' ?+ k8 f+ C8 h0 U3 sInter-area Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . . 3 r$ o2 w7 e2 K. . . . . . . . . . 101 ( {8 x- J% U, _' eT. J. Browne, V. Vittal, G.T. Heydt, and Arturo Roman Messina ; k" X* ?4 O& N" }3 f: u. T- M3 t0 @8 c* g! A: K& L
5 A Real-Time Wide-Area Controller for Mitigating Small-Signal + ^. H5 x* h& X7 f' T3 }Instability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Y; U6 a" d4 {8 R+ ]8 f+ f
. . . . . . . . . . . . . . 127: x4 Q( T" y$ R8 F
Jaime Quintero and Vaithianathan (Mani) Venkatasubramanian) ^( z) w6 r8 _
! g$ }& l+ Y. ^! _
6 Complex Empirical Orthogonal Function Analysis of Power System, l: i) @7 E4 O0 q. K) y
Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . . . . . `" k3 U& \* l7 n! x3 l, g
. . . . . . . . . . 159 # `" C, K9 f( g* q, u9 i$ t: oP. Esquivel, E. Barocio, M.A. Andrade, and F. Lezama9 `0 P0 N0 X8 }1 }# l
6 m# @8 c Y6 _. h j7 Detection and Estimation of Nonstationary Power Transients . . . . . . 189 , [/ I# A4 L6 P6 ?$ SGerard Ledwich, Ed Palmer, and Arindam Ghosh! d( V$ a C% L X
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