Inter-area Oscillations in Power Systems' f9 r7 P# V( |4 C# t
; V+ T- D/ t" v/ m; v A.R.Messina (Editor) , I# @8 a; H, p6 g Centro de Investigacion 7 l2 J ~0 r X: f5 E0 g( R& _" E1 L de Estudios Avanzados6 h8 v! e9 ~) g( b
del IPN4 C7 ?; w- ?3 F5 ~/ t1 y4 W2 ~& _
Guadalajara, Mexico! I+ h- n/ E1 B' [; K* w
9 K9 A% z% s8 _" G9 _' aInter-area Oscillations in Power Systems: A Nonlinear and Nonstationary {1 S. m7 w- g( GPerspective deals with the development and application of advanced ( | V6 X' e$ g0 p' X
measurement-based signal processing techniques to the study, & W, c8 n( J% W% E
characterization, and control of inter-area oscillations in power systems. ! C0 A( l! Q* @9 gThe material reviews recent advances in understanding, modeling and 6 |1 m7 X3 f6 x, O+ k# hcontrolling system oscillations with special emphasis on the analysis and , k# A) d% J) z5 v2 Vcontrol of complex time-varying (and possibly nonlinear) power system 3 q U1 y+ B0 T: v% u5 a
transient processes. , }3 n/ ?' x, m4 YThe book is organized into eight chapters written by leading researchers 5 D4 A: v1 b& l2 R
who are major contributors in this field. The authors provide techniques 9 R! C, L0 _; x t! m/ H8 U
that explicitly address the nonlinear and nonstationary aspects of the * B, |& r3 u: e8 b) K3 d, `$ Z# Yproblem. Efficient methods to generate time-varying system approximations & O- i5 Q5 e; z) w* ?# Y7 W5 `from both measured and simulated data are proposed. Attention is also given * b Q- ?" d( V! q( z' Kto the vital new ideas of dynamic security assessment in real-time 4 a3 Y, X& x' W3 J; Mimplementations and the development of smart, wide-area measurement and * }. L/ M2 F- Jcontrol systems incorporating FACTS technologies. Application examples ; Z* R. Z9 h6 Y4 y% `) d& q
include the analysis of real data collected on grids in western North 0 n% F3 m" r" G2 ?3 ?8 y/ r
America, Australia, Italy and Mexico.1 n3 l+ V1 O8 l
Inter-area Oscillations in Power Systems: A Nonlinear and Nonstationary 0 N2 u5 v. d/ t6 j6 v$ r9 _. v8 @
Perspective is a comprehensive, systematic account of current analysis ' t' {& G& U9 c6 ~: X' \
methods in power system oscillatory dynamics in both time and frequency ' u* ]( s+ a8 g4 y! c; B
domains ranging from parametric and non-parametric signal processing 9 ~1 h2 V' ]! X" B+ D: R- M
methods, to data-driven time-series models and statistical approaches. $ T$ m/ p* c0 ]- w5 A6 b Table of Contents/ a: M7 W" g# ^2 N
Contents7 i- y( q1 s0 Q6 r0 p- @! ]6 n; `
9 v$ }# p/ ]. ]3 z& B0 _
1 Signal Processing Methods for Estimating Small-Signal Dynamic $ d% B3 |- _0 ]; o3 g& O8 C; {Properties from Measured Responses. . . . . . . . . . . . . . . . . . . . . , y& A) X9 s/ q% w4 c; o
. . . . 1 7 y! U3 D& j/ y" a5 VDaniel Trudnowski and John Pierre / a+ } @! k8 ^/ Z$ w0 c( I& I5 m, u( L! I/ i k* Z
- t6 g6 c2 F, ^, K7 t$ H+ s% f
7 U% [0 R/ r8 T; K- m
$ I7 L, k. W) t% K
2 Enhancements to the Hilbert朒uang Transform for Application to ; h+ d) Q( A F% `* E! ^Power System Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . , x8 n/ h9 X2 a$ c& u, L* u. . . . . . . . 37 , M, Q9 z8 V) ^' G4 O: \& n4 _Nilanjan Senroy. o2 b2 k. }+ g6 ^1 x6 w, o+ G
+ b9 z" s4 w3 i6 c3 Variants of Hilbert朒uang Transform with Applications to Power |. v( s8 p- T& u! e* n2 k! ZSystems?Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . " t. _: U7 H: _. . . . . . 635 U4 v! e: W' Z6 E6 k7 W( ?
Dina Shona Laila, Arturo Roman Messina, and Bikash Pal0 f' p- k2 ]- ^- R W
Inter-area Oscillations in Power Systems ( Y% M- y! @0 v' M $ j9 {7 x- |7 ~+ H A.R.Messina (Editor) ; G3 I& E5 c9 j' f1 \- P# K4 C Centro de Investigacion, G0 G) ?& X6 q7 X6 F. ]
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