Inter-area Oscillations in Power Systems " _" o( m: z) v2 e% z* \) z8 _2 w1 T& H, L2 M
A.R.Messina (Editor) : i6 i) e3 {' W# f+ \1 I Centro de Investigacion! N" L2 _" j; n! Q
de Estudios Avanzados J+ Y6 \9 e8 G8 Y0 t& x# M del IPN + Q. D; s a! n' x/ p: a! X Guadalajara, Mexico 9 j8 a5 ], ^/ H6 X1 ]0 Q) h+ N& A! [9 S- l* Q$ ^
Inter-area Oscillations in Power Systems: A Nonlinear and Nonstationary : P. [* C9 p4 I, J
Perspective deals with the development and application of advanced * O' y& o% |" i) [3 M
measurement-based signal processing techniques to the study, F% V! }3 Q# r4 y2 Ycharacterization, and control of inter-area oscillations in power systems. $ s, F2 D: C% f: F ^5 p5 X% aThe material reviews recent advances in understanding, modeling and ; t, j9 h% t8 n/ @
controlling system oscillations with special emphasis on the analysis and 6 F% D4 c, G- ~, q! L) ^4 t0 g$ Y; o* o
control of complex time-varying (and possibly nonlinear) power system 0 P0 f* l- a% F4 `
transient processes.; H/ ?& L' M! r1 u* Q
The book is organized into eight chapters written by leading researchers * X% ?5 O' o2 s. q9 P( {+ K) S
who are major contributors in this field. The authors provide techniques 4 O# D; S( m! f$ J
that explicitly address the nonlinear and nonstationary aspects of the 3 u$ \( E0 ]2 Z V' y
problem. Efficient methods to generate time-varying system approximations * v+ P; J# L, C6 tfrom both measured and simulated data are proposed. Attention is also given ' _; I$ d8 p5 V* ?to the vital new ideas of dynamic security assessment in real-time # S7 ^; B0 Y$ q& Nimplementations and the development of smart, wide-area measurement and 5 A: l; K8 Y( [# |1 ^ B
control systems incorporating FACTS technologies. Application examples 8 r M: b1 X" ^/ N& U' l
include the analysis of real data collected on grids in western North & U' `! M% N% J% b Z! b
America, Australia, Italy and Mexico. 5 d' {- x# ~! J4 k; mInter-area Oscillations in Power Systems: A Nonlinear and Nonstationary * Q2 N5 D1 y( n7 F1 }6 L; r
Perspective is a comprehensive, systematic account of current analysis 7 R3 Z! a* E- U0 m6 |) Z9 G) V& jmethods in power system oscillatory dynamics in both time and frequency 0 p: V( R- `& U9 d6 y8 Q
domains ranging from parametric and non-parametric signal processing / Q! m* ^1 r/ m5 B$ Vmethods, to data-driven time-series models and statistical approaches.3 Y8 x$ ^7 T6 G0 k+ U& A2 R
Table of Contents 9 h4 N! X& d( h5 fContents. e% @9 y; Z0 W" P9 K/ |
: }1 L( O, M }: O* P. o1 Signal Processing Methods for Estimating Small-Signal Dynamic 5 C* c9 Y$ Y- h1 ~) |Properties from Measured Responses. . . . . . . . . . . . . . . . . . . . . : T! M7 E3 _0 q, D) R% Z
. . . . 1; [& q8 y+ I/ \9 Y/ P% Z: ^
Daniel Trudnowski and John Pierre0 K+ M' b. a2 t# M, V% v. Y- L
: a# K: h( y8 m! ~
; [- H, K% |2 t* f9 G/ t* J+ y, }6 A _* c9 I
1 v# M: u/ _$ c2 Enhancements to the Hilbert朒uang Transform for Application to , @* h7 d$ p; O1 {- U+ S0 U/ s" ~Power System Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . , v- q0 `/ Y1 d( Z. . . . . . . . 37) i4 X' }- N9 v: b& e9 k7 r# b
Nilanjan Senroy ! W9 l6 f- o r$ `0 z- H$ q X0 h! n* D/ U# S6 f
3 Variants of Hilbert朒uang Transform with Applications to Power8 S8 ^, V Q9 ^5 q
Systems?Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . 5 u) B8 H; x4 H! p6 j. m: [( {6 w2 l8 i
. . . . . . 63 ; k3 Y3 a+ y+ y7 O: uDina Shona Laila, Arturo Roman Messina, and Bikash Pal+ r0 U4 m2 r& M2 O
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