Inter-area Oscillations in Power Systems6 I* U( r2 p) C( ?
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A.R.Messina (Editor)& Q. H; p5 U- v: k/ ~5 W% Y9 W
Centro de Investigacion$ j; W9 {2 n3 v& f+ z/ `
de Estudios Avanzados % n4 A( M" V( {' ~2 u4 N del IPN' ^* o% j1 |' E, x, m0 F2 d+ h6 O
Guadalajara, Mexico 6 }# `/ R% I- j5 L7 C2 Q8 j ( c n% a: e! ]$ }0 j% q$ ]Inter-area Oscillations in Power Systems: A Nonlinear and Nonstationary # p+ o# N$ E* p: E o# F. |
Perspective deals with the development and application of advanced & w/ K! b6 S. r- w
measurement-based signal processing techniques to the study, 0 _$ x3 `3 f7 @4 y
characterization, and control of inter-area oscillations in power systems. / D1 H/ ]) O. B$ z6 F7 E* o
The material reviews recent advances in understanding, modeling and * N# K/ Y7 b+ L; [9 [& Mcontrolling system oscillations with special emphasis on the analysis and / Y. A4 {2 M7 n7 |control of complex time-varying (and possibly nonlinear) power system 9 i- Q8 A6 ~) f" V' U* }# _9 e
transient processes.1 @1 ~' W* a( H @7 a; d) I
The book is organized into eight chapters written by leading researchers 9 h: O; b% ^/ d/ w
who are major contributors in this field. The authors provide techniques & X# |( E7 @+ L+ B/ Gthat explicitly address the nonlinear and nonstationary aspects of the , Q% \8 t h0 h% l- E: @( M9 c
problem. Efficient methods to generate time-varying system approximations " v. M1 ^# }% }- k0 Q5 {- _
from both measured and simulated data are proposed. Attention is also given ( ?, Z7 }' Q, B9 Z* g( W# }to the vital new ideas of dynamic security assessment in real-time 0 H4 l: k3 \4 @- [3 nimplementations and the development of smart, wide-area measurement and " N% G- F, q; o, A! G% T
control systems incorporating FACTS technologies. Application examples - B+ n. f' D) H) z# `% A2 ~, hinclude the analysis of real data collected on grids in western North ; A5 z& \4 `5 h8 w! R5 n+ N9 [$ wAmerica, Australia, Italy and Mexico. 7 x# c- z- X: b5 }Inter-area Oscillations in Power Systems: A Nonlinear and Nonstationary " q# q! F1 v1 P; `
Perspective is a comprehensive, systematic account of current analysis # T$ v) M- W, C, M" ~" U' z. smethods in power system oscillatory dynamics in both time and frequency 1 H2 z0 ]' r$ m: l* i* L
domains ranging from parametric and non-parametric signal processing & c* j6 B: v1 |) T: rmethods, to data-driven time-series models and statistical approaches. 4 Z: E9 ^* Q$ i) I Table of Contents/ O1 e: t" z* h( U9 U( a
Contents& A8 o- V5 H5 K, a) f
+ J3 s; R. j8 H' S1 U, [1 Signal Processing Methods for Estimating Small-Signal Dynamic 6 z5 t0 \3 i# t ^- P' U( |4 t" r; IProperties from Measured Responses. . . . . . . . . . . . . . . . . . . . . , I! o: C n' |7 ^: l$ o, y$ \. . . . 1. \8 \$ s* p: ]( E
Daniel Trudnowski and John Pierre # }) b. x: M1 u7 {! t$ j! s4 k) c8 `4 F. c- |
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9 r/ d/ }& S5 R. Q# j, i. o# q! q1 W1 m 0 w' f" e e* g& \/ i8 |9 B2 Enhancements to the Hilbert朒uang Transform for Application to 4 y+ L" {( t; H: Y$ Z5 g }6 j% S8 x# A" CPower System Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . 2 {0 G5 ]! q' V! Q" F6 z
. . . . . . . . 37$ G' `; k- }1 A$ M# r
Nilanjan Senroy 4 Q4 \5 w, ]6 R2 u1 z 9 w5 ]8 {) P, O9 ~" V3 Variants of Hilbert朒uang Transform with Applications to Power , s% g5 L( @# m. z) J, |Systems?Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . . s- C+ i6 y$ U& R3 B' l1 Z7 b6 J. . . . . . 63, r* ]# {, I/ L m
Dina Shona Laila, Arturo Roman Messina, and Bikash Pal/ x& b/ }0 d8 A% Y( y0 R
0 F ~, B8 x9 j! F4 Practical Application of Hilbert Transform Techniques in Identifying) D8 ?9 v& u; r: u
Inter-area Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . . 5 A( M4 p+ T/ D+ W6 A9 u- G8 o
. . . . . . . . . . 101/ k$ i& |' D7 ?( c N
T. J. Browne, V. Vittal, G.T. Heydt, and Arturo Roman Messina ; \+ x6 P6 c* O: A# }' l $ G9 L/ l! |- J) O C5 A Real-Time Wide-Area Controller for Mitigating Small-Signal, E \& \* i3 \8 t' r3 ]# t; I @
Instability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ) @1 |6 @, B0 U" J
. . . . . . . . . . . . . . 127 7 p* {5 q' O8 ?' L+ b4 e2 ~Jaime Quintero and Vaithianathan (Mani) Venkatasubramanian ; r/ C4 g, I- T& E+ p: Q ; l" F& ?1 O1 W' o1 o4 w( K6 Complex Empirical Orthogonal Function Analysis of Power System 9 j; R" E0 t; l. aOscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 M9 C6 a* l2 e% e$ |
. . . . . . . . . . 159 2 H1 ~8 F4 _: p5 d" L# s" mP. Esquivel, E. Barocio, M.A. Andrade, and F. Lezama . l+ M( R" r1 ]8 N( v4 ]& ~: N4 K1 L$ q0 `$ K5 N
7 Detection and Estimation of Nonstationary Power Transients . . . . . . 189! z& j) }' ]% o0 K
Gerard Ledwich, Ed Palmer, and Arindam Ghosh; H3 @# o1 g9 v5 k; [% e
Inter-area Oscillations in Power Systems) x4 {6 T3 r# o
1 H0 Q- V' m h4 X" w y4 Z3 r A.R.Messina (Editor) & g) G8 m# J4 x( {2 z Centro de Investigacion! h6 _& x" S, @! C
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seeout 发表于 2009-4-23 01:47