Inter-area Oscillations in Power Systems( n$ P6 i1 N. g! K ?$ s, F+ N# T
& ?& @% H$ M9 W [ A.R.Messina (Editor) % r, J: Z3 ^5 @4 V8 x } Centro de Investigacion 2 Y/ f; K* O; b: f9 v de Estudios Avanzados7 F! |9 Y, E3 X2 Q, n, ]4 \# |
del IPN/ A# G7 T @& M, X2 O0 d" I
Guadalajara, Mexico 6 s; G6 d f& z6 M2 ]: j * S% o$ H' K$ \' |Inter-area Oscillations in Power Systems: A Nonlinear and Nonstationary . J5 I* s+ w. P4 l9 d3 Q1 YPerspective deals with the development and application of advanced $ _3 q8 r5 c+ i/ i1 B, cmeasurement-based signal processing techniques to the study, . ^7 F y9 a# E: r& g
characterization, and control of inter-area oscillations in power systems. * J+ F8 o- E' WThe material reviews recent advances in understanding, modeling and 4 Y. N3 H4 @$ S3 [, mcontrolling system oscillations with special emphasis on the analysis and - r: v4 F0 B. t8 ~6 Wcontrol of complex time-varying (and possibly nonlinear) power system * R5 q4 ?2 j+ m2 J' i8 U: s7 O1 E
transient processes.! _9 X: ?- c" e; e# S& @! V
The book is organized into eight chapters written by leading researchers 8 K7 G$ I7 ?, N- c: q2 |; Cwho are major contributors in this field. The authors provide techniques 9 I1 N* d: c1 n: ?8 n
that explicitly address the nonlinear and nonstationary aspects of the ! z6 p2 h' y: k8 @0 [' L' Y* z( X+ rproblem. Efficient methods to generate time-varying system approximations : G5 P0 Y {8 B5 H6 B
from both measured and simulated data are proposed. Attention is also given ! U. G/ d/ ~% b9 z
to the vital new ideas of dynamic security assessment in real-time n* t+ q4 y9 E/ [implementations and the development of smart, wide-area measurement and 4 p2 T8 }- E8 ?5 U0 o
control systems incorporating FACTS technologies. Application examples 8 r7 q V- U. a1 }) t* c6 S
include the analysis of real data collected on grids in western North 3 ?) V5 v; R5 {
America, Australia, Italy and Mexico.: Q+ `7 o+ N0 ]
Inter-area Oscillations in Power Systems: A Nonlinear and Nonstationary . y. N. t. M# D3 Z! z4 _Perspective is a comprehensive, systematic account of current analysis ) O' r; d* ?- f# Z/ Q+ K) h" Q' `methods in power system oscillatory dynamics in both time and frequency ) @( @( o' h3 C t
domains ranging from parametric and non-parametric signal processing ) a M' l; ]; u k* J$ e- Bmethods, to data-driven time-series models and statistical approaches.0 D4 \6 { R: F6 m
Table of Contents 4 n+ y8 o0 Y4 f ?, nContents" j4 v- d- U" S; @$ n
1 y6 m; w w, \6 J. Z' L1 Signal Processing Methods for Estimating Small-Signal Dynamic# `8 T: c# L/ o4 I+ D
Properties from Measured Responses. . . . . . . . . . . . . . . . . . . . . 5 z+ i) l0 ?" s. . . . 1 + _5 Y: k% {$ w; I- sDaniel Trudnowski and John Pierre ; Q5 B* ^) V( }- j! p* |, U5 ?9 g+ M8 ~1 r4 D& `" D1 ^: D
9 n$ b3 m6 G; ~) r& P: S* h) K
, \& I' z) T, X- F5 I
$ p& H# m! m/ D8 Q: ~, }2 Enhancements to the Hilbert朒uang Transform for Application to# ]* z W- J7 P8 `5 n
Power System Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . . C' ^* Z* R6 x) Y. . . . . . . . 375 K6 f7 P7 A& x+ i- x. w
Nilanjan Senroy$ @- u% F$ G/ l% K
; X+ a3 \; v. }1 R6 x5 D* g8 n' q3 Variants of Hilbert朒uang Transform with Applications to Power" b0 N$ v# I2 t! v
Systems?Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . & Y7 b- X* c9 [/ M& o. [% k
. . . . . . 63 ; V' F. |- v2 r; {4 vDina Shona Laila, Arturo Roman Messina, and Bikash Pal1 ^8 ~' V" s1 q4 r* g3 e9 y
C& l4 {4 \2 G" j4 G( p& D
4 Practical Application of Hilbert Transform Techniques in Identifying ' E9 B4 K( T0 K6 q7 QInter-area Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . . 8 ~6 u9 Z, ?! w
. . . . . . . . . . 101" q6 `- F7 G. p" W# W' B
T. J. Browne, V. Vittal, G.T. Heydt, and Arturo Roman Messina / q6 J9 r4 _% _+ d: Q/ y, @9 u+ M" ?( ]+ w8 M4 }
5 A Real-Time Wide-Area Controller for Mitigating Small-Signal) L3 Q& e* @2 M( D& D8 W+ i
Instability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 u$ Z1 L8 I" o4 g6 ~5 T5 d" S
. . . . . . . . . . . . . . 127 4 _+ W9 A4 E$ m7 f5 @! ?8 d) GJaime Quintero and Vaithianathan (Mani) Venkatasubramanian , R& b8 U E/ G v3 N8 z8 s4 W$ Y5 g# q+ a: i
6 Complex Empirical Orthogonal Function Analysis of Power System 0 D; W2 v) e' C4 tOscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . . . . . ) c" W8 i; U" L! Q. . . . . . . . . . 1597 Y$ s$ k3 w$ p6 I; [
P. Esquivel, E. Barocio, M.A. Andrade, and F. Lezama$ |6 Z2 X$ q4 {2 Y2 k# F+ q: G
- ?+ A1 I3 g ^% K7 Detection and Estimation of Nonstationary Power Transients . . . . . . 189 : F3 y3 C3 y8 e$ q @ n" vGerard Ledwich, Ed Palmer, and Arindam Ghosh 6 C2 h# s: D4 W$ o: }, E8 T7 u( v2 d! j2 Y( u
8 Advanced Monitoring and Control Approaches for Enhancing Power: v. \" m- f3 `+ ?" A8 q! e# P( ~
System Security . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 J6 R% T7 k+ f0 z6 o% b; C' p. . . . . . . . . . . 2317 Y+ a# e# c( \& f: G, B( j! I
Sergio Bruno, Michele De Benedictis, and Massimo La Scala; }. N9 P) E. s9 E
Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ' x3 L% Z4 p7 L" L: f: v4 y% m
. . . . . . . . . . . . . . . . . . 2612 p* u+ m/ B9 F5 c& q" w
6 t, b# G9 h, }% ]" j# J" {. `2 g" Z 3 l* i0 k! U* S1 b& o - k8 j1 |1 w( R1 e4 A4 S* SPublisher: Springer , 233 Spring Street, New York, NY 10013 h3 b! @8 J$ F8 j; o; Z. W, C. q
<http://www.springer.com/>www.springer.com Tel 1-800-Springer5 h. y. r2 f0 `% ?
ISBN 978-0-387-89529-1 e-ISBN 978-0-387-89530-7# {' c7 M( {4 P$ h$ B! K- l& g
Series: Power Electronics and Power Systems. W( y9 L. e4 {9 t6 P
2009, 218 p., Hardcover
Inter-area Oscillations in Power Systems! h. ~5 c# @) a% l% G! V# ^
9 |$ @1 p6 F1 n V: s A.R.Messina (Editor)1 b4 v; M l; x, M9 d" J
Centro de Investigacion " o* f$ n- p3 p$ o h .../ r" H6 ]- n' O' S/ g9 ?1 m" m
seeout 发表于 2009-4-23 01:47