Inter-area Oscillations in Power Systems6 f+ x! R. C) Q4 }& P. y2 _
/ w+ M$ I/ @( {: _ A.R.Messina (Editor) ( @, L& r% v7 l+ S- U- G& e Centro de Investigacion 3 v# u1 m6 S5 @' D q de Estudios Avanzados X$ G0 {6 E2 N0 U0 N0 t- g3 ]" G del IPN 4 B% W) _* V, O Guadalajara, Mexico $ L+ V; x: N1 M8 [! d/ J9 p) p - v- g+ j' a7 `+ ]9 I: iInter-area Oscillations in Power Systems: A Nonlinear and Nonstationary 7 V1 C3 D! R( H6 T3 `7 C* Z# @
Perspective deals with the development and application of advanced ( p! L) x1 \6 s+ T- u
measurement-based signal processing techniques to the study, - y& S1 i' Q$ R9 t. W, S; S2 |$ X" kcharacterization, and control of inter-area oscillations in power systems. # e( ]/ M, m+ C7 z8 fThe material reviews recent advances in understanding, modeling and / |" p9 w' O& n# j( g; u) G) V
controlling system oscillations with special emphasis on the analysis and 8 f9 p! L# ?# \8 O
control of complex time-varying (and possibly nonlinear) power system ; L4 K) k8 u: b& Q: G' h
transient processes. 8 x7 q- b/ r; X4 AThe book is organized into eight chapters written by leading researchers $ {) ?. H% Z& {# J9 hwho are major contributors in this field. The authors provide techniques 3 ]" z: P {& U1 ^( O% A/ |
that explicitly address the nonlinear and nonstationary aspects of the ; l8 B: @# Q3 r9 o. `7 q5 X
problem. Efficient methods to generate time-varying system approximations - D( x8 k' K! u7 N4 y+ u" yfrom both measured and simulated data are proposed. Attention is also given G7 s% Z. G& y4 bto the vital new ideas of dynamic security assessment in real-time . J, {- j9 e0 E2 F" ^0 Dimplementations and the development of smart, wide-area measurement and 7 c0 p9 s# D2 L/ D
control systems incorporating FACTS technologies. Application examples 1 t2 D- ` Y" i& f0 a) ^+ xinclude the analysis of real data collected on grids in western North ( J( a. {8 {" _7 WAmerica, Australia, Italy and Mexico./ `. o* @+ U; N4 K
Inter-area Oscillations in Power Systems: A Nonlinear and Nonstationary - E, A* t0 \2 p
Perspective is a comprehensive, systematic account of current analysis , U4 w% w( i: [: J0 {- }
methods in power system oscillatory dynamics in both time and frequency 5 H$ ^ P% o8 \; R$ |
domains ranging from parametric and non-parametric signal processing 8 s( s$ ~' I% `+ Z9 q7 vmethods, to data-driven time-series models and statistical approaches. 2 W- T8 R0 |3 t6 f+ o, ] Table of Contents( v6 d* Z) J2 T6 i) |. G- C0 N
Contents" ?. Y2 F# y9 P7 G) b: w2 \
7 t& Q+ }/ L% p. U3 n/ b+ U
1 Signal Processing Methods for Estimating Small-Signal Dynamic5 t5 ^5 j, v) V' Y9 n1 Y1 p) T
Properties from Measured Responses. . . . . . . . . . . . . . . . . . . . . ~4 m4 F4 h) y! Z) N
. . . . 1 , n/ _' r, @# N7 m5 z9 cDaniel Trudnowski and John Pierre: N" i7 O* b- @) a( A
/ H6 q( C/ K/ g7 }" E
6 y7 H' c8 [; V5 c) V6 R8 L' E9 z u* C
2 l$ m" i/ {# K3 Z D& B1 }: ?
2 Enhancements to the Hilbert朒uang Transform for Application to0 W) V4 E$ N, T, G; r/ f2 b, b
Power System Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . 2 N! Y; l7 R* T! o* w
. . . . . . . . 37( K0 ]+ H9 D1 r+ {
Nilanjan Senroy 0 l6 P5 a9 A9 j* p% x' c3 Q; U f! t, X2 T
3 Variants of Hilbert朒uang Transform with Applications to Power |. x, [; s8 y. |( i5 T+ dSystems?Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . ) N0 z0 k# x; s0 K' ]0 |. . . . . . 63 5 B' l, h6 x+ l9 Z+ @# O# f! uDina Shona Laila, Arturo Roman Messina, and Bikash Pal + C$ L% a2 z2 J3 p4 O, J5 h' q# w" u' A- c
4 Practical Application of Hilbert Transform Techniques in Identifying- i$ R1 m' D' A) ~. ~8 j
Inter-area Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . . 9 |/ K8 y( S* {$ M" ^3 ~$ r t
. . . . . . . . . . 101 R# M( s) t/ s. v1 cT. J. Browne, V. Vittal, G.T. Heydt, and Arturo Roman Messina 3 o3 R# d) @- ~4 K0 r 5 F& m5 V$ k8 k5 A Real-Time Wide-Area Controller for Mitigating Small-Signal : A% j# i# @3 ]( x: g VInstability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . * r3 @: f) ^/ J5 m) O! }, y. . . . . . . . . . . . . . 127. V- v- P6 t1 v, T& }
Jaime Quintero and Vaithianathan (Mani) Venkatasubramanian' q+ c" J/ S3 m9 {+ t
1 Z% R! ?. M8 z+ H% K6 Complex Empirical Orthogonal Function Analysis of Power System# }$ p# |$ h+ ~
Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . . . . . 0 Q9 I- E: I8 X+ _+ @. . . . . . . . . . 159 Z0 ^: ~9 N) B# }. b5 [7 _) Y3 }P. Esquivel, E. Barocio, M.A. Andrade, and F. Lezama ! B* D/ o$ k' d G n) v9 s+ Z$ c% s% p3 r( I, F# n6 H' P) O
7 Detection and Estimation of Nonstationary Power Transients . . . . . . 189 ' W2 W2 T5 d* H( h( a( T3 H$ eGerard Ledwich, Ed Palmer, and Arindam Ghosh # G8 L' J8 C/ N2 E8 \9 b' N ( ~$ a/ X( W1 v2 r+ l' T8 Advanced Monitoring and Control Approaches for Enhancing Power * \% q e* @9 y3 J- D" ~System Security . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 X; w# q9 x3 B4 g9 X
. . . . . . . . . . . 231- q& Y# @, `1 Z) u5 q0 d" n
Sergio Bruno, Michele De Benedictis, and Massimo La Scala 6 [* X2 V( z1 Q# [Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 \) G5 Z2 O, J( X0 F. . . . . . . . . . . . . . . . . . 261( Q/ T# h/ V6 I% c- x7 Q/ W9 S% j
! V: ] ]/ i- f" D6 f- x a9 X! Q0 A$ e: m5 m/ x1 z
8 V8 l* k2 y. q, R3 k' nPublisher: Springer , 233 Spring Street, New York, NY 100132 X4 b$ H5 X8 ^! x8 U
<http://www.springer.com/>www.springer.com Tel 1-800-Springer & A5 Q8 G! T) k U6 t: H1 R8 WISBN 978-0-387-89529-1 e-ISBN 978-0-387-89530-7 + m C C* m; D: }0 L# ySeries: Power Electronics and Power Systems' p% x' F1 R+ ?+ Y
2009, 218 p., Hardcover
Inter-area Oscillations in Power Systems ) t0 }1 [0 y; w8 i8 G: y5 I" S$ A/ ?$ Z- M7 s
A.R.Messina (Editor)9 }* H" J2 h4 x% D
Centro de Investigacion! D p8 m0 l3 B6 ~- l. E7 G
...& u1 y6 T5 b6 Q/ U
seeout 发表于 2009-4-23 01:47
赣公网安备36040302000210号 )|网站地图
狗仔卡
发表于 2009-4-23 01:47:09
提升卡
置顶卡
沉默卡
喧嚣卡
变色卡
显身卡
发表于 2009-5-5 20:26:22