Inter-area Oscillations in Power Systems }- f p# Y5 R! n5 \
/ F4 h3 q3 _7 D' A4 p) q
A.R.Messina (Editor) ! w# i+ K/ f' J Centro de Investigacion 2 Z' B+ o! P& h" p de Estudios Avanzados " W8 w- F, g. H% w% L0 n del IPN4 S3 ]6 Q2 f: E) G8 G, r3 |- J
Guadalajara, Mexico / c' q5 D# g. A# ?6 V2 \7 i * L% {9 _9 E0 Q) \) eInter-area Oscillations in Power Systems: A Nonlinear and Nonstationary P& P1 W, T7 q, [2 q- U- v- w! s
Perspective deals with the development and application of advanced $ @: y' x: h! T2 Omeasurement-based signal processing techniques to the study, $ v7 ^- H; i7 Qcharacterization, and control of inter-area oscillations in power systems. 8 W7 `& l8 ]+ u( [% B6 c4 j+ M* gThe material reviews recent advances in understanding, modeling and : s4 E" _5 L5 Z# \+ R
controlling system oscillations with special emphasis on the analysis and " \8 T, m: b7 F7 M
control of complex time-varying (and possibly nonlinear) power system , M; b! A$ C% Y, }
transient processes.9 ~3 ~6 Q) d* i1 O3 j
The book is organized into eight chapters written by leading researchers # M: R8 L: B3 f P0 n& i# }( cwho are major contributors in this field. The authors provide techniques 4 m$ b6 M% S4 e$ J$ K
that explicitly address the nonlinear and nonstationary aspects of the / a0 k. |2 W. ?6 V4 uproblem. Efficient methods to generate time-varying system approximations 2 W2 Q! H- k; h9 Hfrom both measured and simulated data are proposed. Attention is also given ( x. P# T3 E9 V' ~" Q9 x1 v
to the vital new ideas of dynamic security assessment in real-time 6 s* g$ t* m' c& }! d' nimplementations and the development of smart, wide-area measurement and 0 W, `# G! Y _; m) g) \control systems incorporating FACTS technologies. Application examples , R- V0 T `: w7 D; M" t
include the analysis of real data collected on grids in western North 3 w, p: W/ \( C i* ]* B
America, Australia, Italy and Mexico.7 S$ k' y/ p! ^
Inter-area Oscillations in Power Systems: A Nonlinear and Nonstationary $ O; b% ^+ S5 q) r# A7 fPerspective is a comprehensive, systematic account of current analysis 3 N0 z/ t# C# z/ t
methods in power system oscillatory dynamics in both time and frequency ( H5 W+ h0 N# Z, D7 bdomains ranging from parametric and non-parametric signal processing - q: W% j+ S( t8 d& u- Rmethods, to data-driven time-series models and statistical approaches. 3 A; G0 g! z4 @5 n- `) F6 c. } Table of Contents 4 C1 i* J- j$ l; K/ D& Y( F% TContents- Q1 d$ c4 k) |/ ?$ o( o( D
0 M5 C7 v. f6 A8 g o
1 Signal Processing Methods for Estimating Small-Signal Dynamic 0 f5 I! d6 C5 t; g8 O! [Properties from Measured Responses. . . . . . . . . . . . . . . . . . . . . 2 M0 M! v* N! P7 r1 k. . . . 1% C1 k5 o/ ]2 S s
Daniel Trudnowski and John Pierre" u2 R) A0 l. k& \* L" L+ i$ ~
9 a, U% |+ L5 I, N0 g! f0 `3 K
- r( f' u* S' b# T * u" P. g: a! u" R$ e / P: |8 v+ K: ~: w- |8 c5 t2 Enhancements to the Hilbert朒uang Transform for Application to( v: J, J% e/ S
Power System Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . # U/ Y( A' g7 l. q) B5 r! ]
. . . . . . . . 37 3 T, y0 U9 H1 Z8 V8 _( p/ C8 JNilanjan Senroy 8 A' v8 \; _) o, N: F- F 6 P6 e. x5 j5 ?5 y3 Variants of Hilbert朒uang Transform with Applications to Power % q+ [2 m2 |8 w7 N0 U" o/ N) pSystems?Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . " f( t% q W' p L9 y. . . . . . 63( V2 ?8 _/ m% I b
Dina Shona Laila, Arturo Roman Messina, and Bikash Pal% Z/ x3 P9 ]. d& y% m
0 f3 q" b4 }3 s
4 Practical Application of Hilbert Transform Techniques in Identifying: x% G, f2 g x o, a
Inter-area Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . . ; k2 @/ w1 X1 l/ M1 z; H! ~5 P$ w" D
. . . . . . . . . . 101 8 \: d8 [" y' ~. ?2 kT. J. Browne, V. Vittal, G.T. Heydt, and Arturo Roman Messina' B8 N6 L. Q3 D. r4 [
# k$ {0 D K" \- r% r- `8 b5 A Real-Time Wide-Area Controller for Mitigating Small-Signal1 @& d. i! Z4 s+ O j; p6 O
Instability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ! X+ C1 |% {8 {/ C. . . . . . . . . . . . . . 127 2 k# I! u! a! e7 ]Jaime Quintero and Vaithianathan (Mani) Venkatasubramanian * i/ f- h, Q8 l7 i' Q( P4 W$ e* }* r
6 Complex Empirical Orthogonal Function Analysis of Power System % z" B' y1 ?( Z: g ?3 N0 KOscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 L2 A$ N* R* ^- _% g: P3 s, v. . . . . . . . . . 159+ N% p+ F+ o3 z( E' O2 U ]- o* h8 F
P. Esquivel, E. Barocio, M.A. Andrade, and F. Lezama & S, x9 }5 u+ n: t0 j4 V- z& @! i/ F! c V) S6 U& _% {
7 Detection and Estimation of Nonstationary Power Transients . . . . . . 189 $ T3 Q: r' X/ G0 iGerard Ledwich, Ed Palmer, and Arindam Ghosh y8 T$ Y$ y8 f% E2 n* U9 F! |9 d3 p# @; K8 r8 @6 Q1 R) q. ?% Y+ z
8 Advanced Monitoring and Control Approaches for Enhancing Power 6 V6 x' l" r: [System Security . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . : j/ j! s* ^( e" Z4 z
. . . . . . . . . . . 231 % v& R5 H( P1 H( bSergio Bruno, Michele De Benedictis, and Massimo La Scala( @# \' `" I2 G
Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . , @9 a" k/ u) ]1 R* n1 z
. . . . . . . . . . . . . . . . . . 261$ @9 h# I5 ~+ U: ?6 w
3 O( B/ s7 R* u8 l4 m! y: X0 Z
' n) F* }6 N/ S+ r9 A) H1 C- r 7 ?! p& ^8 c' Q. X% @Publisher: Springer , 233 Spring Street, New York, NY 100139 z0 P: {6 A9 c" U0 R" b2 b% P
<http://www.springer.com/>www.springer.com Tel 1-800-Springer2 P: o2 v2 m% t. U- B" z
ISBN 978-0-387-89529-1 e-ISBN 978-0-387-89530-7 + s2 M* J2 F0 J) h4 G" W# }3 s( tSeries: Power Electronics and Power Systems 5 z, k3 Y" U: Q, U; P$ z8 T2009, 218 p., Hardcover
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
: T! }( B) v( a1 n& [
发表于 2009-5-5 20:26:22