Inter-area Oscillations in Power Systems + K0 \ k4 I& f, \+ f0 D " p1 ~$ T v: D' l A.R.Messina (Editor)5 v9 k5 k# h2 w8 p; X4 |
Centro de Investigacion $ J( ^! S, p: e3 y* @/ M de Estudios Avanzados0 B( I$ B1 o0 x O! C7 w/ \( b1 f6 `- A
del IPN 1 p& f6 C0 N' o# E Guadalajara, Mexico% |. ], X# b/ P0 @
; F' l. c8 K. n* Q5 L* oInter-area Oscillations in Power Systems: A Nonlinear and Nonstationary ) ~$ y8 o3 O! U; oPerspective deals with the development and application of advanced 7 X* d/ d$ u( o, ?measurement-based signal processing techniques to the study, + }( y5 S$ v* Jcharacterization, and control of inter-area oscillations in power systems. 7 x3 N% C3 R% I5 [) Z
The material reviews recent advances in understanding, modeling and 1 M5 ^% X% ^/ }2 S
controlling system oscillations with special emphasis on the analysis and ( L: l, p* t. |; c2 ?- icontrol of complex time-varying (and possibly nonlinear) power system 5 K1 h% R) U( ?0 a5 {9 e' Ftransient processes. ; f! W3 x1 ?3 J. q: Z, E3 gThe book is organized into eight chapters written by leading researchers 5 C4 r T0 Y, t+ h- Wwho are major contributors in this field. The authors provide techniques & |8 C3 I# i c& V8 w
that explicitly address the nonlinear and nonstationary aspects of the * a! \' y6 B& P0 W+ d. Tproblem. Efficient methods to generate time-varying system approximations # l ?$ H5 {3 r' @) G) @from both measured and simulated data are proposed. Attention is also given 3 I7 K0 L( L* Z' M$ _. c
to the vital new ideas of dynamic security assessment in real-time % g7 ] X. ]8 a3 e* z5 _" v4 i; k
implementations and the development of smart, wide-area measurement and ; q& {" i( z6 [& X: Mcontrol systems incorporating FACTS technologies. Application examples * V) Y, f$ S" M# u w. w% v! B
include the analysis of real data collected on grids in western North / r. D) d$ A! @& q! J4 ]
America, Australia, Italy and Mexico.( M0 {: ?# ~' v) F/ ^- }4 w+ c* ?
Inter-area Oscillations in Power Systems: A Nonlinear and Nonstationary , Q- C) S' @) Y7 cPerspective is a comprehensive, systematic account of current analysis 7 C3 R4 |3 x* }8 h
methods in power system oscillatory dynamics in both time and frequency - x3 }$ n9 N0 B6 W+ U" t7 _domains ranging from parametric and non-parametric signal processing 5 D+ F4 ?! K3 B9 b
methods, to data-driven time-series models and statistical approaches.6 y+ ]5 Z. J6 E! l5 g# u' m
Table of Contents & D: Y) s) h: w5 K; rContents0 {' l# [$ O2 |% E
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1 Signal Processing Methods for Estimating Small-Signal Dynamic ) b0 P# n' V9 _& |Properties from Measured Responses. . . . . . . . . . . . . . . . . . . . . , W+ B% a0 Y- w9 F4 q
. . . . 1 $ n0 v4 i6 i9 W4 P& S4 ^1 wDaniel Trudnowski and John Pierre% K- }. o+ w; q4 X
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2 Enhancements to the Hilbert朒uang Transform for Application to% v/ F ^% u# e+ b$ e5 ~: Y
Power System Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . ' _/ d' }. {; Z6 R- d
. . . . . . . . 375 s3 H! ~4 e2 t
Nilanjan Senroy 2 Q t+ Z$ c2 [9 Z+ [/ m) D0 j* s* k4 N! g1 K3 m+ ~. z' ^
3 Variants of Hilbert朒uang Transform with Applications to Power & l. X; N. G8 A% Q" k' e8 TSystems?Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . . d' L3 i8 F, f3 n) s. . . . . . 63/ H7 r% K0 g a
Dina Shona Laila, Arturo Roman Messina, and Bikash Pal, E6 {) i$ O6 g+ x
! T6 ]* ^6 t5 _% `& U$ d! w4 Practical Application of Hilbert Transform Techniques in Identifying' R8 t4 T" b7 q1 E2 U0 R
Inter-area Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . . / m2 E$ c& C0 e, z0 Q4 O. . . . . . . . . . 1019 d6 E& v; y/ }
T. J. Browne, V. Vittal, G.T. Heydt, and Arturo Roman Messina; k& k, e8 `) f+ m2 {% c0 F
Inter-area Oscillations in Power Systems % M& R+ Z, T; G" P/ |+ ?+ R' i, l" \6 y0 ?, w$ O0 m
A.R.Messina (Editor)% F7 T- O! v* G. R8 i+ z
Centro de Investigacion , C' d3 o, `9 R9 O, b2 s ... ; q/ w: m- Q' }- [0 Jseeout 发表于 2009-4-23 01:47