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Inter-area Oscillations in Power Systems3 g1 \3 u* D Y/ c8 J: t% r
' w0 k$ l( Y6 m. @ A.R.Messina (Editor)
+ M% ~6 C5 y9 s: c: z- m Centro de Investigacion0 v0 b1 p1 Y Y9 ~
de Estudios Avanzados% m$ A4 X; Z6 }6 M$ y6 Z! l6 ^& _& K' m
del IPN
' |5 u; T; z0 p' D2 {. Z" w Guadalajara, Mexico
. s# U. }+ k+ e* L9 { u6 X% d, W( d5 f
Inter-area Oscillations in Power Systems: A Nonlinear and Nonstationary
# ]7 A# V/ C$ S* [1 K4 NPerspective deals with the development and application of advanced
! p5 \- X3 r% y( \+ C. f: j/ I2 P- fmeasurement-based signal processing techniques to the study,
* T) ?2 O4 X; rcharacterization, and control of inter-area oscillations in power systems.
. o$ V5 |* u0 gThe material reviews recent advances in understanding, modeling and
- b2 K% D3 t- k$ c, T3 f! Y7 [' Scontrolling system oscillations with special emphasis on the analysis and / \8 L& z2 u$ c& Z
control of complex time-varying (and possibly nonlinear) power system
: J! v( P t* v) {6 ftransient processes.
" \8 n' U$ _3 e! B! j# BThe book is organized into eight chapters written by leading researchers : K4 u8 l! O, ]
who are major contributors in this field. The authors provide techniques
) Z# b9 o1 X/ ^% `0 B+ _that explicitly address the nonlinear and nonstationary aspects of the 7 E* v# f) L" D6 R2 M2 |) \/ Z
problem. Efficient methods to generate time-varying system approximations
6 F/ k& E0 g4 Xfrom both measured and simulated data are proposed. Attention is also given 4 z, G) V& `- l1 e
to the vital new ideas of dynamic security assessment in real-time : o( b6 I; n- m& B" }+ Z* \3 H( e
implementations and the development of smart, wide-area measurement and 2 x& K4 T$ }, o& W9 h# H% X% c
control systems incorporating FACTS technologies. Application examples ' f( y) X& C" h! Z& U
include the analysis of real data collected on grids in western North / y- L. ^' q" E" j3 N# D% C# m
America, Australia, Italy and Mexico.
- ?0 I+ [6 B. L& T( m1 H8 `Inter-area Oscillations in Power Systems: A Nonlinear and Nonstationary
$ L2 R8 Y$ P: n0 i: H( A' b9 IPerspective is a comprehensive, systematic account of current analysis / P4 n, ?1 S2 T: t
methods in power system oscillatory dynamics in both time and frequency
0 b# x% v& d. @) \, }domains ranging from parametric and non-parametric signal processing 0 e; G7 _% z' X8 d6 Z
methods, to data-driven time-series models and statistical approaches.
1 h/ O3 q6 a7 O7 ^0 ]) c Table of Contents+ I( Y( b* `3 h7 Z% M
Contents( s! p+ o: t1 [. b8 Y3 d! X, x, P
0 @. Q# ~- [" H9 d8 ^2 S, i( u2 o) Y
1 Signal Processing Methods for Estimating Small-Signal Dynamic+ t8 g3 P x: g# S
Properties from Measured Responses. . . . . . . . . . . . . . . . . . . . . 1 x/ G B4 R2 x1 T7 ~6 j
. . . . 1
( p7 ~+ X" m$ T5 p; }; v* H5 z; \! IDaniel Trudnowski and John Pierre
- F3 F7 B$ c: B }( W# d' D; q* S# i6 Q6 [: u
7 T F) \2 a7 D% S( i
; w i l4 B2 I! M3 A- i6 a
( J R6 g5 R4 G* @9 s0 |/ v
2 Enhancements to the Hilbert朒uang Transform for Application to
) O3 J3 ^! S, W' Y! @; rPower System Oscillations . . . . . . . . . . . . . . . . . . . . . . . . .
7 J9 n4 u# c2 K ]. . . . . . . . 37
; b( ~7 h) Z* q8 d8 n) _Nilanjan Senroy" r1 C: x0 r$ {7 Q% P
9 K& P. ]6 M8 e0 X
3 Variants of Hilbert朒uang Transform with Applications to Power; k7 X' U8 l+ I2 S% h0 h
Systems?Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . 5 F( w L( ~2 \4 d
. . . . . . 63
: T1 l0 _% T. f, GDina Shona Laila, Arturo Roman Messina, and Bikash Pal
5 l4 W6 {$ `. L" [+ V. l" X/ x8 Q) e1 ^/ K
4 Practical Application of Hilbert Transform Techniques in Identifying4 o! R# z, [6 y9 ?: q" J; f- N
Inter-area Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . . ) o! T- D3 S! Q
. . . . . . . . . . 101
( ] R3 p( G" H& @# }T. J. Browne, V. Vittal, G.T. Heydt, and Arturo Roman Messina
3 k/ K) g# u$ g& F
8 h; X, j! E) ]5 i5 A Real-Time Wide-Area Controller for Mitigating Small-Signal
& X3 ]( M2 Z L" j2 b% n+ H" EInstability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ; D# n* }$ y1 [
. . . . . . . . . . . . . . 127
3 o9 N) U, u* s: v/ A" X* gJaime Quintero and Vaithianathan (Mani) Venkatasubramanian
" L! W) D/ R$ J- ~+ B0 a6 \) X
" D: c# m; z! `6 Complex Empirical Orthogonal Function Analysis of Power System
/ n2 ?" f; K- ^- w+ T8 }Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . . . . .
8 W$ F. r4 W0 Q' n. . . . . . . . . . 1597 b% J0 o1 j6 ]7 V3 H1 {) k
P. Esquivel, E. Barocio, M.A. Andrade, and F. Lezama
# L) z! k+ e" Z' w5 r1 k7 k$ N9 ^- |& z7 S( K# B+ S
7 Detection and Estimation of Nonstationary Power Transients . . . . . . 189
# m3 q# t1 N7 m: qGerard Ledwich, Ed Palmer, and Arindam Ghosh
5 c ^: z2 u& H( F6 x4 t, f& R0 R1 r6 O( _$ h: P2 H: m
8 Advanced Monitoring and Control Approaches for Enhancing Power) p) z, E; U; e. p, r: |0 I
System Security . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
( w3 l! f* [( F I. . . . . . . . . . . 2316 k6 F+ j b4 O8 |2 `* N# I
Sergio Bruno, Michele De Benedictis, and Massimo La Scala$ J' U: Y* I: Z* Q% v" O
Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
" R U) S) u1 o# c& g2 O. . . . . . . . . . . . . . . . . . 261
" L$ Q: W9 @0 s4 I$ m% o1 |; D% T( M' f
$ K s Q) X# Y- V; [0 l( a* t9 v6 J; W7 E! `) _
, N: P8 S( \1 |2 GPublisher: Springer , 233 Spring Street, New York, NY 100134 ?% @& U0 P0 w: \, b+ B! |& {1 o
<http://www.springer.com/>www.springer.com Tel 1-800-Springer
' c% v1 ]$ | T- V2 {2 T9 cISBN 978-0-387-89529-1 e-ISBN 978-0-387-89530-7# {9 }/ n0 A! D. J% d
Series: Power Electronics and Power Systems0 c; G! |5 ]" Y; V. \ l9 l5 K
2009, 218 p., Hardcover |
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