Inter-area Oscillations in Power Systems. v+ N. o. \2 E, \- t
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A.R.Messina (Editor)( K! [+ N6 p- k5 N" `
Centro de Investigacion$ g8 r2 Z% I) i- C& T# P+ I! k
de Estudios Avanzados ( X' L& f6 Y; _7 h: f: ] del IPN 2 G$ o; u8 U% [7 H2 W0 C9 n Guadalajara, Mexico 6 c) n: n/ N- v3 r: ?8 I6 E% h- K. p( G7 Q; g. s6 q
Inter-area Oscillations in Power Systems: A Nonlinear and Nonstationary . Y+ J1 {5 y4 S1 H6 X# o
Perspective deals with the development and application of advanced $ ^( y. ?5 a5 @1 z. i8 A, y- k
measurement-based signal processing techniques to the study, + v7 ^" t/ Z6 H6 Jcharacterization, and control of inter-area oscillations in power systems. 2 t/ {( D; g8 l6 p' l! R5 W& UThe material reviews recent advances in understanding, modeling and 9 ^. s- \2 g+ u# f; s9 lcontrolling system oscillations with special emphasis on the analysis and % V/ a; x- g/ o. c9 M. B
control of complex time-varying (and possibly nonlinear) power system ! M& z$ o+ w% M- @
transient processes. 2 ^- P8 d4 Y7 g& H) CThe book is organized into eight chapters written by leading researchers * x1 U( `! L$ i x, a9 _; V* m) V( O8 @
who are major contributors in this field. The authors provide techniques : o! G7 Z6 I4 C! ?$ E9 s
that explicitly address the nonlinear and nonstationary aspects of the $ R' E5 k& c* F# ?$ x
problem. Efficient methods to generate time-varying system approximations $ d5 s, }3 P9 p8 y% B+ |$ b& T
from both measured and simulated data are proposed. Attention is also given 5 B& }' _: {2 [+ W
to the vital new ideas of dynamic security assessment in real-time / V' G" L8 d7 S- V
implementations and the development of smart, wide-area measurement and 0 U- D9 j8 l8 u; f0 Q. v/ x# kcontrol systems incorporating FACTS technologies. Application examples : ?/ f0 w; x3 |include the analysis of real data collected on grids in western North , [/ k5 x- v! @
America, Australia, Italy and Mexico. ) e6 p0 C n0 H( c( C# o6 W- I: r$ lInter-area Oscillations in Power Systems: A Nonlinear and Nonstationary 4 X5 z1 N$ E, FPerspective is a comprehensive, systematic account of current analysis 8 V' E, N9 w6 k1 K: Q* T% bmethods in power system oscillatory dynamics in both time and frequency / S- S8 X9 ~) Q' L' ]* P1 N
domains ranging from parametric and non-parametric signal processing & J' a3 r0 U" l2 f/ M7 Y
methods, to data-driven time-series models and statistical approaches.1 f/ x! y. P1 [ C8 _% F7 K/ }
Table of Contents I1 R$ ~ K5 Y+ G( r$ I
Contents. o8 ~+ o7 _' ^) k
S" ~( y7 M) U: A1 Signal Processing Methods for Estimating Small-Signal Dynamic3 S5 P9 G4 t# s1 p
Properties from Measured Responses. . . . . . . . . . . . . . . . . . . . . ; Y* D9 o+ v2 F* w- }
. . . . 1: k% _2 I( \: p
Daniel Trudnowski and John Pierre 2 Z! K5 h( w _- l2 n' Y( \9 z0 H- n) l/ |: K8 [' N
8 ^4 e9 @3 H' P * ]7 r2 ?' O3 S& w, h ) |) X( z' p) h* h/ D2 B+ P2 Z$ ~2 Enhancements to the Hilbert朒uang Transform for Application to & c9 |1 C2 h8 G1 b* ZPower System Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . 6 o" U. y* \7 }# Z5 p* J
. . . . . . . . 37. ~, Q4 F9 M' Z1 U: J
Nilanjan Senroy 3 D; P& s# |) `7 k. i) d7 J0 @. |$ ?) s8 g
3 Variants of Hilbert朒uang Transform with Applications to Power9 s( t/ y8 J; C: m
Systems?Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . & G2 v& i5 y+ ?2 n7 Q3 ~1 e" {' D3 x. . . . . . 636 k6 J' G) ^; n" I
Dina Shona Laila, Arturo Roman Messina, and Bikash Pal # a% I. J0 e* y( P7 O1 J# g- ?- q: D0 r3 ?7 @
4 Practical Application of Hilbert Transform Techniques in Identifying' m( f$ L$ [+ Q" O. s
Inter-area Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . . : Z- V+ ?) Z& s+ _3 H. . . . . . . . . . 1011 Y3 W% a' c7 c
T. J. Browne, V. Vittal, G.T. Heydt, and Arturo Roman Messina ( _' {4 a6 N {4 v" v6 f; f' a& ~ d+ ^0 B
5 A Real-Time Wide-Area Controller for Mitigating Small-Signal; h( k: `$ U; R$ `% w8 Z* w
Instability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ) n/ j! ^0 \( L! G; o- J. . . . . . . . . . . . . . 127 ) x1 A. o! g; SJaime Quintero and Vaithianathan (Mani) Venkatasubramanian 0 C7 j% e# X. C/ i. ^9 e ' G; s( o; M$ a; l& w6 Complex Empirical Orthogonal Function Analysis of Power System . W; |: o6 g2 y- j; M, S5 S7 m& rOscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 j, _( l& O, U' s% x& u# j; f
. . . . . . . . . . 159' H+ x3 [! V& W! U( Q
P. Esquivel, E. Barocio, M.A. Andrade, and F. Lezama o" t/ |' @! d' q0 a . e6 ?7 s e% o: g7 Detection and Estimation of Nonstationary Power Transients . . . . . . 1893 O, v0 p5 p( E1 b* _3 R% H/ }
Gerard Ledwich, Ed Palmer, and Arindam Ghosh + M" U8 Z% A1 E+ V8 @4 w # k- P2 h9 H$ I4 `, b8 Advanced Monitoring and Control Approaches for Enhancing Power : v6 u3 R# V- K8 b( X. ESystem Security . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . , w" X7 Y: S5 q4 r. . . . . . . . . . . 231 + Y0 T! b7 Z/ ]' P, E/ d, xSergio Bruno, Michele De Benedictis, and Massimo La Scala 1 h$ j2 I$ q$ ]- C4 d7 y) nIndex . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ' C; ~. K) B$ h. . . . . . . . . . . . . . . . . . 261 $ p4 Q9 O# l, S5 n; j4 d* F; `' e Q$ W: o5 N# c5 E: q
( Z9 ?4 n/ R/ L& X6 Y: \ % W8 T7 }0 u0 ~; D! D. LPublisher: Springer , 233 Spring Street, New York, NY 10013- @+ n. W, m3 K
<http://www.springer.com/>www.springer.com Tel 1-800-Springer + g' U% P2 n9 v, ? A- j. ZISBN 978-0-387-89529-1 e-ISBN 978-0-387-89530-7 2 k0 L$ @% `/ B' L! S7 Y2 HSeries: Power Electronics and Power Systems" w- I6 I8 g1 X$ C
2009, 218 p., Hardcover