Inter-area Oscillations in Power Systems 0 y, e6 i: z$ t9 [6 v" z. i1 z* c b4 ?6 ^# A
A.R.Messina (Editor) : y2 H! s. ^# k; Y: o& S Centro de Investigacion 4 {* [* M, l2 m de Estudios Avanzados , Z# s9 s O: R* A/ z* ^3 k# |5 E del IPN$ r2 M% g# v2 S1 Z
Guadalajara, Mexico, K8 @7 {! Z. L4 p2 f& l
: X8 {, d% @; @0 r/ \5 E: eInter-area Oscillations in Power Systems: A Nonlinear and Nonstationary ; R4 @# k; M" k9 b" a& [9 vPerspective deals with the development and application of advanced * v/ j3 n+ t A2 p* Q8 _' J
measurement-based signal processing techniques to the study, $ f( N& t4 q b9 J2 x! ?
characterization, and control of inter-area oscillations in power systems. ( O2 d, s, ^2 c2 {. ]9 l5 J
The material reviews recent advances in understanding, modeling and * V0 L) X: `8 F! Q% s6 h- g
controlling system oscillations with special emphasis on the analysis and $ N8 G9 W3 u+ j+ \ x% B6 Jcontrol of complex time-varying (and possibly nonlinear) power system / {" I9 ?& |2 I0 k% u
transient processes. & n5 Q7 w8 e3 ?& v* aThe book is organized into eight chapters written by leading researchers . {, z: A b* @" @- I3 J- owho are major contributors in this field. The authors provide techniques 5 i0 g0 ^& k/ j' }" L X% `that explicitly address the nonlinear and nonstationary aspects of the ( g) M8 T& Q( X4 {1 Q- U8 ^
problem. Efficient methods to generate time-varying system approximations + B! ^0 Y- s4 `% V, L
from both measured and simulated data are proposed. Attention is also given & H1 h* d( }7 c8 D+ [, y1 }+ @
to the vital new ideas of dynamic security assessment in real-time 2 q3 {8 T' B' N& ]4 r
implementations and the development of smart, wide-area measurement and 5 Q( {( C1 i I
control systems incorporating FACTS technologies. Application examples ; g$ K' c3 j& e9 [! d
include the analysis of real data collected on grids in western North # u/ x; l" R6 }
America, Australia, Italy and Mexico. " U: `4 l' t1 J* ]Inter-area Oscillations in Power Systems: A Nonlinear and Nonstationary : X2 m0 z5 e/ o+ r) yPerspective is a comprehensive, systematic account of current analysis 6 C9 s u4 s' k z
methods in power system oscillatory dynamics in both time and frequency : w1 t6 Y( s1 T/ W9 n
domains ranging from parametric and non-parametric signal processing 7 ]. w, w ~: o$ Smethods, to data-driven time-series models and statistical approaches. ( k6 v; n* `9 | Table of Contents $ G0 ~+ M% o* Z7 |1 O6 l4 MContents ( y" ^% T0 [4 c* [6 y1 F T1 T1 @ m" p, o5 c R& g1 Signal Processing Methods for Estimating Small-Signal Dynamic 2 w' [. F4 d0 W% o7 ~/ u1 o* w6 aProperties from Measured Responses. . . . . . . . . . . . . . . . . . . . . " H ^/ C, K+ g3 Q9 W6 z
. . . . 1 5 } ^) F0 h* P) o4 gDaniel Trudnowski and John Pierre2 Q% V) u N) C
" [& V- J6 A9 k2 Enhancements to the Hilbert朒uang Transform for Application to& E3 ~! u6 J d; V
Power System Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . 8 Z% V( G `& Y: `# b/ e _" }. . . . . . . . 37" O* x: A: p+ y2 ?; g9 \! D; L
Nilanjan Senroy . X- K: N$ P( b! n- m; q2 y9 l# P8 I2 h* P- g0 K
3 Variants of Hilbert朒uang Transform with Applications to Power5 e* s5 [& [/ q& l0 j8 I
Systems?Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . % X, n3 ]$ m: M! _, i
. . . . . . 63 ; V. I! L: p8 q+ [Dina Shona Laila, Arturo Roman Messina, and Bikash Pal 7 J+ {# Q0 I( H1 M. t; w4 Q/ O9 D" n. k4 P8 }
4 Practical Application of Hilbert Transform Techniques in Identifying 0 m+ S L, x( D' d- H" uInter-area Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . . / s0 K, `5 J6 w( z; k) t! I0 H' q. . . . . . . . . . 101/ o5 R4 ?7 i/ J% [+ l) {$ T
T. J. Browne, V. Vittal, G.T. Heydt, and Arturo Roman Messina 6 s# C8 a6 A% G2 \ n0 b* h/ j - D& w) T4 u' v5 b, h9 v* |- S5 A Real-Time Wide-Area Controller for Mitigating Small-Signal: a4 C1 T3 Q& N7 G$ }' E8 e4 }
Instability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . & I/ \8 a# j' }* }2 \" [
. . . . . . . . . . . . . . 1272 x, T7 m; r5 r( {1 D
Jaime Quintero and Vaithianathan (Mani) Venkatasubramanian & d4 \8 Z8 \5 A! S. A+ x+ W, b# r; v0 B$ f- L, P
6 Complex Empirical Orthogonal Function Analysis of Power System+ b3 _& _2 M0 q# o( s
Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . . . . . ! D9 {! Z! Q) B7 b& ~+ }
. . . . . . . . . . 1597 r( v& e5 n4 Y. L- B8 P/ U2 m$ ]
P. Esquivel, E. Barocio, M.A. Andrade, and F. Lezama + o4 [4 m, s$ n& o: O6 O4 S# v% m $ W- z4 F0 z1 q4 N$ F9 N* u' g7 Detection and Estimation of Nonstationary Power Transients . . . . . . 189 * e+ p. O% U( ?* n* Y( wGerard Ledwich, Ed Palmer, and Arindam Ghosh 3 \ W: |2 w1 L( d ?; C4 H( H2 m8 Advanced Monitoring and Control Approaches for Enhancing Power8 L& K2 l2 |0 J: {( Q, u! |2 l
System Security . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 T7 s' V6 C/ v
. . . . . . . . . . . 231 ) | O d5 z) |( q; B4 U7 y6 WSergio Bruno, Michele De Benedictis, and Massimo La Scala % x8 r7 u: S9 \/ d' CIndex . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0 f+ l- T7 D: p; K& t0 v. . . . . . . . . . . . . . . . . . 261 d" A# w* ^' s1 g- `. i, O
1 K7 n- j7 q1 G* _0 }$ o1 D ) q, Q, t* f' ?1 D- ~; }0 P j2 H3 e ; o! H8 n' u4 y, O# uPublisher: Springer , 233 Spring Street, New York, NY 10013# n/ g; X( Y. c& Y3 R" D
<http://www.springer.com/>www.springer.com Tel 1-800-Springer( z/ d" c2 Y- w0 F% p
ISBN 978-0-387-89529-1 e-ISBN 978-0-387-89530-7 x0 m, M6 P# b& ^4 z/ Y1 t
Series: Power Electronics and Power Systems + V @, j% v0 ]" } m2009, 218 p., Hardcover
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