Inter-area Oscillations in Power Systems- J. [9 W4 U1 d) F( }
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A.R.Messina (Editor)3 w" ^: R" s; v9 w
Centro de Investigacion1 T3 P/ ~; [. S# ?
de Estudios Avanzados g/ D2 L# w. P# w8 X% }$ u* G- J del IPN& ?6 q8 N9 O6 H3 |
Guadalajara, Mexico8 p0 N+ D, S5 u+ g
$ u/ J' c6 z6 h5 [/ O" UInter-area Oscillations in Power Systems: A Nonlinear and Nonstationary 7 v4 x- U) S* S4 s5 q0 d
Perspective deals with the development and application of advanced : E1 o& c' r( I' e/ ]4 Zmeasurement-based signal processing techniques to the study, ; w9 m! I, z3 G- v" Pcharacterization, and control of inter-area oscillations in power systems. / b4 E/ E) f& @$ }# l& Y" gThe material reviews recent advances in understanding, modeling and 2 g7 ~$ y, v/ a9 ]4 n' F/ U7 pcontrolling system oscillations with special emphasis on the analysis and $ z3 \! Y5 x; T3 p; z* m# j- U
control of complex time-varying (and possibly nonlinear) power system . n* Q1 A3 R$ Z, w K0 O, f! Ftransient processes. & x7 d/ W& N+ f. y+ u! H8 eThe book is organized into eight chapters written by leading researchers $ G6 k+ m5 T( s' H0 o5 Zwho are major contributors in this field. The authors provide techniques 5 p; Y5 a" C) }* f6 H3 ^4 P2 s# F9 wthat explicitly address the nonlinear and nonstationary aspects of the , c; P+ u/ V. ?0 g m* u5 c
problem. Efficient methods to generate time-varying system approximations * D! y) s- g8 z& B3 d8 r6 |
from both measured and simulated data are proposed. Attention is also given 0 W/ Q. q: ~' h/ G0 y( x
to the vital new ideas of dynamic security assessment in real-time 0 W3 \) M# V+ ]: j2 _implementations and the development of smart, wide-area measurement and " p* c8 D7 e v- A U
control systems incorporating FACTS technologies. Application examples ( d, `/ B2 [" q$ {include the analysis of real data collected on grids in western North 9 q. x8 Q- Z, L3 W3 w, x
America, Australia, Italy and Mexico. / L9 [/ C( n5 vInter-area Oscillations in Power Systems: A Nonlinear and Nonstationary . h9 E, l# Y' i9 f, `$ uPerspective is a comprehensive, systematic account of current analysis % \. Z- f' C* ~( Smethods in power system oscillatory dynamics in both time and frequency % j8 A4 a% u; e. X6 P: Sdomains ranging from parametric and non-parametric signal processing ' I' l+ K% |* j7 m
methods, to data-driven time-series models and statistical approaches.+ F1 h. k' H3 `# s* L& t6 a+ m
Table of Contents 9 }( C$ n* |# S! `& _9 j( g6 v* C* aContents " ?: s, K$ @3 |: F3 S: w6 z% t W3 i$ }. E, I6 t
1 Signal Processing Methods for Estimating Small-Signal Dynamic R1 n7 l) [/ l( E p0 QProperties from Measured Responses. . . . . . . . . . . . . . . . . . . . . & D% w L) V5 b' U2 h. . . . 1 2 }, X7 o h/ J% jDaniel Trudnowski and John Pierre/ @4 d8 W6 x) e- a. S3 B
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K" @( A, G) w/ @- v+ j3 ~% P6 ]% F7 y% c% _6 a2 u/ H
! L' w9 ^- s% M5 l0 R4 S# G# B2 Enhancements to the Hilbert朒uang Transform for Application to # U7 |" {2 B' e5 H& s6 I: _Power System Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . ' y& [0 z1 o/ u; W& A. . . . . . . . 37 1 t* }% x, t+ h4 M# T2 K U# fNilanjan Senroy) |! g( j- C$ w
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3 Variants of Hilbert朒uang Transform with Applications to Power & [1 G, l4 a* g' P' O. r- eSystems?Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . * @7 l" _/ [9 w2 U3 J9 g; O. . . . . . 63 % i' f9 ^- \6 h2 ^7 LDina Shona Laila, Arturo Roman Messina, and Bikash Pal ( r) `8 y. b7 i+ \: j ! M( Z) f N( D/ v4 Practical Application of Hilbert Transform Techniques in Identifying/ k/ H/ f3 B7 G1 w4 p( ?! x
Inter-area Oscillations . . . . . . . . . . . . . . . . . . . . . . . . . . ) A# ?7 e- d9 `9 g. . . . . . . . . . 101% O1 L+ X+ V* Y9 F, g
T. J. Browne, V. Vittal, G.T. Heydt, and Arturo Roman Messina \, `: L3 U7 q + {/ n3 L# @! S8 e2 {5 A Real-Time Wide-Area Controller for Mitigating Small-Signal 8 Q1 t+ d6 [3 a5 ?Instability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . / X7 E6 b+ g/ r$ `1 _3 c. . . . . . . . . . . . . . 127* h6 f9 v9 J, O
Jaime Quintero and Vaithianathan (Mani) Venkatasubramanian$ }* l. P8 }7 }3 s. n
+ I% D" S6 C+ n- D- [6 Complex Empirical Orthogonal Function Analysis of Power System6 s" i6 ]7 N/ }2 ?- b+ q4 r
Oscillatory Dynamics . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 @9 g- [1 t/ a% n* w. . . . . . . . . . 159 ! n' @" F3 t- ~ \P. Esquivel, E. Barocio, M.A. Andrade, and F. Lezama' {1 L) ^9 K# H b
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7 Detection and Estimation of Nonstationary Power Transients . . . . . . 189 x) O/ v0 j* l- DGerard Ledwich, Ed Palmer, and Arindam Ghosh& ? s7 r: ^6 }7 j7 b
- b- M$ y6 t% w( i8 O- D1 t8 Advanced Monitoring and Control Approaches for Enhancing Power! S4 l1 J' Q& |. @1 v- @
System Security . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 h' I. W6 M5 Y) c6 Y
. . . . . . . . . . . 231 c( G. J" Y- m& t0 c
Sergio Bruno, Michele De Benedictis, and Massimo La Scala ' u6 v' [; t. D' GIndex . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ( F0 u1 o/ d! [! D9 m+ j8 y. . . . . . . . . . . . . . . . . . 261 ' v( L* \9 ]5 j5 K1 Y* p; L. o! \* e. b7 N
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; B8 B: C5 E1 l% kPublisher: Springer , 233 Spring Street, New York, NY 10013 " I" E7 S; M1 T: m0 L6 u) U; }<http://www.springer.com/>www.springer.com Tel 1-800-Springer% f6 f- @- h$ w1 G6 {' ? ?
ISBN 978-0-387-89529-1 e-ISBN 978-0-387-89530-7( I _2 ~& E- K, M5 S5 `/ g: l
Series: Power Electronics and Power Systems ' _# ]# Z% Q! P7 x+ |# R( @ U) h2009, 218 p., Hardcover
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