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E-grāmata: Power System Dynamics and Stability - With Synchrophasor Measurement and Power System Toolbox 2e: With Synchrophasor Measurement and Power System Toolbox 2nd Edition [Wiley Online]

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  • Formāts: 374 pages
  • Sērija : IEEE Press
  • Izdošanas datums: 22-Sep-2017
  • Izdevniecība: Wiley-IEEE Press
  • ISBN-10: 1119355753
  • ISBN-13: 9781119355755
Citas grāmatas par šo tēmu:
  • Wiley Online
  • Cena: 137,50 €*
  • * this price gives unlimited concurrent access for unlimited time
Power System Dynamics and Stability - With Synchrophasor Measurement and Power System Toolbox 2e: With Synchrophasor Measurement and Power System Toolbox 2nd EditionPalielināt
  • Formāts: 374 pages
  • Sērija : IEEE Press
  • Izdošanas datums: 22-Sep-2017
  • Izdevniecība: Wiley-IEEE Press
  • ISBN-10: 1119355753
  • ISBN-13: 9781119355755
Citas grāmatas par šo tēmu:
Wiley Online E-booksMore info about Wiley Online
Rokasgrāmatas mājas lapa: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119355755

Classic power system dynamics text now with phasor measurement and simulation toolbox

This new edition addresses the needs of dynamic modeling and simulation relevant to power system planning, design, and operation, including a systematic derivation of synchronous machine dynamic models together with speed and voltage control subsystems. Reduced-order modeling based on integral manifolds is used as a firm basis for understanding the derivations and limitations of lower-order dynamic models.  Following these developments, multi-machine model interconnected through the transmission network is formulated and simulated using numerical simulation methods. Energy function methods are discussed for direct evaluation of stability. Small-signal analysis is used for determining the electromechanical modes and mode-shapes, and for power system stabilizer design. 

Time-synchronized high-sampling-rate phasor measurement units (PMUs) to monitor power system disturbances have been implemented throughout North America and many other countries. In this second edition, new chapters on synchrophasor measurement and using the Power System Toolbox for dynamic simulation have been added. These new materials will reinforce power system dynamic aspects treated more analytically in the earlier chapters.

Key features:

  • Systematic derivation of synchronous machine dynamic models and simplification.
  • Energy function methods with an emphasis on the potential energy boundary surface and the controlling unstable equilibrium point approaches.
  • Phasor computation and synchrophasor data applications.
  • Book companion website for instructors featuring solutions and PowerPoint files. Website for students featuring MATLABTM files.

Power System Dynamics and Stability, 2nd Edition, with Synchrophasor Measurement and Power System Toolbox combines theoretical as well as practical information for use as a text for formal instruction or for reference by working engineers.

Preface xiii
About the Companion Website xv
1 Introduction 1(6)
1.1 Background
1(1)
1.2 Physical Structures
2(1)
1.3 Time-Scale Structures
3(1)
1.4 Political Structures
4(1)
1.5 The Phenomena of Interest
5(1)
1.6 New
Chapters Added to this Edition
5(2)
2 Electromagnetic Transients 7(12)
2.1 The Fastest Transients
7(1)
2.2 Transmission Line Models
7(5)
2.3 Solution Methods
12(5)
2.4 Problems
17(2)
3 Synchronous Machine Modeling 19(34)
3.1 Conventions and Notation
19(1)
3.2 Three-Damper-Winding Model
20(1)
3.3 Transformations and Scaling
21(8)
3.4 The Linear Magnetic Circuit
29(6)
3.5 The Nonlinear Magnetic Circuit
35(5)
3.6 Single-Machine Steady State
40(4)
3.7 Operational Impedances and Test Data
44(5)
3.8 Problems
49(4)
4 Synchronous Machine Control Models 53(18)
4.1 Voltage and Speed Control Overview
53(1)
4.2 Exciter Models
53(5)
4.3 Voltage Regulator Models
58(4)
4.4 Turbine Models
62(5)
4.4.1 Hydroturbines
62(2)
4.4.2 Steam Turbines
64(3)
4.5 Speed Governor Models
67(3)
4.6 Problems
70(1)
5 Single-Machine Dynamic Models 71(30)
5.1 Terminal Constraints
71(3)
5.2 The Multi-Time-Scale Model
74(2)
5.3 Elimination of Stator/Network Transients
76(5)
5.4 The Two-Axis Model
81(2)
5.5 The One-Axis (Flux-Decay) Model
83(1)
5.6 The Classical Model
84(2)
5.7 Damping Torques
86(4)
5.8 Single-Machine Infinite-Bus System
90(4)
5.9 Synchronous Machine Saturation
94(6)
5.10 Problems
100(1)
6 Multimachine Dynamic Models 101(34)
6.1 The Synchronously Rotating Reference Frame
101(2)
6.2 Network and R-L Load Constraints
103(2)
6.3 Elimination of Stator/Network Transients
105(8)
6.3.1 Generalization of Network and Load Dynamic Models
110(2)
6.3.2 The Special Case of "Impedance Loads"
112(1)
6.4 Multimachine Two-Axis Model
113(3)
6.4.1 The Special Case of "Impedance Loads"
115(1)
6.5 Multimachine Flux-Decay Model
116(2)
6.5.1 The Special Case of "Impedance Loads"
117(1)
6.6 Multimachine Classical Model
118(2)
6.6.1 The Special Case of "Impedance Loads"
119(1)
6.7 Multimachine Damping Torques
120(1)
6.8 Multimachine Models with Saturation
121(5)
6.8.1 The Multimachine Two-Axis Model with Synchronous Machine Saturation
123(1)
6.8.2 The Multimachine Flux-Decay Model with Synchronous Machine Saturation
124(2)
6.9 Frequency During Transients
126(1)
6.10 Angle References and an Infinite Bus
127(2)
6.11 Automatic Generation Control (AGC)
129(6)
7 Multimachine Simulation 135(48)
7.1 Differential-Algebraic Model
135(3)
7.1.1 Generator Buses
136(1)
7.1.2 Load Buses
137(1)
7.2 Stator Algebraic Equations
138(2)
7.2.1 Polar Form
138(1)
7.2.2 Rectangular Form
138(1)
7.2.3 Alternate Form of Stator Algebraic Equations
139(1)
7.3 Network Equations
140(9)
7.3.1 Power-Balance Form
140(1)
7.3.2 Real Power Equations
141(1)
7.3.3 Reactive Power Equations
141(1)
7.3.4 Current-Balance Form
142(7)
7.4 Industry Model
149(4)
7.5 Simplification of the Two-Axis Model
153(5)
7.5.1 Simplification #1 (Neglecting Transient Saliency in the Synchronous Machine)
153(1)
7.5.2 Simplification #2 (Constant Impedance Load in the Transmission System)
154(4)
7.6 Initial Conditions (Full Model)
158(7)
7.6.1 Load-Flow Formulation
158(1)
7.6.2 Standard Load Flow
159(1)
7.6.3 Initial Conditions for Dynamic Analysis
160(5)
7.6.4 Angle Reference, Infinite Bus, and COI Reference
165(1)
7.7 Numerical Solution: Power-Balance Form
165(3)
7.7.1 SI Method
165(1)
7.7.2 Review of Newton's Method
165(1)
7.7.3 Numerical Solution Using SI Method
166(1)
7.7.4 Disturbance Simulation
167(1)
7.7.5 PE Method
168(1)
7.8 Numerical Solution: Current-Balance Form
168(3)
7.8.1 Some Practical Details
170(1)
7.8.2 Prediction
171(1)
7.9 Reduced-Order Multimachine Models
171(8)
7.9.1 Flux-Decay Model
171(1)
7.9.2 Generator Equations
172(1)
7.9.3 Stator Equations
172(1)
7.9.4 Network Equations
172(1)
7.9.5 Initial Conditions
172(1)
7.9.6 Structure-Preserving Classical Model
173(4)
7.9.7 Internal-Node Model
177(2)
7.10 Initial Conditions
179(1)
7.11 Conclusion
180(1)
7.12 Problems
180(3)
8 Small-Signal Stability 183(50)
8.1 Background
183(1)
8.2 Basic Linearization Technique
184(10)
8.2.1 Linearization of Model A
185(1)
8.2.2 Differential Equations
185(1)
8.2.3 Stator Algebraic Equations
186(1)
8.2.4 Network Equations
186(7)
8.2.5 Linearization of Model B
193(1)
8.2.6 Differential Equations
194(1)
8.2.7 Stator Algebraic Equations
194(1)
8.2.8 Network Equations
194(1)
8.3 Participation Factors
194(4)
8.4 Studies on Parametric Effects
198(7)
8.4.1 Effect of Loading
198(2)
8.4.2 Effect of KA
200(1)
8.4.3 Effect of Type of Load
201(2)
8.4.4 Hopf Bifurcation
203(2)
8.5 Electromechanical Oscillatory Modes
205(4)
8.5.1 Eigenvalues of A and Aomega
207(2)
8.6 Power System Stabilizers
209(18)
8.6.1 Basic Approach
209(1)
8.6.2 Derivation of K1 - K6 Constants
209(2)
8.6.3 Linearization
211(4)
8.6.4 Synchronizing and Damping Torques
215(1)
8.6.5 Damping of Electromechanical Modes
215(4)
8.6.6 Torque-Angle Loop
219(2)
8.6.7 Synchronizing Torque
221(1)
8.6.8 Damping Torque
221(1)
8.6.9 Power System Stabilizer Design
221(1)
8.6.10 Frequency-Domain Approach
222(1)
8.6.11 Design Procedure Using the Frequency-Domain Method
223(4)
8.7 Conclusion
227(1)
8.8 Problems
227(6)
9 Energy Function Methods 233(30)
9.1 Background
233(1)
9.2 Physical and Mathematical Aspects of the Problem
233(3)
9.3 Lyapunov's Method
236(1)
9.4 Modeling Issues
237(1)
9.5 Energy Function Formulation
238(3)
9.6 Potential Energy Boundary Surface (PEBS)
241(13)
9.6.1 Single-Machine Infinite-Bus System
241(3)
9.6.2 Energy Function for a Single-Machine Infinite-Bus System
244(3)
9.6.3 Equal-Area Criterion and the Energy Function
247(2)
9.6.4 Multimachine PEBS
249(3)
9.6.5 Initialization of VpE(theta) and its Use in PEBS Method
252(2)
9.7 The Boundary Controlling u.e.p (BCU) Method
254(5)
9.7.1 Algorithm
256(3)
9.8 Structure-Preserving Energy Functions
259(1)
9.9 Conclusion
260(1)
9.10 Problems
260(3)
10 Synchronized Phasor Measurement 263(42)
10.1 Background
263(1)
10.2 Phasor Computation
264(12)
10.2.1 Nominal Frequency Phasors
264(1)
10.2.2 Off-Nominal Frequency Phasors
265(4)
10.2.3 Post Processing
269(2)
10.2.4 Positive-Sequence Signals
271(1)
10.2.5 Frequency Estimation
272(2)
10.2.6 Phasor Data Accuracy
274(1)
10.2.7 PMU Simulator
275(1)
10.3 Phasor Data Communication
276(1)
10.4 Power System Frequency Response
277(3)
10.5 Power System Disturbance Propagation
280(5)
10.5.1 Disturbance Triggering
285(1)
10.6 Power System Disturbance Signatures
285(4)
10.6.1 Generator or Load Trip
286(1)
10.6.2 Oscillations
287(1)
10.6.3 Fault and Line Switching
288(1)
10.6.4 Shunt Capacitor or Reactor Switching
289(1)
10.6.5 Voltage Collapse
289(1)
10.7 Phasor State Estimation
289(4)
10.8 Modal Analyses of Oscillations
293(3)
10.9 Energy Function Analysis
296(3)
10.10 Control Design Using PMU Data
299(2)
10.11 Conclusions and Remarks
301(1)
10.12 Problems
302(3)
11 Power System Toolbox 305(22)
11.1 Background
305(1)
11.2 Power Flow Computation
306(5)
11.2.1 Data Requirement
306(2)
11.2.2 Power Flow Formulation and Solution
308(3)
11.2.3 Nonconvergent Power Flow
311(1)
11.3 Dynamic Simulation
311(10)
11.3.1 Dynamic Models and Per-Unit Parameter Values
312(1)
11.3.2 Initialization
313(1)
11.3.3 Network Solution
314(2)
11.3.4 Integration Methods
316(1)
11.3.5 Disturbance Specifications
317(4)
11.4 Linear Analysis
321(3)
11.5 Conclusions and Remarks
324(1)
11.6 Problems
324(3)
A Integral Manifolds for Model Reduction 327(14)
A.1 Manifolds and Integral Manifolds
327(1)
A.2 Integral Manifolds for Linear Systems
328(8)
A.3 Integral Manifolds for Nonlinear Systems
336(5)
Bibliography 341(12)
Index 353
Peter W. Sauer obtained his BS in Electrical Engineering from the University of Missouri at Rolla in 1969, and the MS and PhD degrees in Electrical Engineering from Purdue University in 1974 and 1977 respectively. He served as a facilities design engineer in the U.S. Air Force from 1969 to 1973. He is currently the Grainger Professor of Electrical Engineering at the University of Illinois, Urbana-Champaign where he has been since 1977. His main work is in modeling and simulation of power systems with applications to steady-state and transient stability analysis. He served as the program director for power systems at the National Science Foundation from 1990 to 1991. He was a cofounder of PowerWorld Corporation and the Power Systems Engineering Research Center (PSERC). He is a registered Professional Engineer in Virginia and Illinois, a Fellow of the IEEE, and a member of the U.S. National Academy of Engineering.

M. A. Pai is Professor Emeritus in Electrical and Computer Engineering at the University of Illinois, Urbana-Champaign. He received his BE degree from Univ. of Madras, India in 1953, MS and PhD degrees from University of California, Berkeley in 1957 and 1961 respectively. He was with the Indian Institute of Technology, Kanpur, India from 1963 to 1981 and at the University of Illinois, Urbana-Champaign, from 1981 to 2003. His research interests are in dynamics and stability of power systems, smart grid, renewable resources and power system computation. He is the author of several text books and research monographs in these areas. He is a Fellow of IEEE, I.E. (India) and the Indian National Science Academy.

Joe H. Chow is Professor of Electrical, Computer, and Systems Engineering at Rensselaer. He received his BS degrees in Electrical Engineering and Mathematics from the University of Minnesota, Minneapolis, in 1974, and his MS and PhD degrees from the University of Illinois, Urbana-Champaign, in 1975 and 1977. He worked in the power systems business at General Electric Company in 1978 and joined Rensselaer in 1987. His research interests include power system dynamics and control, voltage stability analysis, FACTS controllers, synchronized phasor measurements and applications, and integration of renewable resources. He is a fellow of IEEE, and past recipient of the Donald Eckman Award from the American Automatic Control Council, the Control Systems Technology Award from the IEEE Control Systems Society, and the Charles Concordia Power Systems Engineering Award from the IEEE Power and Energy Systems Society.
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