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Interconnected Power Systems: Wide-Area Dynamic Monitoring and Control Applications 1st ed. 2016 [Kõva köide]

  • Formaat: Hardback, 223 pages, kõrgus x laius: 235x155 mm, kaal: 4853 g, 143 Illustrations, black and white; XV, 223 p. 143 illus., 1 Hardback
  • Sari: Power Systems
  • Ilmumisaeg: 10-Feb-2016
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3662486253
  • ISBN-13: 9783662486252
  • Formaat: Hardback, 223 pages, kõrgus x laius: 235x155 mm, kaal: 4853 g, 143 Illustrations, black and white; XV, 223 p. 143 illus., 1 Hardback
  • Sari: Power Systems
  • Ilmumisaeg: 10-Feb-2016
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3662486253
  • ISBN-13: 9783662486252
This book reports on the latest findings in the application of the wide area measurement systems (WAMS) in the analysis and control of power systems. The book collects new research ideas and achievements including a delay-dependent robust design method, a wide area robust coordination strategy, a hybrid assessment and choice method for wide area signals, a free-weighting matrices method and its application, as well as the online identification methods for low-frequency oscillations. The main original research results of this book are a comprehensive summary of the authors’ latest six-year study. The book will be of interest to academic researchers, R&D engineers and graduate students in power systems who wish to learn the core principles, methods, algorithms, and applications of the WAMS.
1 Introduction
1(12)
1.1 Status Quo and Trends of Interconnected Systems
1(2)
1.2 Stability Problems of Interconnected Systems
3(1)
1.3 WAMS Technology and Its Application in Interconnected Systems
4(1)
1.4 Low-Frequency Oscillation Analysis Methods
5(2)
1.5 Challenges of Wide Area Dynamic Monitoring and Control
7(6)
References
9(4)
2 Theoretical Foundation of Low-Frequency Oscillations
13(26)
2.1 The Basic Principles of Low-Frequency Oscillation
13(6)
2.1.1 Local Mode
14(2)
2.1.2 Inter-Area Mode
16(3)
2.2 Techniques Based on System Model
19(5)
2.2.1 Linearization of the State Equation
20(1)
2.2.2 Calculation of Eigenvalues and Eigenvectors
21(1)
2.2.3 Determination of Oscillation Parameters
22(1)
2.2.4 Brief Summary of System Model Analysis Techniques
23(1)
2.3 Techniques Based on Measured Information
24(12)
2.3.1 Discrete Fourier Transform
24(2)
2.3.2 Prony Algorithm and Multi-Prony
26(3)
2.3.3 Wavelet Transform and Its Improvements
29(2)
2.3.4 Hilbert-Huang Transform
31(5)
2.4 Summary
36(3)
References
36(3)
3 Oscillatory Parameters Computation Based on Improved HHT
39(20)
3.1 Introduction of Improved Empirical Mode Decomposition (EMD)
39(12)
3.1.1 The Selection of Stop Criterion for Sifting in EMD
39(2)
3.1.2 End Effects and Extrema Symmetrical Extension
41(3)
3.1.3 Mode-Mixing and Frequency Heterodyne Technique (FHT)
44(6)
3.1.4 The Improved EMD Based on ESE and FHT
50(1)
3.2 Time and Frequency Analysis of Intrinsic Mode Function
51(2)
3.3 Normalized Hilbert Transform (NHT)
53(3)
3.3.1 Decompose the IMF into AM and FM Parts
54(1)
3.3.2 Calculation of the Instantaneous Frequency
55(1)
3.3.3 Calculation of the Instantaneous Amplitude and Damping Ratio
56(1)
3.4 The Flowchart of the Improved HHT
56(1)
3.5 Summary
57(2)
References
58(1)
4 Oscillation Model Identification Based on Nonlinear Hybrid Method (NHM)
59(16)
4.1 Identification of Dominant Oscillation Mode
59(2)
4.2 The Processing of Oscillation Mode Identification
61(6)
4.2.1 Calculation of the Absolute Phase (AP) and Relative Phase (RP) of IMF
61(1)
4.2.2 Determination of Node Contribution Factor (NCF)
62(1)
4.2.3 Computation of Approximate Mode Shape (AMS)
63(1)
4.2.4 Coherency of the Measured Signals
64(1)
4.2.5 Flowchart of the Nonlinear Hybrid Method (NHM)
65(2)
4.3 Study Case
67(7)
4.4 Summary
74(1)
References
74(1)
5 Identification of Dominant Complex Orthogonal Mode (COM)
75(18)
5.1 Introduction of Spatial and Temporal Behaviors of Oscillation Mode
75(2)
5.2 Construction of the Complex Ensemble Measurement Matrix
77(1)
5.3 Implementations of Complex Orthogonal Decomposition (COD)
78(5)
5.3.1 Complex Eigenvalues Decomposition (C-ED)
78(1)
5.3.2 Complex Singular Value Decomposition (C-SVD)
79(1)
5.3.3 Augmented Matrix Decomposition (AMD)
80(2)
5.3.4 Definition of Relevant COMs
82(1)
5.4 Extraction of the Propagating Features
83(1)
5.4.1 Spatial Energy Distribution
83(1)
5.4.2 Temporal Dynamic Characteristics
83(1)
5.4.3 Energy Contribution Factor (ECF)
84(1)
5.5 The Flowchart of Proposed COD
84(1)
5.6 Study Case
85(6)
5.6.1 Description of Sliding Window
85(1)
5.6.2 Sliding Window Recursive Algorithm (SWRA) of COD
86(1)
5.6.3 Applications of the COD-SWRA
87(4)
5.7 Summary
91(2)
References
91(2)
6 Basic Framework and Operating Principle of Wide-Area Damping Control
93(10)
6.1 Basic Framework of Wide-Area Damping Control
93(2)
6.2 Operating Principle of Wide-Area Damping Control
95(3)
6.3 System Modeling
98(3)
6.3.1 SMIB System with FACTS WADC
98(1)
6.3.2 System Modeling Based on Direct Feedback Linearization Theory
98(3)
6.4 Summary
101(2)
References
101(2)
7 Coordinated Design of Local PSSs and Wide-Area Damping Controller
103(18)
7.1 Overview of Optimization Method
103(1)
7.2 Description of Sequence Design and Global Optimization Method
104(3)
7.2.1 Structure of PSS and HVDC-WADC
104(1)
7.2.2 Design Procedure
104(3)
7.3 Methodological Implementation
107(2)
7.3.1 Damping Distribution
107(1)
7.3.2 Sequential Design
107(1)
7.3.3 Global Optimization
108(1)
7.4 Case Study
109(9)
7.4.1 AC/DC Hybrid Interconnected Systems
109(1)
7.4.2 Result of Damping Distribution
110(2)
7.4.3 Design Result
112(2)
7.4.4 Performance Validation
114(4)
7.5 Summary
118(3)
References
119(2)
8 Robust Coordination of HVDC and FACTS Wide-Area Damping Controllers
121(16)
8.1 Overview of Wide-Area Damping Control
121(1)
8.2 Description of Wide-Area Control Networks Using Multiple Power Electronics-Based Controllers
122(1)
8.3 Controller Design Formulation
123(2)
8.3.1 Multi-objective Synthesis of Wide-Area Robust Control
123(1)
8.3.2 Pole Placement in LMI Regions
124(1)
8.4 Design Procedure of Wide-Area Robust Coordinated Control
125(1)
8.5 Case Study
126(8)
8.5.1 Choice of Suitable Wide-Area Control Signals
126(2)
8.5.2 Robust Design of HVDC- and FACTS-WADC
128(2)
8.5.3 Evaluation of Robust Performance
130(2)
8.5.4 Nonlinear Simulation
132(2)
8.6 Summary
134(3)
References
134(3)
9 Assessment and Choice of Input Signals for Multiple Wide-Area Damping Controllers
137(18)
9.1 Overview of Signal Selection Methods
137(1)
9.2 Description of Relative Gain Array and Residue Analysis
138(3)
9.2.1 Power System Model
138(1)
9.2.2 Residue Analysis Method
139(1)
9.2.3 RGA Analysis Method
139(2)
9.3 Signal Selection Procedure
141(2)
9.4 Case Study
143(10)
9.4.1 Preselection of Input Signal Candidates
144(1)
9.4.2 Final Choice of Effective Input Signals
145(2)
9.4.3 Comparison with Local Control and Other Wide-Area Control Pairs
147(1)
9.4.4 Design of Multiple HVDC- and FACTS-WADCs
148(2)
9.4.5 Validation of Control Performance
150(3)
9.5 Summary
153(2)
References
154(1)
10 Free-Weighting Matrix Method for Delay Compensation of Wide-Area Signals
155(24)
10.1 Time-Delay Power System
155(4)
10.1.1 Description of Delay Power System with Wide-Area Signals' Delay
156(2)
10.1.2 Stability Analysis of Time-Delay Power System
158(1)
10.2 Description of Free-Weighting Matrices (FWMs) Method
159(3)
10.3 General Configuration of FACTS-WADC Based on FWMs Approach
162(1)
10.4 FWMs Approach-Based FACTS-WADC Design
163(6)
10.5 Cases Study
169(5)
10.5.1 4-Machine 2-Area System
169(2)
10.5.2 16-Machine 5-Area Test System
171(3)
10.6 Summary
174(5)
References
177(2)
11 Design and Implementation of Delay-Dependent Wide-Area Damping Control for Stability Enhancement of Power Systems
179(24)
11.1 System Description
179(1)
11.2 Hardware Design
180(4)
11.3 Design of the Control Algorithm
184(7)
11.3.1 Classic Phase Compensation Method
184(2)
11.3.2 Delay-Dependent State-Feedback Robust Design Method
186(3)
11.3.3 Delay-Dependent Dynamic Output-Feedback Control Method
189(2)
11.4 Algorithm Implementation
191(6)
11.4.1 Discrete-Time Model for the Hardware Controller
191(3)
11.4.2 Algorithm Flowchart
194(3)
11.5 Experimental Results
197(4)
11.6 Summary
201(2)
References
201(2)
12 Design and Implementation of Parallel Processing in Embedded PDC Application for FACTS Wide-Area Damping Control
203(20)
12.1 System Description
203(2)
12.2 Design of the Embedded System
205(2)
12.3 Implementation of the Embedded System
207(8)
12.3.1 Data Receiving via Communication Network
207(1)
12.3.2 Data Processing
208(2)
12.3.3 Monitoring and Protection
210(2)
12.3.4 Wide-Area Damping Controller
212(1)
12.3.5 Control Output Through SPI and External DAC
213(2)
12.4 Parallel Processing of the Embedded System
215(2)
12.5 Experimental Result
217(6)
12.6 Summary
223(1)
References 223