Learn how to implement BCU methods for fast direct stability assessments of electric power systems
Electric power providers around the world rely on stability analysis programs to help ensure uninterrupted service to their customers. These programs are typically based on step-by-step numerical integrations of power system stability models to simulate system dynamic behaviors. Unfortunately, this offline practice is inadequate to deal with current operating environments. For years, direct methods have held the promise of providing real-time stability assessments; however, these methods have presented several challenges and limitations.
This book addresses these challenges and limitations with the BCU methods developed by author Hsiao-Dong Chiang. To date, BCU methods have been adopted by twelve major utility companies in Asia and North America. In addition, BCU methods are the only direct methods adopted by the Electric Power Research Institute in its latest version of DIRECT 4.0.
Everything you need to take full advantage of BCU methods is provided, including:
- Theoretical foundations of direct methods
- Theoretical foundations of energy functions
- BCU methods and their theoretical foundations
- Group-based BCU method and its applications
- Numerical studies on industrial models and data
Armed with a solid foundation in the underlying theory of direct methods, energy functions, and BCU methods, you'll discover how to efficiently solve complex practical problems in stability analysis. Most chapters begin with an introduction and end with concluding remarks, making it easy for you to implement these tested and proven methods that will help you avoid costly and dangerous power outages.
|Product dimensions:||6.20(w) x 9.40(h) x 1.30(d)|
About the Author
Hsiao-Dong Chiang, PhD, a Fellow of IEEE, is Professor of Electrical and Computer Engineering at Cornell University. Dr. Chiang is the founder of Bigwood Systems, Inc., and Global Optimal Technology, Inc., as well as the cofounder of Intelicis Corporation. Dr. Chiang's research and development activities range from fundamental theory development to practical system installations. He and his group at Cornell have published more than 300 refereed journal and conference papers. Professor Chiang's research focuses on nonlinear system theory and nonlinear computations and their practical applications to electric circuits, systems, signals, and images. He has been awarded ten U.S. patents and four patents from overseas countries.
Table of Contents
1. Introduction and Overview.
1.2 Trends of Operating Environment.
1.3 Online TSA.
1.4 Need for New Tools.
1.5 Direct Methods: Limitations and Challenges.
1.6 Purposes of This Book.
2. System Modeling and Stability Problems.
2.2 Power System Stability Problem.
2.3 Model Structures and Parameters.
2.4 Measurement-Based Modeling.
2.5 Power System Stability Problems.
2.6 Approaches for Stability Analysis.
2.7 Concluding Remarks.
3. Lyapunov Stability and Stability Regions of Nonlinear Dynamical Systems.
3.2 Equilibrium Points and Lyapunov Stability.
3.3 Lyapunov Function Theory.
3.4 Stable and Unstable Manifolds.
3.5 Stability Regions.
3.6 Local Characterizations of Stability Boundary.
3.7 Global Characterization of Stability Boundary.
3.8 Algorithm to Determine the Stability Boundary.
4. Quasi-Stability Regions: Analysis and Characterization.
4.2 Quasi-Stability Region.
4.3 Characterization of Quasi-Stability Regions.
5. Energy Function Theory and Direct Methods.
5.2 Energy Functions.
5.3 Energy Function Theory.
5.4 Estimating Stability Region Using Energy Functions.
5.5 Optimal Schemes for Estimating Stability Regions.
5.6 Quasi-Stability Region and Energy Function.
6. Constructing Analytical Energy Functions for Transient Stability Models.
6.2 Energy Functions for Lossless Network-Reduction Models.
6.3 Energy Functions for Lossless Structure-Preserving Models.
6.4 Nonexistence of Energy Functions for Lossy Models.
6.5 Existence of Local Energy Functions.
6.6 Concluding Remarks.
7. Construction of Numerical Energy Functions for Lossy Transient Stability Models.
7.2 A Two-Step Procedure.
7.3 First Integral-Based Procedure.
7.4 Ill-Conditioned Numerical Problems.
7.5 Numerical Evaluations of Approximation Schemes.
7.6 Multistep Trapezoidal Scheme.
7.7 On the Corrected Numerical Energy Functions.
7.8 Concluding Remarks.
8. Direct Methods for Stability Analysis: An Introduction.
8.2 A Simple System.
8.3 Closest UEP Method.
8.4 Controlling UEP Method.
8.5 PEBS Method.
8.6 Concluding Remarks.
9. Foundation of the Closest UEP Method.
9.2 A Structure-Preserving Model.
9.3 Closest UEP.
9.4 Characterization of the Closest UEP.
9.5 Closest UEP Method.
9.6 Improved Closest UEP Method.
9.7 Robustness of the Closest UEP.
9.8 Numerical Studies.
10. Foundations of the Potential Energy Boundary Surface Method.
10.2 Procedure of the PEBS Method.
10.3 Original Model and Artifi cial Model.
10.4 Generalized Gradient Systems.
10.5 A Class of Second-Order Dynamical Systems.
10.6 Relation between the Original Model and the Artifi cial Model.
10.7 Analysis of the PEBS Method.
10.8 Concluding Remarks.
11. Controlling UEP Method: Theory.
11.2 The Controlling UEP.
11.3 Existence and Uniqueness.
11.4 The Controlling UEP Method.
11.5 Analysis of the Controlling UEP Method.
11.6 Numerical Examples.
11.7 Dynamic and Geometric Characterizations.
11.8 Concluding Remarks.
12. Controlling UEP Method: Computations.
12.2 Computational Challenges.
12.3 Constrained Nonlinear Equations for Equilibrium Points.
12.4 Numerical Techniques for Computing Equilibrium Points.
12.5 Convergence Regions of Equilibrium Points.
12.6 Conceptual Methods for Computing the Controlling UEP.
12.7 Numerical Studies.
12.8 Concluding Remarks.
13. Foundations of Controlling UEP Methods for Network-Preserving Transient Stability Models.
13.2 System Models.
13.3 Stability Regions.
13.4 Singular Perturbation Approach.
13.5 Energy Functions for Network-Preserving Models.
13.6 Controlling UEP for DAE Systems.
13.7 Controlling UEP Method for DAE Systems.
13.8 Numerical Studies.
13.9 Concluding Remarks.
14. Network-Reduction BCU Method and Its Theoretical Foundation.
14.2 Reduced-State System.
14.3 Analytical Results.
14.4 Static and Dynamic Relationships.
14.5 Dynamic Property (D3).
14.6 A Conceptual Network-Reduction BCU Method.
14.7 Concluding Remarks.
15. Numerical Network-Reduction BCU Method.
15.2 Computing Exit Points.
15.3 Stability-Boundary-Following Procedure.
15.4 A Safeguard Scheme.
15.5 Illustrative Examples.
15.6 Numerical Illustrations.
15.7 IEEE Test System.
15.8 Concluding Remarks.
16. Network-Preserving BCU Method and Its Theoretical Foundation.
16.2 Reduced-State Model.
16.3 Static and Dynamic Properties.
16.4 Analytical Results.
16.5 Overall Static and Dynamic Relationships.
16.6 Dynamic Property (D3).
16.7 Conceptual Network-Preserving BCU Method.
16.8 Concluding Remarks.
17. Numerical Network-Preserving BCU Method.
17.2 Computational Considerations.
17.3 Numerical Scheme to Detect Exit Points.
17.4 Computing the MGP.
17.5 Computation of Equilibrium Points.
17.6 Numerical Examples.
17.7 Large Test Systems.
17.8 Concluding Remarks.
18. Numerical Studies of BCU Methods from Stability Boundary Perspectives.
18.2 Stability Boundary of Network-Reduction Models.
18.3 Network-Preserving Model.
18.4 One Dynamic Property of the Controlling UEP.
18.5 Concluding Remarks.
19. Study of the Transversality Conditions of the BCU Method.
19.2 A Parametric Study.
19.3 Analytical Investigation of the Boundary Property.
19.4 The Two-Machine Infi nite Bus (TMIB) System.
19.5 Numerical Studies.
19.6 Concluding Remarks.
20. The BCU–Exit Point Method.
20.2 Boundary Property.
20.3 Computation of the BCU–Exit Point.
20.4 BCU–Exit Point and Critical Energy.
20.5 BCU–Exit Point Method.
20.6 Concluding Remarks.
21. Group Properties of Contingencies in Power Systems.
21.2 Groups of Coherent Contingencies.
21.3 Identifi cation of a Group of Coherent Contingencies.
21.4 Static Group Properties.
21.5 Dynamic Group Properties.
21.6 Concluding Remarks.
22. Group-Based BCU–Exit Method.
22.2 Group-Based Verifi cation Scheme.
22.3 Linear and Nonlinear Relationships.
22.4 Group-Based BCU–Exit Point Method.
22.5 Numerical Studies.
22.6 Concluding Remarks.
23. Group-Based BCU–CUEP Methods.
23.2 Exact Method for Computing the Controlling UEP.
23.3 Group-Based BCU–CUEP Method.
23.4 Numerical Studies.
23.5 Concluding Remarks.
24. Group-Based BCU Method.
24.2 Group-Based BCU Method for Accurate Critical Energy.
24.3 Group-Based BCU Method for CUEPs.
24.4 Numerical Studies.
24.5 Concluding Remarks.
25. Perspectives and Future Directions.
25.1 Current Developments.
25.2 Online Dynamic Contingency Screening.
25.3 Further Improvements.
25.4 Phasor Measurement Unit (PMU)-Assisted Online ATC Determination.
25.5 Emerging Applications.
25.6 Concluding Remarks.
A1.1 Mathematical Preliminaries.
A1.2 Proofs of Theorems in Chapter 9.
A1.3 Proofs of Theorems in Chapter 10.
What People are Saying About This
"Armed with a solid foundation in the underlying theory of direct methods, energy functions, and BCU methods, you'll discover how to efficiently solve complex practical problems in stability analysis. Most chapters begin with an introduction and end with concluding remarks, making it easy for you to implement these tested and proven methods that will help you avoid costly and dangerous power outages." (O Six Media, 8 March 2011)