Direct Methods for Stability Analysis of Electric Power Systems

Hsiao-Dong Chiang 지음

Wiley 2011년 03월 16일 출간

작품소개

책소개

Learn how to implement BCU methods for fast direct stability assessments of electric power systemsElectric 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 methodsTheoretical foundations of energy functionsBCU methods and their theoretical foundationsGroup-based BCU method and its applicationsNumerical studies on industrial models and dataArmed 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.

목차

Preface.Acknowledgments.1. Introduction and Overview.1.1 Introduction.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.2.1 Introduction.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.3.1 Introduction.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.3.9 Conclusion.4. Quasi-Stability Regions: Analysis and Characterization.4.1 Introduction.4.2 Quasi-Stability Region.4.3 Characterization of Quasi-Stability Regions.4.4 Conclusions.5. Energy Function Theory and Direct Methods.5.1 Introduction.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.5.7 Conclusion.6. Constructing Analytical Energy Functions for Transient Stability Models.6.1 Introduction.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.7.1 Introduction.7.2 A Two-Step Procedure.7.3 First Integral-Base

출판사 서평

"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)

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저자(글) Hsiao-Dong Chiang

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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.