+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

Dynamic Estimation and Control of Power Systems

  • Book

  • October 2018
  • Elsevier Science and Technology
  • ID: 4519419
Dynamic estimation and control is a fast growing and widely researched field of study that lays the foundation for a new generation of technologies that can dynamically, adaptively and automatically stabilize power systems. This book provides a comprehensive introduction to research techniques for real-time estimation and control of power systems.

Dynamic Estimation and Control of Power Systems coherently and concisely explains key concepts in a step by step manner, beginning with the fundamentals and building up to the latest developments of the field. Each chapter features examples to illustrate the main ideas, and effective research tools are presented for signal processing-based estimation of the dynamic states and subsequent control, both centralized and decentralized, as well as linear and nonlinear. Detailed mathematical proofs are included for readers who desire a deeper technical understanding of the methods.

This book is an ideal research reference for engineers and researchers working on monitoring and stability of modern grids, as well as postgraduate students studying these topics. It serves to deliver a clear understanding of the tools needed for estimation and control, while also acting as a basis for readers to further develop new and improved approaches in their own research.

Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.

Table of Contents

1. Introduction 2. Power System Modeling, Simulation, and Control Design 3. Centralized Dynamic Estimation and Control 4. Decentralized Dynamic Estimation Using PMUs 5. Dynamic Parameter Estimation of Analogue Voltage and Current Signals 6. Decentralized Dynamic Estimation Using CT/VTs 7. Control Based on Dynamic Estimation: Linear and Nonlinear Theories 8. Decentralized Linear Control Using DSE and ELQR 9. Decentralized Nonlinear Control Using DSE & Normal Forms 10. Conclusion A. Description of the 16-Machine, 68-Bus, 5-Area Test System B. Dynamic State Estimation Plots for Unit 3and Unit 9 C. Level-2S-Function Used in Integrated ELQR

Authors

Singh Abhinav Lecturer of Power Systems at the School of Electronics and Computer Science, University of Southampton, UK. Dr. Abhinav Kumar Singh is a lecturer of Power Systems at the School of Electronics and Computer Science, University of Southampton. He received his PhD from ICL in 2015. He is a recipient of the prestigious EPSRC Doctoral Prize Fellowship and IEEE Power and Energy Society Working Group Award for his contributions to power system modeling, estimation and control. Dr. Singh is a Member of IEEE and in this capacity has contributed to two Task Force reports, chaired sessions and presented tutorials. Bikash C. Pal Professor of Power Systems, Imperial College London, UK. Dr. Bikash Pal is Professor of Power Systems at the Department of Electrical and Electronic Engineering, Imperial College London, London. He is research active in dynamics, stability, estimation and control of power system dominated by renewable generations. At Imperial College London, he teaches various power system courses at the graduate and post graduate level