Dynamic Estimation and Control of Power Systems

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.

• Offers the first concise, single resource on dynamic estimation and control of power systems
• Provides both an understanding of estimation and control concepts and a comparison of results
• Includes detailed case-studies, including MATLAB codes, to explain and demonstrate the concepts presented

Power system engineers and researchers, electrical engineers and engineering researchers, solar energy engineers and those working in the implementation of efficient power systems

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