Nonlinear power flow control design : utilizing exergy, entropy, static and dynamic stability, and Lyapunov analysis
Author(s)
Bibliographic Information
Nonlinear power flow control design : utilizing exergy, entropy, static and dynamic stability, and Lyapunov analysis
（Understanding complex systems / founding editor, J.A. Scott Kelso）
Springer, 2011
Available at 3 libraries
Note
Includes bibliographical references and index
Description and Table of Contents
Description
This book presents an innovative control system design process motivated by renewable energy electric grid integration problems. The concepts developed result from the convergence of research and development goals which have important concepts in common: exergy flow, limit cycles, and balance between competing power flows.
A unique set of criteria is proposed to design controllers for a class of nonlinear systems. A combination of thermodynamics with Hamiltonian systems provides the theoretical foundation which is then realized in a series of connected case studies. It allows the process of control design to be viewed as a power flow control problem, balancing the power flowing into a system against that being dissipated within it and dependent on the power being stored in it - an interplay between kinetic and potential energies. Human factors and the sustainability of self-organizing systems are dealt with as advanced topics.
Table of Contents
Part I: Theory.- Introduction.- Thermodynamics.- Mechanics.- Stability.- Advanced Control Design.- Part II: Applications: Case Studies.- Case Study 1: Control Design Issues.- Case Study2: Collective Plume Tracing: A Minimal Information Approach to Collective Control.- Case Study 3: Nonlinear Aeroelasticity.- Case Study 4: Fundamental Power Engineering.- Case Study#5: Renewable Energy Microgrid Design.- Case Study 6: Robotic Manipulator Design and Control.- Case Study 7: Satellite Rendezvous and Docking Control.- Case Study 8: Other.- Part III: Advanced Topics.- Sustainability of Self-organizing Systems.- Analytical Model of a Person and Teams: Control System Approach.
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