Полное описание

Robinett, R. D. Nonlinear Power Flow Control Design : utilizing Exergy, Entropy, Static and Dynamic Stability, and Lyapunov Analysis / by Rush D. Robinett III, David G. Wilson. - London : Springer London, 2011. - on-line. - (Understanding Complex Systems, ISSN 1860-0832). - URL: http://dx.doi.org/10.1007/978-0-85729-823-2. - Загл. с экрана. - ISBN 978-0-85729-823-2. - Текст : электронный.
Содержание:
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.

ГРНТИ	УДК
44.29.29	621.311-047.56

Рубрики:
engineering
renewable energy resources
complexity, Computational
thermodynamics
heat engineering
heat transfer
mass transfer
control engineering
robotics
mechatronics
electrical engineering
power electronics
renewable energy sources
alternate energy sources
green energy industries
engineering
renewable and Green Energy
communications Engineering, Networks
control, Robotics, Mechatronics
engineering Thermodynamics, Heat and Mass Transfer
power Electronics, Electrical Machines and Networks
complexity

Аннотация: Nonlinear Powerflow Control Design presents an innovative control system design process motivated by renewable energy electric grid integration problems. The concepts developed result from the convergence of three research and development goals: • to create a unifying metric to compare the value of different energy sources – coal-burning power plant, wind turbines, solar photovoltaics, etc. – to be integrated into the electric power grid and to replace the typical metric of costs/profit; • to develop a new nonlinear control tool that applies power flow control, thermodynamics, and complex adaptive systems theory to the energy grid in a consistent way; and • to apply collective robotics theories to the creation of high-performance teams of people and key individuals in order to account for human factors in controlling and selling power into a distributed, decentralized electric power grid. All three of these goals have important concepts in common: exergy flow, limit cycles, and balance between competing power flows. In place of the typical zero-sum, stability vs. performance, linear controller design process, the authors propose a unique set of criteria to design controllers for a class of nonlinear systems with respect to both performance and stability, and seamlessly integrating information theoretic concepts. 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. Highlights of several of the case studies feature current renewable energy problems such as the future of electric power grid control, wind turbine load alleviation, and novel control designs for micro-grids that incorporate wind and sunlight as renewable energy sources. The sustainability of self-organizing systems are dealt with as advanced topics. Research scientists, practicing engineers, engineering students, and others with a background in engineering will be able to develop and apply this methodology to their particular problems.
Доп. точки доступа:
Wilson, D.

http://dx.doi.org/10.1007/978-0-85729-823-2

Держатели документа:
Государственная публичная научно-техническая библиотека России : 123298, г. Москва, ул. 3-я Хорошевская, д. 17 (Шифр в БД-источнике (KATBW): -349042789)

Шифр в сводном ЭК: 032dbe848f5a7a7d66f8e113c807b7d8

Просмотр издания