Identification Of Power Plant Processes Theory And Application
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Identification of Power Plant Processes - Theory and Application
The book presents non-standard approaches and algorithms for design, tuning, and modeling of power plant control systems in the environment of Matlab and its Toolboxes. The topic at hand is the identification of transfer functions of Single-Input Single-Output (SISO) - controlled processes, which may be described as dynamical links with self-regulating, or integrating, or differentiating properties. Within a framework of a single procedure, the nominal transfer function of the power process and the transfer functions uncertainties are identified, creating a basis for a robust approach. This textbook provides the necessary tools, guidance, and support for understanding and effective use of the modern methods of identification in the design, tuning, and optimization of power plant control systems. It can also serve as a theoretical background for creating software for these purposes.
Power Systems and Power Plant Control 1989
The control of power systems and power plants is a subject of growing interest which continues to sustain a high level of research, development and application in many diverse yet complementary areas, such as maintaining a high quality but economical service and coping with environmental constraints. The papers included within this volume provide the most up to date developments in this field of research.
Dynamics and Control in Nuclear Power Stations
Author: British Nuclear Energy Society
language: en
Publisher: Thomas Telford
Release Date: 1992
This volume covers a wider view of the aspects of control of nuclear power stations by taking into consideration the plant as a whole and the protection systems employed therein. Authors with world-wide experience consider all the aspects of dynamics and control in the context of both fast and thermal power stations. The topics discussed include both the methods of development and applications within - analysis of plant behaviour, validation of mathematical models, plant testing, design and implementation of controls.