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Robust Control in Power Systems

By: Pal, Bikash [author.].
Contributor(s): Chaudhuri, Balarko [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Power Electronics and Power Systems: Publisher: Boston, MA : Springer US, 2005.Description: XXVI, 190 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9780387259505.Subject(s): Engineering | Electric power production | Applied mathematics | Engineering mathematics | Complexity, Computational | Control engineering | Robotics | Mechatronics | Electrical engineering | Power electronics | Engineering | Energy Technology | Electrical Engineering | Power Electronics, Electrical Machines and Networks | Control, Robotics, Mechatronics | Appl.Mathematics/Computational Methods of Engineering | ComplexityDDC classification: 621.042 Online resources: Click here to access online
Contents:
Power System Oscillations -- Linear Control in Power Systems -- Test System Model -- Power System Stabilizers -- Multiple-Model Adaptive Control Approach -- Simultaneous Stabilization -- Mixed-Sensitivity Approach Using Linear Matrix Inequalities -- Normalized ?? Loop-Shaping Using Linear Matrix Inequalities -- ?? Control For Time-Delayed Systems.
In: Springer eBooksSummary: Robust Control in Power Systems deals with the applications of new techniques in linear system theory to control low frequency oscillations in power systems. The book specifically focuses on the analysis and damping of inter-area oscillations in the systems which are in the range of 0.2-1 Hz. The damping control action is injected through high power electronic devices known as flexible AC transmission system (FACTS) controllers. Three commonly used FACTS controllers: controllable series capacitors (CSCs) controllable phase shifters (CPSs) and static var compensators (SVCs) have been used in this book to control the inter-area oscillations. The overview of linear system theory from the perspective of power system control is explained through examples. The damping control design is formulated as norm optimization problem. The H_infinity, H2 norm of properly defined transfer functions are minimized in linear matrix inequalities (LMI) framework to obtain desired performance and stability robustness. Both centralized and decentralized control structures are used. Usually the transmission of feedback signal from a remote location encounters delays making it difficult to control the system. Smith predictor based approach has been successfully explored in this book as a solution to such a problem. Robust Control in Power Systems will be valuable to academicians in the areas of power, control and system theory, as well as professionals in the power industry.
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E books E books PK Kelkar Library, IIT Kanpur
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Power System Oscillations -- Linear Control in Power Systems -- Test System Model -- Power System Stabilizers -- Multiple-Model Adaptive Control Approach -- Simultaneous Stabilization -- Mixed-Sensitivity Approach Using Linear Matrix Inequalities -- Normalized ?? Loop-Shaping Using Linear Matrix Inequalities -- ?? Control For Time-Delayed Systems.

Robust Control in Power Systems deals with the applications of new techniques in linear system theory to control low frequency oscillations in power systems. The book specifically focuses on the analysis and damping of inter-area oscillations in the systems which are in the range of 0.2-1 Hz. The damping control action is injected through high power electronic devices known as flexible AC transmission system (FACTS) controllers. Three commonly used FACTS controllers: controllable series capacitors (CSCs) controllable phase shifters (CPSs) and static var compensators (SVCs) have been used in this book to control the inter-area oscillations. The overview of linear system theory from the perspective of power system control is explained through examples. The damping control design is formulated as norm optimization problem. The H_infinity, H2 norm of properly defined transfer functions are minimized in linear matrix inequalities (LMI) framework to obtain desired performance and stability robustness. Both centralized and decentralized control structures are used. Usually the transmission of feedback signal from a remote location encounters delays making it difficult to control the system. Smith predictor based approach has been successfully explored in this book as a solution to such a problem. Robust Control in Power Systems will be valuable to academicians in the areas of power, control and system theory, as well as professionals in the power industry.

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