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Synopsis
"Power System Coherency and Model Reduction" provides a comprehensive treatment for understanding interarea modes in large power systems and obtaining reduced-order models using the coherency concept and selective modal analysis method. Both linear and nonlinear analysis methods are covered. This is a reference book for researchers interested in interarea oscillations and model reduction, and power engineers in developing reduced models for power system studies and control design.
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About the Author
Joe H. Chow is at the Rensselaer Polytechnic Institute, Troy, NY USA.
From the Back Cover
"Power System Coherency and Model Reduction" provides a comprehensive treatment for understanding interarea modes in large power systems and obtaining reduced-order models using the coherency concept and selective modal analysis method.
Both linear and nonlinear analysis methods are covered. The ideas in this book are important for designing damping control of interarea modes. Small system examples to illustrate the concepts and large power system examples to illustrate practical applications of the method are included. This is an important reference book for researchers interested in interarea oscillations and model reduction, and power engineers in developing reduced models for power system studies and control design.
"About this title" may belong to another edition of this title.
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Power System Coherency and Model Reduction (Power Electronics and Power Systems, 94)
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Power System Coherency and Model Reduction
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'Power System Coherency and Model Reduction' provides a comprehensive treatment for understanding interarea modes in large power systems and obtaining reduced-order models using the coherency concept and selective modal analysis method. Both linear and nonlinear analysis methods are covered. This is a reference book for researchers interested in interarea oscillations and model reduction, and power engineers in developing reduced models for power system studies and control design. 312 pp. Englisch. Seller Inventory # 9781489995124
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Power System Coherency and Model Reduction
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides methods to identify coherent machines and develop reduced order models Discusses a model reduction program suitable for large power systems Provides engineering insights in using coherency and model reduction methodsProvides . Seller Inventory # 33853528
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Power System Coherency and Model Reduction
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 'Power System Coherency and Model Reduction' provides a comprehensive treatment for understanding interarea modes in large power systems and obtaining reduced-order models using the coherency concept and selective modal analysis method. Both linear and nonlinear analysis methods are covered. This is a reference book for researchers interested in interarea oscillations and model reduction, and power engineers in developing reduced models for power system studies and control design. Seller Inventory # 9781489995124
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Power System Coherency and Model Reduction
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Springer New York, Springer New York Jun 2015, 2015
ISBN 10: 1489995129
ISBN 13: 9781489995124
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Taschenbuch. Condition: Neu. Neuware -'Power System Coherency and Model Reduction' provides a comprehensive treatment for understanding interarea modes in large power systems and obtaining reduced-order models using the coherency concept and selective modal analysis method. Both linear and nonlinear analysis methods are covered. This is a reference book for researchers interested in interarea oscillations and model reduction, and power engineers in developing reduced models for power system studies and control design.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 312 pp. Englisch. Seller Inventory # 9781489995124
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Power System Coherency and Model Reduction
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Power System Coherency and Model Reduction (Power Electronics and Power Systems, 94)
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