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Synopsis
The use of power system stabilizers has become very common in operation of large electric power systems.The conventional PSS which uses lead- lag compensation, where gain settings designed for specific operating conditions, is giving poor performance under different loading conditions. Therefore, it is very difficult to design a stabilizer that could present good performance in all operating points of electric power systems. In an attempt to cover a wide range of operating conditions, Fuzzy logic control has been suggested as a possible solution to overcome this problem, thereby using linguist information and avoiding a complex system mathematical model, while giving good performance under different operating conditions. Simulink Block Design and Matlab-7.5 is utilized in implementing the study. The performance of the system with fuzzy logic based power system stabilizer is compared with the system having conventional power system stabilizer and system without power system stabilizer.
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About the Author
He has done his B.E (elect. engg.),M.E (power system and drives) from Thapar University Patiala, Punjab, India, and also worked as lecturer there from 2008-2009. Prsesntly he is pursuing his PH.D from IIT Roorkee, India. His research interests include distributed generation technologies and AI techniques applied to power system stabilization.
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Fuzzy logic concepts in Power system stability
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LAP LAMBERT Academic Publishing Jul 2010, 2010
ISBN 10: 3838379489
ISBN 13: 9783838379487
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The use of power system stabilizers has become very common in operation of large electric power systems.The conventional PSS which uses lead- lag compensation, where gain settings designed for specific operating conditions, is giving poor performance under different loading conditions. Therefore, it is very difficult to design a stabilizer that could present good performance in all operating points of electric power systems. In an attempt to cover a wide range of operating conditions, Fuzzy logic control has been suggested as a possible solution to overcome this problem, thereby using linguist information and avoiding a complex system mathematical model, while giving good performance under different operating conditions. Simulink Block Design and Matlab-7.5 is utilized in implementing the study. The performance of the system with fuzzy logic based power system stabilizer is compared with the system having conventional power system stabilizer and system without power system stabilizer. 88 pp. Englisch. Seller Inventory # 9783838379487
Quantity: 2 available
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Fuzzy logic concepts in Power system stability : Power systems
Published by
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838379489
ISBN 13: 9783838379487
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The use of power system stabilizers has become very common in operation of large electric power systems.The conventional PSS which uses lead- lag compensation, where gain settings designed for specific operating conditions, is giving poor performance under different loading conditions. Therefore, it is very difficult to design a stabilizer that could present good performance in all operating points of electric power systems. In an attempt to cover a wide range of operating conditions, Fuzzy logic control has been suggested as a possible solution to overcome this problem, thereby using linguist information and avoiding a complex system mathematical model, while giving good performance under different operating conditions. Simulink Block Design and Matlab-7.5 is utilized in implementing the study. The performance of the system with fuzzy logic based power system stabilizer is compared with the system having conventional power system stabilizer and system without power system stabilizer. Seller Inventory # 9783838379487
Quantity: 1 available
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Fuzzy logic concepts in Power system stability
Published by
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838379489
ISBN 13: 9783838379487
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gupta NeerajHe has done his B.E (elect. engg.),M.E (power system and drives) from Thapar University Patiala, Punjab, India, and also worked as lecturer there from 2008-2009. Prsesntly he is pursuing his PH.D from IIT Roorkee, Indi. Seller Inventory # 5418225
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Fuzzy logic concepts in Power system stability
Published by
LAP LAMBERT Academic Publishing Jul 2010, 2010
ISBN 10: 3838379489
ISBN 13: 9783838379487
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. Neuware -The use of power system stabilizers has become very common in operation of large electric power systems.The conventional PSS which uses lead- lag compensation, where gain settings designed for specific operating conditions, is giving poor performance under different loading conditions. Therefore, it is very difficult to design a stabilizer that could present good performance in all operating points of electric power systems. In an attempt to cover a wide range of operating conditions, Fuzzy logic control has been suggested as a possible solution to overcome this problem, thereby using linguist information and avoiding a complex system mathematical model, while giving good performance under different operating conditions. Simulink Block Design and Matlab-7.5 is utilized in implementing the study. The performance of the system with fuzzy logic based power system stabilizer is compared with the system having conventional power system stabilizer and system without power system stabilizer.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Englisch. Seller Inventory # 9783838379487
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Fuzzy logic concepts in Power system stability: Power systems
Published by
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838379489
ISBN 13: 9783838379487
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