This book considers the problem of oscillations in synchronous generator connected to infinite bus through transmission lines. Two control techniques namely; artificial neural networks and fuzzy logic will be used to cancel the oscillations in the synchronous generators. Simulation results of applying external disturbances to the synchronous generator controlled by the proposed fuzzy logic controllers are compared to results obtained by using neural network controllers. These controllers based on excitation control are used to improve the performance of the synchronous generator. The simulation results show the advantages and the improvements with using the proposed fuzzy logic controllers over using the proposed neural network controllers. The potentials of the proposed techniques are investigated in time and frequency domains by using MATLAB software package.
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This book considers the problem of oscillations in synchronous generator connected to infinite bus through transmission lines. Two control techniques namely; artificial neural networks and fuzzy logic will be used to cancel the oscillations in the synchronous generators. Simulation results of applying external disturbances to the synchronous generator controlled by the proposed fuzzy logic controllers are compared to results obtained by using neural network controllers. These controllers based on excitation control are used to improve the performance of the synchronous generator. The simulation results show the advantages and the improvements with using the proposed fuzzy logic controllers over using the proposed neural network controllers. The potentials of the proposed techniques are investigated in time and frequency domains by using MATLAB software package.
Moath Alqatamin,Msc in Electrical Engineering from Jordan University of Science and Technology, Jordan, 2010. Lecturer at Electrical Engineering Department, King Khalid University, KSA. Areas of research include Artificial Neural Networks and Fuzzy Logic theories applied to power systems and Renewable Energy systems.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book considers the problem of oscillations in synchronous generator connected to infinite bus through transmission lines. Two control techniques namely; artificial neural networks and fuzzy logic will be used to cancel the oscillations in the synchronous generators. Simulation results of applying external disturbances to the synchronous generator controlled by the proposed fuzzy logic controllers are compared to results obtained by using neural network controllers. These controllers based on excitation control are used to improve the performance of the synchronous generator. The simulation results show the advantages and the improvements with using the proposed fuzzy logic controllers over using the proposed neural network controllers. The potentials of the proposed techniques are investigated in time and frequency domains by using MATLAB software package. 92 pp. Englisch. Nº de ref. del artículo: 9783659644320
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book considers the problem of oscillations in synchronous generator connected to infinite bus through transmission lines. Two control techniques namely; artificial neural networks and fuzzy logic will be used to cancel the oscillations in the synchronous generators. Simulation results of applying external disturbances to the synchronous generator controlled by the proposed fuzzy logic controllers are compared to results obtained by using neural network controllers. These controllers based on excitation control are used to improve the performance of the synchronous generator. The simulation results show the advantages and the improvements with using the proposed fuzzy logic controllers over using the proposed neural network controllers. The potentials of the proposed techniques are investigated in time and frequency domains by using MATLAB software package. Nº de ref. del artículo: 9783659644320
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Alqatamin MoathMoath Alqatamin,Msc in Electrical Engineering from Jordan University of Science and Technology, Jordan, 2010. Lecturer at Electrical Engineering Department, King Khalid University, KSA. Areas of research include Artifi. Nº de ref. del artículo: 5170630
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