Excitation Control of Synchronous Generators
Work Based on Neural Networks and Fuzzy Logic
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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 simulatio...
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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