Data Mining Approach for Fault Diagnosis of Power Systemby Wide Area Measurement, M.Sc. Thesis Sharif University of Technology ; Ranjbar, AliMohammad (Supervisor)
Abstract
Fast and accurate fault diagnosis has a significant role in the power system operation. For a power system to come back to the normal state, the precise fault diagnosis is necessary. The current practice in power system fault diagnosis needs operators in the control center to use data of PR and CB in order to infer the faulted section based on their experiences. Expert systems and artificial intelligence have been suggested as alternatives to the human expert experience and inference. Other model- and optimization-based methods have also been reported for fault diagnosis, provided that similar data is available from the SCADA system.Nevertheless, in large disturbances resulting in partial or...
Cataloging briefData Mining Approach for Fault Diagnosis of Power Systemby Wide Area Measurement, M.Sc. Thesis Sharif University of Technology ; Ranjbar, AliMohammad (Supervisor)
Abstract
Fast and accurate fault diagnosis has a significant role in the power system operation. For a power system to come back to the normal state, the precise fault diagnosis is necessary. The current practice in power system fault diagnosis needs operators in the control center to use data of PR and CB in order to infer the faulted section based on their experiences. Expert systems and artificial intelligence have been suggested as alternatives to the human expert experience and inference. Other model- and optimization-based methods have also been reported for fault diagnosis, provided that similar data is available from the SCADA system.Nevertheless, in large disturbances resulting in partial or...
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