Loading...
Search for: ranjbar--alimohammad
0.009 seconds

    PMU Based Fault Location on Transmission Lines

    , M.Sc. Thesis Sharif University of Technology Salimi, Saeed (Author) ; Ranjbar, Alimohammad (Supervisor)
    Abstract
    One of the most essential part of power system are transmission lines. Transmission of power from production centers to consumption centers is duty of these lines. Any disturbance in this duty make great losses to producers and consumers. One of the most disturbance in transmission lines are short circuits that occurred because of various causes. Most faults on transmission lines occurred in stormy weather that make more troubles for fault search. So we need a tool that can find location of fault precisely and quickly. This tool named fault locator. There are many algorithms for fault location and detection on power system transmission lines. These algorithms usually are dependent on very... 

    Data Mining Approach for Fault Diagnosis of Power Systemby Wide Area Measurement

    , M.Sc. Thesis Sharif University of Technology Zamani Dehkordi, Payam (Author) ; 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...