Distance Protection Settings Based Artificial Neural Network in Presence of TCSR on Electrical Transmission Line
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چکیده
منابع مشابه
Artificial Neural Network Based Fault Classifier for Transmission Line Protection
This paper presents a method for classification of transmission line faults based on Artificial Neural Network (ANN).Samples of prefault and postfault three phase currents taken at one end of transmission line are used as ANN inputs. Simulation studies have been carried out extensively on two power system models: one in which the transmission line is fed from one end and another, in which the t...
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Abstract—To determine the presence and location of faults in a transmission by the adaptation of protective distance relay based on the measurement of fixed settings as line impedance is achieved by several different techniques. Moreover, a fast, accurate and robust technique for real-time purposes is required for the modern power systems. The appliance of radial basis function neural network i...
متن کاملArtificial Neural Network based Fault Classifier and Locator for Transmission Line Protection
This paper presents a method for classification and location of transmission line faults based on Artificial Neural Network (ANN). Although for fault classification prefault and postfault three phase currents samples taken at one end of transmission line are used as ANN inputs, for location of faults post fault samples of both current and voltages of three phases are required . Simulation studi...
متن کاملImpact of Series FACTS Devices (GCSC, TCSC and TCSR) on Distance Protection Setting Zones in 400 kV Transmission Line
متن کامل
Effect of TCSR on Measured Impedance by Distance Protection in Presence Single Phase to Earth Fault
This paper presents the impact study of apparent reactance injected by series Flexible AC Transmission System (FACTS) i.e. Thyristor Controlled Series Reactor (TCSR) on the measured impedance of a 400 kV single electrical transmission line in the presence of phase to earth fault with fault resistance. The study deals with an electrical transmission line of Eastern Algerian transmission networks...
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ژورنال
عنوان ژورنال: International Journal of Intelligent Systems and Applications
سال: 2012
ISSN: 2074-904X,2074-9058
DOI: 10.5815/ijisa.2012.12.10