Detection and location of faults in underground cable using Matlab/Simulink/ANN and OrCad

Author

Hasija, Kunal ; Vadhera, Shelly ; Kumar, Abhishek ; Kishore, Anurag

Author_Institution

Dept. of Electr. Eng., Nat. Inst. of Technol., Kurukshetra, India

fYear

2014

Firstpage

1

Lastpage

5

Abstract

The paper deals with detection and location of faults in underground cable network. For precision a three step process is followed in this paper, with creation of transmission system model using a Matlab/Simulink and followed by creation of faults in the system. In second step the Fourier analyzed fault voltages and currents obtained from the SIMULINK model are fed to the training set of artificial neural network (ANN) in order to detect the type of fault. In the last step, an independent software OrCad is used to locate the fault distance from the either ends using the principle of time domain reflectometry in a simulated practical underground distribution system.

Keywords

Fourier analysis; fault location; learning (artificial intelligence); neural nets; time-domain reflectometry; underground cables; underground distribution systems; ANN; Fourier analysis; Matlab/Simulink; OrCad; artificial neural network training set; fault detection; fault location; three step process; time domain reflectometry; transmission system model; underground cable network; underground distribution system; Artificial neural networks; Circuit faults; Electrical engineering; Fault detection; Power cables; Software packages; Training; ANN; Faults; OrCad; Simulink; Time domain reflectometry; Underground cables;

fLanguage

English

Publisher

ieee

Conference_Titel

Power India International Conference (PIICON), 2014 6th IEEE

Print_ISBN

978-1-4799-6041-5

Type

conf

DOI

10.1109/34084POWERI.2014.7117624

Filename

7117624