scholarly journals Discrete Wavelet Transform Based Fault Analysis and Identification in Flexible HVDC Transmission System

Author(s):  
Zhiguo Zhou ◽  
Qiying Jin ◽  
Yi Zhang
2020 ◽  
Vol 93 (1-4) ◽  
pp. 10-18
Author(s):  
Sagnik Datta ◽  
Aveek Chattopadhyaya ◽  
Surajit Chattopadhyay ◽  
Arabinda Das

Line to Ground (LG) and Line to Line (LL) faults are the two most frequently encountered faults in any power system network. For the purpose of designing advanced protection systems, detection of the location as well as the identification of the type of fault, from a remote location is of paramount importance. In this paper a Discrete Wavelet Transform based statistical analysis has been carried out to detect the fault type and location of LG and LL faults. IEEE standard 9 bus system has been considered for this purpose. Faults are made to occur in the load buses and outgoing currents from the generator buses are analyzed by Discrete Wavelet Transform (DWT) as these current waveforms are non-stationary in nature. Statistical parameters are calculated from the approximate and detail coefficients which have been derived from the DWT. Based upon these parameters, a rule set has also been made. Simulation work is performed with the help of MATLAB. Methods proposed here can be helpful for designing better protection schemes.


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