Distance Protection Application Based on Wavelet Transform and Traveling Wave Ranging

2012 ◽  
Vol 150 ◽  
pp. 40-44
Author(s):  
Peng Peng Kang ◽  
Xi Fang Zhu

This paper describes the wavelet transform theory, and traveling wave theory. When the power system transmission line fault occurs, the fault signal generated by sampling and analysis, and use a method of one-end fault distance measurement in transmission line. Finally the article gives the ranging devices’ hardware and software design.

2013 ◽  
Vol 448-453 ◽  
pp. 2025-2029
Author(s):  
Ning Ye ◽  
Yan Ren ◽  
Dai Yin Fu

This paper describes the modern Type D double-ended location principles and the wavelet modulus maxima theory and presents a principle and a scheme which bases on wavelet transform of the Type D double-ended traveling-wave distance protection for HVDC traveling line. Then set up a monopolar HVDC system and simulate it by PSCAD/EMTDC and Matlab. Simulation shows that this protection principle and scheme is right and feasible.


Author(s):  
KULKARNISAKEKAR SUMANT SUDHIR ◽  
R.P. HASABE

An appropriate method of fault detection and classification of power system transmission line using discrete wavelet transform is proposed in this paper. The detection is carried out by the analysis of the detail coefficients energy of phase currents. Discrete Wavelet Transform (DWT) analysis of the transient disturbance caused as a result of occurrence faults is performed. The work represented in this paper is focused on classification of simple power system faults using the maximum detail coefficient, energy of the signal and the ratio of energy change of each type of simple simulated fault are characteristic in nature and used for distinguishing fault types.


2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
A. H. Al-Mohammed ◽  
M. A. Abido

This paper presents a comprehensive survey on transmission and distribution fault location algorithms that utilize synchronized measurements. Algorithms based on two-end synchronized measurements and fault location algorithms on three-terminal and multiterminal lines are reviewed. Series capacitors equipped with metal oxide varistors (MOVs), when set on a transmission line, create certain problems for line fault locators and, therefore, fault location on series-compensated lines is discussed. The paper reports the work carried out on adaptive fault location algorithms aiming at achieving better fault location accuracy. Work associated with fault location on power system networks, although limited, is also summarized. Additionally, the nonstandard high-frequency-related fault location techniques based on wavelet transform are discussed. Finally, the paper highlights the area for future research.


2014 ◽  
Vol 705 ◽  
pp. 237-242
Author(s):  
Ramchandra P. Hasabe ◽  
Anil P. Vaidya

A new scheme to enhance the solution of the problems associated with Transmission line protection with Statcom connected is presentedin this paper.Static Synchronous Compensator (STATCOM) is a shunt type FACTS device connected at the midpoint of the transmission line to maintain the voltage atdesired level by injecting/absorbing the reactive power. This connection affects the performance of distance protection relay during line faults. Thefault detectionis carried out byusingenergy of the detail coefficients of the phase signals and artificial neutral network algorithm used for fault distance location for all thetypes of faults for transmission line. For each type of fault separate neural network is prepared for finding out the fault location.


2018 ◽  
Vol 7 (1.8) ◽  
pp. 144
Author(s):  
P Venkata Lakshmi ◽  
P N. S. Poojitha ◽  
Y Srinivasrao

Protection of transmission line is a complex in power system as the majority of the faults in power system are transmission faults. A proper protection is needed for transmission line for continuous power supply. To provide a strong as well as an efficient protection scheme, in this paper we are using wavelet technique and artificial neural network. By using these mentioned two techniques we can detect the faults in transmission line and also, we can classify the detected faults. Wavelet transform has strong mathematical, very fast and accurate tools for brief signal inside the transmission lines and synthetic neural network can make a unique between measured sign and associated signal that has different pattern. 


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