scholarly journals Fault identification in power cables by using travelling wave-based approach

2021 ◽  
Vol 12 (2) ◽  
pp. 855-865
Author(s):  
M.NagaJyothia, Et. al.
Keyword(s):  
Communication Channel ◽  
Fault Location ◽  
Travelling Waves ◽  
Travelling Wave ◽  
Fault Identification ◽  
Power Cable ◽  
Power Cables ◽  
Underground Cables ◽  
Ground Resistance ◽  
Types Of Faults

Thefaults in the underground cables cause to generatetransients which propagate along the power cable as travelling waves. The velocity of the generated travelling wave and the time taken by a wave to reach the source point from the fault location enables us to calculate the fault distance value.In this paper a double endedtravelling wave based approach is used and a communication channel is designed to calculate the fault distance. A circuit-based model is developed in the EMTP-RV software to find out the fault distance from the source end for all types of faults. Further it is proved that the fault distance is unaffected by the change in ground resistance, various types of faults and the fault inception angle in the proposed method

Travelling Wave-Based Fault Location Scheme for Aged Underground Cable Combined with Overhead Line

2005 ◽  
Vol 2 (2) ◽  
Author(s):  
Mahmoud I. Gilany ◽  
El Sayed M. Tag Eldin ◽  
Mohamed Mamdouh Abdel Aziz ◽  
Doaa K. Ibrahim
Keyword(s):  
Fault Location ◽  
Travelling Waves ◽  
Travelling Wave ◽  
Transmission Systems ◽  
Singularity Detection ◽  
Underground Cables ◽  
Overhead Lines ◽  
Underground Cable ◽  
On Line ◽  
Underground Power Cables

This paper presents a novel wavelet-based travelling wave fault location algorithm for aged underground cables in transmission systems. Such transmission systems consist of overhead lines combined with underground power cables. Applying the singularity detection feature of wavelets as a powerful signal processing tool, the first and second initial arrival of the voltage travelling waves at the first end of the overhead as well as at the terminal end of the aged cable line can be identified reliably without the need for detection the sign of these waves. In this paper modal signals, rather than the phase signals, are the inputs to the relay.The proposed algorithm is capable of eliminating the effect of the change in the propagation velocity of the travelling waves over the age of the cable. It can be used on-line following the operation of digital relays or off-line using the data stored in the digital transient recording apparatus. Extensive simulation studies carried out using ATP/EMTP show that the proposed algorithm provides an accepted degree of accuracy in fault location under different fault conditions.

Fault location in distribution network using travelling waves

2019 ◽  
Vol 13 (3) ◽  
pp. 651-669
Author(s):  
Ranjeet Kumar ◽  
D. Saxena
Keyword(s):  
Fault Detection ◽  
Electric Vehicle ◽  
Distributed Generation ◽  
Power Supply ◽  
Fault Location ◽  
Travelling Waves ◽  
Distribution Network ◽  
Travelling Wave ◽  
Content Type ◽  
Ev Charging

Purpose An electrical power distribution network is expected to deliver uninterrupted power supply to the customers. The disruption in power supply occurs whenever there is a fault in the system. Therefore, fast fault detection and its precise location are necessary to restore the power supply. Several techniques are proposed in the past for fault location in distribution network but they have limitations as their fault location accuracy depends on system conditions. The purpose of this paper is to present a travelling wave-based fault location method, which is fast, accurate and independent of system conditions. Design/methodology/approach This paper proposes an effective method for fault detection, classification and location using wavelet analysis of travelling waves for a multilateral distribution network embedded with distributed generation (DG) and electric vehicle (EV) charging load. The wavelet energy entropy (WEE) is used for fault detection and classification purpose, and wavelet modulus maxima (WMM) of aerial mode component is used for faulted lateral identification and exact fault location. Findings The proposed method effectively detects and classifies the faults, and accurately determines the exact fault location in a multilateral distribution network. It is also found that the proposed method is robust and its accuracy is not affected by the presence of distributed generation and electric vehicle charging load in the system. Originality/value Travelling wave based method for fault location is implemented for a multilateral distribution network containing distributed generation and electric vehicle load. For the first time, a fault location method is tested in the presence of EV charging load in distribution network.

Intelligent Online Monitoring and Anti-Theft System for Underground Cables

2015 ◽  
Vol 738-739 ◽  
pp. 256-259
Author(s):  
Xu Feng Tong ◽  
Jiao Na Zhang ◽  
Wen Ting Li ◽  
Dong Xia Zhang
Keyword(s):  
Power Management ◽  
Online Monitoring ◽  
High Reliability ◽  
Low Cost ◽  
Failure Detection ◽  
Power Cable ◽  
Power Cables ◽  
Underground Cables ◽  
Warning Messages ◽  
Online Monitoring System

Based on the characteristics of power cables, an intelligent online monitoring system is constructed for failure detection and positioning. The implementation idea is illustrated and the main functions of the system are introduced in this paper. When power cable is destroyed or stolen, the system will send warning messages to alert the power management department. The actual applications show that the system has the advantages of convenience, low cost and high reliability.

scholarly journals Fault Model and Travelling Wave Matching Based Single Terminal Fault Location Algorithm for T-Connection Transmission Line: A Yunnan Power Grid Study

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1506
Author(s):  
Hongchun Shu ◽  
Yiming Han ◽  
Ran Huang ◽  
Yutao Tang ◽  
Pulin Cao ◽  
...  
Keyword(s):  
Transmission Line ◽  
Computer Aided Design ◽  
Fault Location ◽  
Arrival Time ◽  
Travelling Waves ◽  
Complex Structure ◽  
Measurement Data ◽  
Travelling Wave ◽  
Electromagnetic Transients ◽  
Actual Measurement

Due to the complex structure of the T-connection transmission lines, it is extremely difficult to identify the reflected travelling wave from the fault point and that from the connection point by the measurement from only one terminal. According to the characteristics of the structure of the T-connection transmission line, the reflection of the travelling wave within the line after the failure of different sections in T-connection transmission line are analyzed. Based on the lattice diagram of the travelling wave, the sequence of travelling waves detected at the measuring terminal varies with the fault distance and the faulty section. Moreover, the sequence of travelling waves detected in one terminal is unique at each faulty section. This article calculates the arrival time of travelling waves of fault points at different locations in different sections to form the collection of the travelling wave arrival time sequence. Then the sequence of travelling waves of the new added fault waveforms is extracted to compare with the sequences in the collection for the faulty section identification and fault location. This proposed method can accurately locate the fault with different fault types, fault resistances and system impedances by only single-terminal fault data. Both Power Systems Computer Aided Design/ Electromagnetic Transients including DC (PSCAD/EMTDC) and actual measurement data are implemented to verify the effectiveness of this method.

A Distribution Network Fault Location Method Based on Reverse Wave and Wavelet Analysis

2015 ◽  
Vol 713-715 ◽  
pp. 1369-1372
Author(s):  
Xue Ming Zhai ◽  
Huan Xia ◽  
Long An
Keyword(s):  
Generating Functions ◽  
Fault Location ◽  
Single Phase ◽  
Travelling Waves ◽  
Distribution Network ◽  
Travelling Wave ◽  
Location Method ◽  
Ground Fault ◽  
Modulus Maximum ◽  
Network Fault

Based on the analysis of the transient process of the electric line’s developing ground fault, this paper applies the oppositely-directed travelling wave fault location method to fault location in distribution network. Simultaneously, this paper chooses proper wavelet generating functions to find the modulus maximum of oppositely-directed travelling waves and summarizes the methods and steps of this oppositely-directed travelling wave fault location. Finally, PSCAD/EMTDC is used to simulate the single-phase ground fault to verify the oppositely-directed travelling wave fault location method.

Underground Power Cable Construction

2016 ◽  
pp. 1-34
Keyword(s):  
Electric Energy ◽  
Power Cable ◽  
Power Cables ◽  
Underground Cables ◽  
Different Types ◽  
Materials Used ◽  
Underground Power Cable ◽  
Underground Power Cables ◽  
Transmission And Distribution

This chapter deals with many special features of underground power cables. Important points are presented in this chapter. In this chapter the various components of the different underground cables used in transmission and distribution of electric energy are explained. The materials used in the manufacture of these cables are given in details. This chapter also contains the different types of cable joints and terminations.

scholarly journals Development of a Wavelet – ANFIS Based Fault Location and Identification System for Underground Power Cables

2020 ◽  
Vol 9 (11) ◽  
pp. 35-41
Keyword(s):  
Fault Location ◽  
Power Transmission ◽  
Fuzzy Inference ◽  
Percentage Error ◽  
Identification System ◽  
Power Cables ◽  
Inference System ◽  
Underground Cables ◽  
Fuzzy Input ◽  
Underground Power Cables

Transmissionlinesare thebackboneof electricalpower systems and other power utilities as they are used for transmission and distribution of power. Power is distributed to the end-user through either overhead cables or underground cables. In the case of underground cables, their propensity to fail in service increases as they age with time. The increase in failure rates and system crashes on older underground power cables now negatively affect system reliability and involve numerous losses. It is therefore easy to realize that the consequences of this trend need to be managed [3]. Identification of the type of defects and their locations along the length ofthe cablesis vital to minimize the operating costs by reducing lengthy and expensive patrolsto locate the faults, and to speed up repairs and restoration of power in the lines. In this study, a method that combines wavelets and neurofuzzy techniques for faultlocation and identificationare proposed. For this methodology a power transmission line model was developed and different fault locations were simulated in MATLAB/SIMULINK, and, as an input to the training and development of the Adaptive Network Fuzzy Inference System (ANFIS), certain selected features of the wavelet transformed signals were used. Fault index obtained from wavelet transformation are used as input variable for fuzzy input block function. Different membership functions were observed within input block function. As per formulation of rules, for membership function, the output value of the defuzzifier component was decoded to give a crisp value of ANFIS output. ANFIS results were compared with actual values. A comparison of the ANFIS output values and the actual values show that the percentage error was less than 1%. Thus, it can be concluded that the wavelet-ANFIS technique is accurate enough to be used in identifying and locating underground power line faults. Which will help in solving this time taking and tedious problem more efficiently and thereby reducing human effort in finding the type of fault and its location.

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