Optimised Time for Travelling Wave Fault Locators in the Presence of Different Disturbances Based on Real-World Fault Data

The real-world travelling wave fault data investigated in this paper indicate disturbances generate unpredictable, non-stationary and random waveforms which may cause maloperation of protection and control elements in a power system including travelling wave fault locators (TWFL). This type of fault...

Full description

Saved in:
Bibliographic Details
Published in:IEEE open access journal of power and energy 2021, Vol.8, p.138-146
Main Authors: Parsi, Mahmood, Crossley, Peter A.
Format: Article
Language:English
Subjects:
Algorithms
Cost function
Digital signal processing
Discharges (electric)
Disturbances
Estimation
Fault location
Information processing
optimised time
power network faults
power system disturbance
Power transmission lines
real-world data
short-circuit fault
Signal processing algorithms
Transmission line measurements
Traveling wave tubes
Traveling waves
travelling wave fault location
travelling waves
Voltage
Voltage transformers
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The real-world travelling wave fault data investigated in this paper indicate disturbances generate unpredictable, non-stationary and random waveforms which may cause maloperation of protection and control elements in a power system including travelling wave fault locators (TWFL). This type of fault locator is directly dependent on the detection of an accurate time of arrival (ToA) of travelling waves (TW) generated by a fault. This detection becomes complicated in the presence of disturbances when their ToAs are detected earlier than the fault TWs. Since travelling waves occur in the high-frequency bands (e.g. >50 kHz), in this paper a capacitor voltage transformer is employed to measure the TW voltage signals; this involves acquiring the current flowing to the ground and removing the low-frequency components (50/60 Hz). Disturbances create high magnitude pulses in the pre-fault section of a TW fault signal that last for a short time. Therefore, the time when a TWFL starts its computations requires to be optimised so that the effect of the disturbances is eliminated. The analysis techniques mentioned in this paper are based on real-world travelling wave fault data, and the solution uses statistical tools, such as cost function, mean and standard deviation, alongside Digital Signal Processing algorithms.
ISSN:2687-7910
2687-7910
2644-1314
DOI:10.1109/OAJPE.2021.3069365