Algorithm for Fault Location and Classification on Parallel Transmission Line using Wavelet based on Clarke’s Transformation

Saini, Makmur; Zin, Abdullah Asuhaimi Mohd; Mustafa, Mohd Wazir; Sultan, Ahmad Rizal; Nur, Rusdi

doi:10.11591/ijece.v8i2.pp699-710

Cited by 14 publications

(8 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to the traveling wave theory [18][19][20], the voltage and current waves produced by the fault point F travel along both sides of the line at speed depending on the mode ≔ {0, , } considered as shown in Figure 3. Thus, we have:  Two forward waves (∆ ( − / ), ∆ ( − / )/2 = ∆ ( − / )/ ) moving towards the end .…”

Section: Proposed Approach For Fault Locationmentioning

confidence: 99%

Traveling wave based fault location for power transmission lines using morphological filters and clarke modal components

Khoudry¹,

Belfqih²,

Boukherouaa³

et al. 2020

IJECE

View full text Add to dashboard Cite

This article presents a fast and accurate fault location approach for power transmission lines based on the theory of traveling waves. In fact, when faults occur, they give rise to transient voltages and currents that propagate at a speed close to that of light along the transmission line as traveling waves. Moreover, according to the superposition theorem, each of these transients is a combination of a steady-state quantity and an incremental quantity. These transient signals measured at both ends of the line are first transformed to the Clarke (0-α-β components) components in order to categorize the type of faults, and then multi-scale morphological gradient filters are used to extract equivalent quantities to the incremental quantities to form what are called characteristic signals. These latter will be used to identify the fault location according to the proposed algorithm.

show abstract

Section: Proposed Approach For Fault Locationmentioning

confidence: 99%

Traveling wave based fault location for power transmission lines using morphological filters and clarke modal components

Khoudry¹,

Belfqih²,

Boukherouaa³

et al. 2020

IJECE

View full text Add to dashboard Cite

show abstract

“…These faults can be detected automatically using relays, which activates circuit breakers to isolate the faulty section of the transmission line. The combination of circuit breakers, relays and the appropriate relay coordination schemes using the traditional bus protection or artificial intelligence and expert systems [21][22][23][24][25] forms a protective system which may also incorporate automatic fault diagnosis and identification [26][27][28][29]. Protective devices and relays should be well coordinated to act fast and accurately to minimize damages when fault occurs [25,30].…”

Section: Power System Protectionmentioning

confidence: 99%

Power distribution system fault monitoring device for supply networks in Nigeria

Kareem¹,

Adekitan²,

Awelewa³

2019

IJECE

View full text Add to dashboard Cite

Electric power is the bedrock of our modern way of life. In Nigeria, power supply availability, sufficiency and reliability are major operational challenges. At the generation and transmission level, effort is made to ensure status monitoring and fault detection on the power network, but at the distribution level, particularly within domestic consumer communities there are no fault monitoring and detection devices except for HRC fuses at the feeder pillar. Unfortunately, these fuses are sometimes replaced by a copper wire bridge at some locations rendering the system unprotected and creating a great potential for transformer destruction on overload. This study is focused on designing an on-site power system monitoring device to be deployed on selected household entry power cables for detecting and indicating when phase off, low voltage, high voltage, over current, and blown fuse occurs on the building’s incomer line. The fault indication will help in reducing troubleshooting time and also ensure quick service restoration. After design implementation, the test result confirms design accuracy, device functionality and suitability as a low-cost solution to power supply system fault monitoring within local communities.

show abstract

“…Over the years, much research has been done on the various techniques for accurate fault location detection. Many methods use line data from one or more terminals for determining the fault locations and they can be categorized as analytical methods, artificial intelligence (AI) based methods, travelling wave methods and software based methods [5][6][7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Sub-Line Transient Magnetic Fields Calculation Approach for Fault detection, classification and location of High Voltage Transmission Line

Ghoniem¹

2019

ijeei

View full text Add to dashboard Cite

This paper uses ATP/EMTP to simulate different fault types as single line to ground fault, three phases to ground fault, double line fault, direct lightning strokes, and flashover for Egyptian Bassous-Cairo West 500 kV transmission line single circuit. By using 3D Biot-Savart Law technique, the measured current at sending end using substation optic fiber CT utilized for calculating transient magnetic field, and then certain comparing of selected features of the calculated transient magnetic field under different phases are used for fault detection and classification. The results show that the calculated transient magnetic field at sending end have unique shape for each abnormal condition, so it is very effective to extract the transient components from the fault signals, then detection and classification of faults can be done accurately. The fault location scheme is based on divide line length into sections each section contain only one sensor, then the comparison between measured transient magnetic field from installed non contact, 3-axis Magnetoresistance, magnetic field sensors at tower section sensors and calculated measured transient magnetic field from substation optic fiber CT. It was discovered that this method is able to offer high accuracy fault location.

show abstract

Algorithm for Fault Location and Classification on Parallel Transmission Line using Wavelet based on Clarke’s Transformation

Cited by 14 publications

References 27 publications

Traveling wave based fault location for power transmission lines using morphological filters and clarke modal components

Traveling wave based fault location for power transmission lines using morphological filters and clarke modal components

Power distribution system fault monitoring device for supply networks in Nigeria

Sub-Line Transient Magnetic Fields Calculation Approach for Fault detection, classification and location of High Voltage Transmission Line

Contact Info

Product

Resources

About