Time-Domain Fault Location Algorithm for Double-Circuit Transmission Lines Connected to Large Scale Wind Farms

Saber, Ahmed; Zeineldin, H. H.; EL-Fouly, Tarek H. M.; Al‐Durra, Ahmed

doi:10.1109/access.2021.3049484

Cited by 13 publications

(3 citation statements)

References 25 publications

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“…The cross-differential approach compares parallel circuit current phasor magnitudes. When two current phasors surpass the threshold value, it detects an inter-circuit fault [10], [11]. Cross differential protects the line from mutual coupling and responds faster than distance protection.…”

Section: Introductionmentioning

confidence: 99%

A versatile methodology for preventing a parallel transmission system using impedance-based techniques

Thakre¹,

Shriwastava²,

Mapari

et al. 2023

Bulletin EEI

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The various configurations that exist for a compatible circuit depend on an object, such as operating conditions, the occurrence of an inter-circuit error and the result of the coupling of the transmission line. This feature makes the protection of the same transmission lines very difficult. This paper introduces a new algorithm based on a state diagram that contains location data collected on a passing bus. Combine the different separation processes and the impedance-based process is used. The classification process cannot detect internal errors and only compares with existing phases where the same regional error occurs in the 2D space and the impedance-based method used to cover the resulting error. The proposed algorithm incorporates impedance-based methodology and separation technology to provide the appropriate response under all operating conditions of the same circuits.

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Section: Introductionmentioning

confidence: 99%

A versatile methodology for preventing a parallel transmission system using impedance-based techniques

Thakre¹,

Shriwastava²,

Mapari

et al. 2023

Bulletin EEI

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show abstract

“…T RANSMISSION line (TL) modeling had been widely studied in the last decades for fault detection [1], analysis of electromagnetic transients in the frequency domain [2], fault prevention [3], medicine [4], and other applications. Several TL models had been developed and implemented in software for the simulation of electromagnetic transients such as Alternative Transient Program -Electromagnetic Transients Program (ATP-EMTP), Power Systems Computer Aided Design (PSCAD), Electromagnetic Transients Program -Restructured Version (EMTP-RV), and others.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Modal Domain Transmission Line Models in the ATP Software

et al. 2022

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Electromagnetic Transients Program make extensive use of transmission line models for the simulation of electromagnetic transients. This paper proposes a circuit representation of the modal transformation, more specifically Clarke's matrix. The arrangement of ideal transformers we propose allows modal transformation to be directly implemented in software such as Alternative Transient Program -Electromagnetic Transients Program. We combined the proposed circuit with single-phase transmission line models that consider frequency independent and frequency dependent parameters to represent transposed three-phase transmission lines. The main advantage of the proposed approach is that it allows the implementation of new transmission line models without depending on models provided in applications. To show this capability, we included the frequency dependence of soil parameters in the simulations. Results show that the proposed model is accurate both in the frequency domain and in the time domain.

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“…A combination of TW and machine learning was introduced in [14], this method has some disadvantages not only it requires a large data and thousands of samples but also the accuracy decreases when the fault is further, in general, these methods have many advantages to summarize: They have a high accuracy, speed and reliability, in addition they are unaffected by load variations or high ground resistance however, the disadvantage of these methods is that they are costly and require high sampling frequencies ,some of two ends methods require additional devices or an implemented Global Positioning System (GPS)for synchronizing the signals at both ends [13,15]. Time domain methods depends on voltages and currents measurements [16,17]. exploitation of these measurements it varies, in [18] the authors introduce an instantaneous phase angles basedmethod, that works satisfactorily for high impedance fault and is robust to harmonics however requires a high samplings rate.…”

Section: Introductionmentioning

confidence: 99%

Intelligent fault diagnosis of power transmission line using fuzzy logic and artificial neural network

Touati¹,

Boudiaf²,

Merzouk³

et al. 2022

Diagnostyka

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In the industrial sector, transmission lines are an important part of the electrical grid. Thus it is important to protect it from all the different faults that may occur as soon as possible to supply the electric power continuously. This paper presents a modern solutions and a comparative study of fault detection and identification in electrical transmission lines using artificial neural network (ANN) compare to the fuzzy logic. Faults in transmission line of various types have been created using simulation model. An intelligent monitoring system (IFD: Intelligent Fault Diagnosis) was used at both ends of a 230 kV overhead transmission line, voltage and current measurements exploited as indicator data for this system. Both approaches were found to be robust, accurate and reliable to detect the fault when it occurs, to determine the fault type short circuit or opening of a power line (open circuit), to locate the fault and to determine which phase was faulted.

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Time-Domain Fault Location Algorithm for Double-Circuit Transmission Lines Connected to Large Scale Wind Farms

Cited by 13 publications

References 25 publications

A versatile methodology for preventing a parallel transmission system using impedance-based techniques

A versatile methodology for preventing a parallel transmission system using impedance-based techniques

Implementation of Modal Domain Transmission Line Models in the ATP Software

Intelligent fault diagnosis of power transmission line using fuzzy logic and artificial neural network

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