Enhancing the performance of transmission line directional relaying, fault classification and fault location schemes using fuzzy inference system

Yadav, Anamika; Swetapadma, Aleena

doi:10.1049/iet-gtd.2014.0498

Cited by 89 publications

(52 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This method analyzes the circuits at both sides of the fault point (see Equation (22)). This analysis can be rewritten in matrix form, according to the Equation (23).…”

Section: Girgis Et Al Methodsmentioning

confidence: 99%

“…Traditionally, these techniques apply direct analysis over symmetrical components [20] or use spectral analysis (such as FFT [18] or DWT [21]) to extract the fault features. These studies are commonly supported by computational intelligence, such as Artificial Neural Networks (ANNs) [22], Fuzzy Logic (FL) [23], Decision Trees (DTs) [24] or Support Vector Machines (SVMs) [25].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Comparison of Impedance-Based Fault Location Methods for Power Underground Distribution Systems

et al. 2016

View full text Add to dashboard Cite

Abstract:In the last few decades, the Smart Grid paradigm presence has increased within power systems. These new kinds of networks demand new Operations and Planning approaches, following improvements in the quality of service. In this sense, the role of the Distribution Management System, through its Outage Management System, is essential to guarantee the network reliability. This system is responsible for minimizing the consequences arising from a fault event (or network failure). Obviously, knowing where the fault appears is critical for a good reaction of this system. Therefore, several fault location techniques have been proposed. However, most of them provide individual results, associated with specific testbeds, which make the comparison between them difficult. Due to this, a review of fault location methods has been done in this paper, analyzing them for their use on underground distribution lines. Specifically, this study is focused on an impedance-based method because their requirements are in line with the typical instrumentation deployed in distribution networks. This work is completed with an exhaustive analysis of these methods over a PSCAD TM X4 implementation of the standard IEEE Node Test Feeder, which truly allows us to consistently compare the results of these location methods and to determine the advantages and drawbacks of each of them.

show abstract

“…This method analyzes the circuits at both sides of the fault point (see Equation (22)). This analysis can be rewritten in matrix form, according to the Equation (23).…”

Section: Girgis Et Al Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Comparison of Impedance-Based Fault Location Methods for Power Underground Distribution Systems

et al. 2016

View full text Add to dashboard Cite

show abstract

“…The fault classification algorithms identify various fault types based on sample values of voltage and current signals compared with their predefined values in [15] and time frequency characteristics of fault waveforms in [16]. Moreover, to enhance performance of directional relaying, fuzzy inference system is used to detect fault type with the help of magnitude of fundamental current and voltage signals [17]. Moreover, combined fuzzy logic and DWT based on the high system reactance to resistance ratio [18] and fuzzy logic based on prefault current and the variation of current [19] are proposed as well.…”

Section: Introductionmentioning

confidence: 99%

A high frequency reflected current signals-based fault type identification method

Myint

Wichakool

2020

IJEECS

View full text Add to dashboard Cite

The main objective of this paper is to identify fault type and faulted phase focus on the time delay values of reflected phase and modal current signals. The proposed method identifies fault type with the help of amplitude maxima of detail wavelet coefficient of residual current. The time delay values of phase and modal current reflected signals are used to detect faulty phase instead of using threshold values. Using time delay as a fault type identification parameter is achieved to save the overall protection system operating time because time delay is also the main feature of traveling wave fault location method. Moreover, to ensure the applied wavelet filter, the proposed algorithm is tested with the detail information of the three mother wavelets, such as db4, db6 and db8 and chosen the highest classification accuracy. Various disturbance events were tested with changing different possible fault types, faulted-feeders, fault resistances, fault locations and fault inception times on a loop distribution system. The robustness of the proposed faulted phase selection algorithm is performed through MATLAB Simulation.

show abstract

“…This method of compensation gives the suitable results during phase impedance calculations but still needs improvement in adaptive calculation of resistive reach of relay. M. Pasand et al [24] and A. Yadav [25] described adaptive decision logic to enhance distance protection of transmission line. However, during occurrence of high resistance faults, delayed tripping of numerical relay cannot be avoided by the said algorithms.…”

Section: Introductionmentioning

confidence: 99%

Adaptive quadrilateral distance relaying scheme for fault impedance compensation

Patel

Chothani

Bhatt

2018

Electrical, Control and Communication Engineering

View full text Add to dashboard Cite

Impedance reach of numerical distance relay is severely affected by Fault Resistance (RF), Fault Inception Angle (FIA), Fault Type (FT), Fault Location (FL), Power Flow Angle (PFA) and series compensation in transmission line. This paper presents a novel standalone adaptive distance protection algorithm for detection, classification and location of fault in presence of variable fault resistance. It is based on adaptive slope tracking method to detect and classify the fault in combination with modified Fourier filter algorithm for locating the fault. To realize the effectiveness of the proposed technique, simulations are performed in PSCAD using multiple run facility & validation is carried out in MATLAB® considering wide variation in power system disturbances. Due to adaptive setting of quadrilateral characteristics in accordance with variation in fault impedance, the proposed technique is 100 % accurate for detection & classification of faults with error in fault location estimation to be within 1 %. Moreover, the proposed technique provides significant improvement in response time and estimation of fault location as compared to existing distance relaying algorithms, which are the key attributes of multi-functional numerical relay.

show abstract

Enhancing the performance of transmission line directional relaying, fault classification and fault location schemes using fuzzy inference system

Cited by 89 publications

References 32 publications

A Comparison of Impedance-Based Fault Location Methods for Power Underground Distribution Systems

A Comparison of Impedance-Based Fault Location Methods for Power Underground Distribution Systems

A high frequency reflected current signals-based fault type identification method

Adaptive quadrilateral distance relaying scheme for fault impedance compensation

Contact Info

Product

Resources

About