A fuzzy-set approach to fault-type identification in digital relaying

Ferrero, Alessandro; Sangiovanni, S.; Zappitelli, E.

doi:10.1109/61.368401

Cited by 134 publications

(34 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Protection algorithms using several principles in combination are used for transformer and transmission systems to obtain improved relay performance [15][16][17][18]. It is understood that a technique using a single feature is not good enough for directional relaying for a series-compensated line for all conditions.…”

Section: Introductionmentioning

confidence: 99%

Directional Relaying of Series-compensated Line Using an Integrated Approach

Biswal¹,

Pati²,

Pradhan³

2012

Electric Power Components and Systems

View full text Add to dashboard Cite

This article presents a directional relaying algorithm based on a voting technique for the protection of a series-compensated line where the capacitors are present at both the ends of the line. The directional relaying issues in a seriescompensated line related to voltage inversion, current inversion, high-resistance fault, and load change are addressed. Four classifiers based on positive-and negativesequence components are selected and integrated using the voting technique to derive the final decision. The technique is evaluated using data simulated with EMTDC/ PSCAD (Manitoba Hydro) for a series-compensated line, and the dynamic performance of the algorithm is also studied. The integration approach is found to be advantageous.

show abstract

Section: Introductionmentioning

confidence: 99%

Directional Relaying of Series-compensated Line Using an Integrated Approach

Biswal¹,

Pati²,

Pradhan³

2012

Electric Power Components and Systems

View full text Add to dashboard Cite

show abstract

“…Recently, some techniques have been proposed for this problem, such as; wavelet transform based techniques [1][2][3], neural network based techniques [4][5] and fuzzy logic techniques [6][7]. These techniques are also combined because of the developments and conditions of power systems and they have their own advantages and disadvantages [8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

An ANFIS-Based Fault Classification Approach in Double-Circuit Transmission Line Using Current Samples

Jarrahi

Samet

Raayatpisheh

et al. 2015

Advances in Computational Intelligence

View full text Add to dashboard Cite

Abstract. Transmission line protective relaying is an essential feature of a reliable power system operation. Fast detecting, isolating, locating and repairing of the different faults are critical in maintaining a reliable power system operation. On the other hand, classification of the different fault types plays very significant role in digital distance protection of the transmission line. Accurate and fast fault classification can prevent from more damages in the power system. In this paper, an approach is presented to classify the fault in a double-circuit transmission line based on the adaptive Neuro-Fuzzy Inference System (ANFIS) using three phase current samples of only one terminal. This method is independent of effects of variation of fault inception angle, fault location, fault resistance and load angle. MATLAB/Simulink is used to produce fault signals. The proposed method is tested by simulating different scenarios on a given transmission line model. The simulation results denote that the proposed approach for fault identification is able to classify all the faults on the parallel transmission line within half cycle after the inception of fault.

show abstract

“…The use of fuzzy algebra rules in the process of aggregation of different in nature and reliability protection criteria enables easy realization of multi-criteria decisionmaking. Sample applications of this approach to power system protection include fault type identification [6], multi-criteria protection of power transformers [7], etc.…”

Section: Fuzzy Logic Inference Methodsmentioning

confidence: 99%

Fuzzy logic application to out-of-step protection of generators

Rebizant

Feser

2001

2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262)

View full text Add to dashboard Cite

Efficient protection scheme against out-of-step (OS) conditions based on fuzzy logic (FL) technique is presented. The protection proposed makes use of an adaptive-network-based fuzzy inference system (ANFIS). The FL-based OS protection scheme developed has been thoroughly optimized and tested with ATP-generated case signals. The scheme designed displays almost perfect efficiency and high speed of OS detection. With the scheme designed the OS cases are identified much earlier comparing to standard impedance-based protection schemes. Wide robustness features of the ANFIS-based scheme have also been achieved.

show abstract

A fuzzy-set approach to fault-type identification in digital relaying

Cited by 134 publications

References 5 publications

Directional Relaying of Series-compensated Line Using an Integrated Approach

Directional Relaying of Series-compensated Line Using an Integrated Approach

An ANFIS-Based Fault Classification Approach in Double-Circuit Transmission Line Using Current Samples

Fuzzy logic application to out-of-step protection of generators

Contact Info

Product

Resources

About