A Hybrid Framework for Fault Detection, Classification, and Location—Part II: Implementation and Test Results

Jiang, Joe‐Air; Chuang, Chen-Lian; Wang, Yung-Chung; Hung, Chih‐Hung; Wang, Jiing-Yi; Lee, Chien-Hsing; Hsiao, Ying-Tung

doi:10.1109/tpwrd.2011.2141158

Cited by 48 publications

(16 citation statements)

References 5 publications

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“…However, most research work focus on transmission line fault location (e.g., [16][17][18][19][20][21]). A few research papers have dealt with wide-area fault detection of transmission lines (e.g., [22][23][24][25][26]). The technique presented in [22] compares positive-sequence voltage magnitudes of buses to find the bus nearest to the faulty line.…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, the backup protection may not operate in this case. In , negative‐sequence components of voltage and current are employed for fault detection, while different methods including support vector machines, multilevel wavelet transform, artificial neural network, principal component analysis are incorporated to determine the fault location and identify the fault type. In this technique, PMUs are required to be connected to each bus, and manual retraining is required.…”

Section: Introductionmentioning

confidence: 99%

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A backup wide‐area protection technique for power transmission network

Elghazaly

Emam

Saber

2017

IEEJ Transactions Elec Engng

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This paper proposes a wide‐area backup protection technique for transmission lines using a limited number of synchronized phasor measurement units. A binary integral linear programming is used for optimal placement of phasor measurement units to achieve fault observability. The positive‐sequence voltage and current components are utilized for the detection and location of transmission lines faults. The proposed technique considers the randomness of faults on the transmission grid, different fault types, frequency fluctuations, synchronization and measurement errors, different fault inception angles, and different fault resistances, as well as various loading conditions. The proposed scheme is applied to the Western System Coordinating Council (WSCC) 9‐bus test system and the New England 39‐bus test system. Simulation results prove that the proposed protection scheme can detect and locate all transmission line faults correctly. © 2017 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A backup wide‐area protection technique for power transmission network

Elghazaly

Emam

Saber

2017

IEEJ Transactions Elec Engng

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“…Diverse protecting mechanisms of transmission lines have been proposed earlier to detect and classify fault utilizing high frequency noise generated by fault and NNs [5], initial current travelling wave technique [6], wavelet transform [7], wavelet fuzzy combined approach [8], high speed protective relaying using ANN architecture and digital signal processing concepts. [9], modular yet integrated approach using modified Kohonen-type neural network [10], combined supervised and unsupervised neural network with ISODATA clustering algorithm [11], RBF NN with OLS learning method [12] and Combined fuzzy neural network [13][14][15][16] wavelet analysis and ANN [17][18][19], ANN Approach [20][21][22][23][24][25]. However these techniques did not identify the fault direction and section.…”

Section: Introductionmentioning

confidence: 99%

ANN based directional relaying scheme for protection of Korba-Bhilai transmission line of Chhattisgarh state

Yadav

Dash

Ashok

2016

Prot Control Mod Power Syst

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As it is crucial to protect the transmission line from inevitable faults consequences, intelligent scheme must be employed for immediate fault detection and classification. The application of Artificial Neural Network (ANN) to detect the fault, identify it's section, and classify the fault on transmission lines with improved zone reach setting is presented in this article. The fundamental voltage and current magnitudes obtained through Discrete Fourier Transform (DFT) are specified as the inputs to the ANN. The relay is placed at section-2 which is the prime section to be protected. The ANN was trained and tested using diverse fault datasets; obtained from the simulation of different fault scenarios like different types of fault at varying fault inception angles, fault locations and fault resistances in a 400 kV, 216 km power transmission network of CSEB between Korba-Bhilai of Chhattisgarh state using MATLAB. The simulation outcomes illustrated that the entire shunt faults including forward and reverse fault, it's section and phase can be accurately identified within a half cycle time. The advantage of this scheme is to provide a major protection up to 99.5% of total line length using single end data and furthermore backup protection to the forward and reverse line sections. This routine protection system is properly discriminatory, rapid, robust, enormously reliable and incredibly responsive to isolate targeted fault.

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“…Un sistema híbrido que utiliza diversos algoritmos es descrito en [7] y [8]. Este sistema propone la detección, clasificación y localización del punto de falla al mismo tiempo C. González, E. Vázquez, Member, IEEE and F. Sellschopp Fault Location Diagnosis Based In Synchronized Phasor Measurements E y en un marco de tiempo de ciclos de la frecuencia fundamental; se utilizan los algoritmos de análisis de componentes simétricas, transformadas wavelets multinivel, análisis de componente principal, máquinas de soporte vectorial y redes neuronales de estructura adaptiva.…”

Section: Introductionunclassified

Fault location diagnosis based on synchronized phasor measurements

González

Vázquez

Sellschopp

2015

IEEE Latin Am. Trans.

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The power systems are exposed to various types of faults that can cause disturbances. A fast restoration of faulted elements can reduce the possibility of a major disturbance, but it is necessary to determine the location of the fault. This paper describes a method for the fault location diagnosis combining information of synchronized phasor measurements and the principal component analysis as statistical analysis of the data. Results are presented for the location of fault diagnosis for various cases using the IEEE 39 bus system.

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A Hybrid Framework for Fault Detection, Classification, and Location—Part II: Implementation and Test Results

Cited by 48 publications

References 5 publications

A backup wide‐area protection technique for power transmission network

A backup wide‐area protection technique for power transmission network

ANN based directional relaying scheme for protection of Korba-Bhilai transmission line of Chhattisgarh state

Fault location diagnosis based on synchronized phasor measurements

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