Wavelet fuzzy based fault location estimation in a three terminal transmission system
01 Jan 2015-pp 1-6
TL;DR: This paper presents a wavelet fuzzy based protection scheme for a three terminal transmission system, makes use of current signals at three ends of transmission line which are synchronized with the help of global position system clock.
Abstract: This paper presents a wavelet fuzzy based protection scheme for a three terminal transmission system, makes use of current signals at three ends of transmission line which are synchronized with the help of global position system clock. A wavelet based multi resolution analysis is used to find the detailed coefficients of the signals which are utilized to calculate fault index. These fault indices are compared with the threshold value to detect and classify faults on transmission system. The approximate decomposition of current signals is utilized to locate the fault using fuzzy logic from their respective terminals. The proposed algorithm has been tested successfully for various faults at different locations.
Citations
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TL;DR: DWT and DNN are utilised for fault location in a series-compensated three-terminal transmission line and the efficiency of algorithm is validated for symmetrical and unsymmetrical faults, and different values of fault resistance, inception angle, and location.
Abstract: In this study, discrete wavelet transform (DWT) and deep neural network (DNN) are utilised for fault location in a series-compensated three-terminal transmission line. The series compensation causes challenges in fault location schemes of the three-terminal transmission lines. The presented fault location method has been extensively tested using the SIMULINK model of a three-terminal transmission line. Features extracted from synchronous measurements of fault currents at the three terminals using DWT are fed to the DNN. Faulted section determination and fault distance calculation are carried out using a single intelligent network simultaneously. Faulted section is determined with 100% accuracy, and the efficiency of algorithm is validated for symmetrical and unsymmetrical faults, and different values of fault resistance, inception angle, and location. The accuracy of the algorithm is acceptable for large fault resistances (above 100 Ω) and fault inception angles near zero. Total mean error for test data is 0.0458% which is much improved with respect to other similar works.
35 citations
TL;DR: The proposed algorithm makes use of wavelet transform based approximate coefficients of three-phase voltage and current signals, obtained over a quarter cycle to detect, classify and locate various faults in multi-terminal transmission system.
27 citations
TL;DR: The lesser computational complexity, faster learning speed, superior fault location estimation accuracy, and short event detection time prove that the proposed POVMD–WPRVFLN method can be implemented in the real power system for online fault recognition.
21 citations
TL;DR: The proposed technique is validated during different multi location and transforming phase to ground faults with wide variations in fault resistance and fault inception angle and proves that the fault location method is correct and accurate.
Abstract: The faults occurring in different phases at multiple locations and different times are difficult to locate exact location using conventional techniques. This paper develops a fault location estimation approach using fuzzy inference system for multi location phase to ground faults and transforming phase to ground faults in six phase transmission (SPT) line. The six phase current data of SPT line are generated by MATLAB software and processed through butter worth filter, sampling and discrete fourier transform for distance locator. The proposed technique is dependent on single terminal data only. Mamdani fuzzy inference system is employed to make decision. Triangular membership functions are used to design input-output fuzzy sets. Fuzzy inference system has been deployed for the fault distance location using IF-THEN rules. The proposed technique is validated during different multi location and transforming phase to ground faults with wide variations in fault resistance and fault inception angle. Simulations and calculations with MATLAB prove that the fault location method is correct and accurate.
11 citations
01 Jan 2016
TL;DR: This paper presents the fault detection and classification for shunt faults on transmission lines with Static Synchronous Compensator (STATCOM) using fuzzy logic, which is able to detect and classify the faults for varying fault resistances and fault distances from the relaying point.
Abstract: This paper presents the fault detection and classification for shunt faults on transmission lines with Static Synchronous Compensator (STATCOM) using fuzzy logic. The fuzzy logic is implemented by using the fuzzy logic toolbox in MATLAB. The 500kV, 60Hz system is simulated using simulink and simpower systems toolbox in MATLAB. The proposed method uses only the three phase currents for fault detection and classification of faulted phase. The system is simulated for various shunt faults with different fault resistances and with different fault locations between 10 percent and 90 percent of the transmission line. The results from the simulation show that fuzzy logic based fault detector and classifier accurately detects and classifies the faults on transmission system. The proposed method is able to detect and classify the faults for varying fault resistances and fault distances from the relaying point.
8 citations
Cites methods from "Wavelet fuzzy based fault location ..."
...A wavelet fuzzy based protection scheme using current signals to find the estimated location of fault was presented in [4]....
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References
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TL;DR: In this paper, a novel method for fault location in multiterminal transmission lines is presented based on applying the S-transform to the modal components of synchronized measured currents at different terminals to extract time of arrival of the first arrived transient wave generated by the fault, which are then reported to a central processor where they are converted to distance indices and involved in a decision procedure.
Abstract: In this paper, a novel method for fault location in multiterminal transmission lines is presented. The method is based on applying the S-transform to the modal components of synchronized measured currents at different terminals to extract time of arrival of the first arrived transient wave generated by the fault. These arrival times are then reported to a central processor where they are converted to distance indices and involved in a decision procedure. The simulation results have shown good performance of the proposed method under different fault resistances, fault inception angles, fault locations (even on tap points), fault types, and faulted sections.
72 citations
TL;DR: Simulation results verify the accuracy and robustness of the proposed technique for multiterminal transmission lines and the computational burden is very low because it provides an analytical solution and avoids iterative computations.
Abstract: This paper presents a new fault-location technique for multiterminal transmission lines using the phasor measurement unit (PMU). A two-stage fault-location model is proposed, along with defining nodal current unbalance, a fault-location index. The first stage is the fault-line selector stage, which uses the nonzero elements of nodal current unbalance to determine the fault line. The second stage is used to identify the exact fault distance. The computational burden of the proposed technique is very low because it provides an analytical solution and avoids iterative computations. The performance of this technique is thoroughly evaluated under various fault conditions. Very promising simulation results verify the accuracy and robustness of the proposed technique for multiterminal transmission lines.
62 citations
"Wavelet fuzzy based fault location ..." refers methods in this paper
...A PMU based fault location technique for multi terminal transmission lines where twostage location model with nodal current unbalance as fault location index was proposed[8]....
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TL;DR: In this paper, the authors present the development and implementation in a computational routine of algorithms for fault location in multiterminal transmission lines, which are part of a fault-location system, which is capable of correctly identifying the fault point based on voltage and current phasor quantities, calculated by using measurements of voltage and currents from intelligent electronic devices, located on the transmission-line terminals.
Abstract: This research presents the development and implementation in a computational routine of algorithms for fault location in multiterminal transmission lines. These algorithms are part of a fault-location system, which is capable of correctly identifying the fault point based on voltage and current phasor quantities, calculated by using measurements of voltage and current signals from intelligent electronic devices, located on the transmission-line terminals. The algorithms have access to the electrical parameters of the transmission lines and to information about the transformers loading and their connection type. This paper also presents the development of phase component models for the power system elements used by the fault-location algorithms.
49 citations
01 Jan 1992
37 citations
TL;DR: Results of performance studies show that the proposed neural network-based module can improve the performance of conventional fault selection algorithms and is well suited for teed transmission circuit fault detection and classification.
Abstract: An accurate fault classification algorithm for Teed transmission Circuit based on application of artificial neural networks (ANN) is presented in this paper. The proposed algorithm uses the voltage and current signals of each section measured at one end of teed circuit to detect and classify Double line to ground faults. ANN has the ability to classify the nonlinear relationship between measured signals by identifying different patterns of the associated signals. The adaptive protection scheme based on application of ANN is tested for double line to ground faults, varying fault location, fault resistance and fault inception angle. An improved performance is experienced once the neural network is trained adequately, gives accurate results when faced with different system parameters and conditions. The entire test results clearly show that the fault is detected and classified within one cycle; thus the proposed adaptive protection technique is well suited for teed transmission circuit fault detection and classification. Results of performance studies show that the proposed neural network-based module can improve the performance of conventional fault selection algorithms.
19 citations