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Fault location technique using GA-ANFIS for UHV line

G. Banu S. Suja
Archives of Electrical Engineering | 2014 | vol. 63 | No 2 June | 247-262 | DOI: 10.2478/aee-2014-0019
Keywords GA – ANFIS fault location Fault resistance one end data UHV line
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Abstract

This paper presents an improved approach for locating and identifying faults for UHV overhead Transmission line by using GA-ANFIS. The proposed method uses one end data to identify the fault location. The ANFIS can be viewed either as a Fuzzy system, neural network or fuzzy neural network FNN. The integration with neural technology enhances fuzzy logic system on learning capabilities are proposed to analyze the UHV system under different fault conditions. The performance variation of two controllers in finding fault location is analyzed. This paper analyses various faults under different conditions in an UHV using Matlab/simulink. The proposed method is evaluated under different fault conditions such as fault inception angle, fault resistance and fault distance. Simulation results confirm that the proposed method can be used as an efficient for accurate fault location on the transmission line.

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Authors and Affiliations

G. Banu
S. Suja

Finding of optimal excitation signal for testing of analog electronic circuits

Ł. Chruszczyk D. Grzechca J. Rutkowski
Bulletin of the Polish Academy of Sciences Technical Sciences | 2007 | vol. 55 | No 3 | 273-280
Keywords fault detection fault location dictionary fault diagnosis analog electronic circuits wavelet transform genetic algorithm
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Abstract

This article presents combined approach to analog electronic circuits testing by means of evolutionary methods (genetic algorithms) and using some aspects of information theory utilisation and wavelet transformation. Purpose is to find optimal excitation signal, which maximises probability of fault detection and location. This paper focuses on most difficult case where very few (usually only input and output) nodes of integrated circuit under test are available.

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Authors and Affiliations

Ł. Chruszczyk
D. Grzechca
J. Rutkowski

A fault location method for hybrid transmission lines based on empirical Fourier decomposition

Caixia Tao Baosheng Xing Taiguo Li
Archives of Electrical Engineering | 2023 | vol. 72 | No 4 | 1035-1053 | DOI: 10.24425/aee.2023.147425
Keywords empirical Fourier decomposition fault location hybrid lines Teager energy operator traveling wave method
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Abstract

This paper aims to address the problems of inaccurate location and large computation in hybrid transmission line traveling wave detection methods. In this paper, a new fault location method based on empirical Fourier decomposition (EFD) and the Teager energy operator (TEO) is proposed. Firstly, the combination of EFD and the TEO is used to detect the time difference between the arrival of the initial traveling wave of the fault at the two measurement ends of the hybrid line. Then, when the fault occurs at the midpoint of each line segment and at the connection point of the hybrid line, the time difference between the arrival of the fault traveling wave at the two measurement ends of the line is calculated according to the line parameters. By comparing the obtained time differences, it is determined whether the fault occurs in the first or second half of the line. Finally, the fault distance is calculated using the double-ended traveling wave method according to the fault section. The model was built on PSCAD and the proposed algorithm was simulated on MATLAB platform. The results demonstrate that the proposed method achieves an average fault location accuracy of 98.88% by adjusting transition resistances and fault distances and comparing with other location methods. After validation, the proposed method for locating faults has a high level of accuracy in location, computational efficiency, and reliability. It can accurately identify fault segments and locations in hybrid transmission line systems.
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Authors and Affiliations

Caixia Tao
1
Baosheng Xing
1
Taiguo Li
1
  1. School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Gansu Province, China

Faulted feeder identification and location for a single line-to-ground fault in ungrounded distribution system based on principal frequency component

Ling Liu
Archives of Electrical Engineering | 2020 | vol. 69 | No 3 | 695-704 | DOI: 10.24425/aee.2020.133926
Keywords fault identification fault location single line-to-ground fault principal frequency component
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Abstract

When a single line-to-ground fault occurs in the ungrounded distribution system, the steady-state fault current is relatively small for fault analysis and the transient fault current is observable, which can be used for faulted feeder identification and location. The principal frequency component retains most of the characteristics of the transient current. The principal frequency is related to the distance from the fault point to the substation and can be used for fault location. This paper analyzes the sequence network model of a single line-to-ground fault in the distribution network, and gives a method for principal frequency calculation. Depending on the characteristics of the maximum amplitude of the principal frequency component of the faulted feeder, the method of faulted feeder identification is given. Based on the complementary characteristics of the phase angle of the principal frequency component of the fault current and the phase angle at the substation bus, the faulted section location is carried out. MATLAB simulation is used to verify the effectiveness of the faulted feeder identification and location method.

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Authors and Affiliations

Ling Liu
ORCID: ORCID

A new method for estimating fault location in radial medium voltage distribution network only using measurements at feeder beginning

Truong Ngoc-Hung
Archives of Electrical Engineering | 2023 | vol. 72 | No 2 | 503-520 | DOI: 10.24425/aee.2023.145422
Keywords characteristic equation distribution network fault location fault ranking index global search
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Abstract

This paper proposes a new fault location method in radial medium voltage distribution networks. The proposed method only uses the measurement data at the feeder beginning to approximate the characteristic equation showing the dependence between the positive-sequence voltage and phase angle at the monitoring point with the distance to the fault location for each fault type on each line segment. To determine these characteristic equation coefficients, the entire distribution network will be modeled and simulated by four types of faults at different locations along the lines to build the initial database. Based on this database, the mathematical functions in MATLAB software are applied to approximate these coefficients corresponding to each type of fault for each line segment in the network. Then, from the current and voltage measurement data at the feeder beginning, the algorithms of global search, comparison, and fault ranking are used to find out where the fault occurs on the distribution network. Two types of distribution network with and without branches are studied and simulated in this paper to verify and evaluate the effectiveness of the proposed method.
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Authors and Affiliations

Truong Ngoc-Hung
1
ORCID: ORCID
  1. Department of I.T., FPT University – Quy Nhon A.I Campus, Dong Da ward, Quy Nhon city, Viet Nam

Fault location of distribution network with distributed generation based on Karrenbauer transform and support vector machine regression

Siming Wang Zhao Kaikai
Archives of Electrical Engineering | 2023 | vol. 72 | No 2 | 461-481 | DOI: 10.24425/aee.2023.145420
Keywords distributed generation distribution network fault location fault type Karrenbauertransform SVR agent prediction model
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Abstract

As the capacity and scale of distribution networks continue to expand, and distributed generation technology is increasingly mature, the traditional fault location is no longer applicable to an active distribution network and "two-way" power flow structure. In this paper, a fault location method based on Karrenbauer transform and support vector machine regression (SVR) is proposed. Firstly, according to the influence of Karrenbauer transformation on phase angle difference before and after section fault in a low-voltage active distribution network, the fault regions and types are inferred preliminarily. Then, in the feature extraction stage, combined with the characteristics of distribution network fault mechanism, the fault feature sample set is established by using the phase angle difference of the Karrenbauer current. Finally, the fault category prediction model based on SVR was established to solve the problem of a single-phase mode transformation modulus and the indistinct identification of two-phase short circuits, then more accurate fault segments and categories were obtained. The proposed fault location method is simulated and verified by building a distribution network system model. The results show that compared with other methods in the field of fault detection, the fault location accuracy of the proposed method can reach 98.56%, which can enhance the robustness of rapid fault location.
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Authors and Affiliations

Siming Wang
1
Zhao Kaikai
1
  1. School of Automation and Electrical Engineering, Lanzhou Jiaotong University, China

VSC-HVDC transmission line fault location based on transient characteristics

Yanxia Zhang Anlu Bi Jian Wang Fuhe Zhang Jingyi Lu
Archives of Electrical Engineering | 2021 | vol. 70 | No 2 | 381-398 | DOI: 10.24425/aee.2021.136991
Keywords characteristic roots fault location identification of fault stages Prony algorithm VSC-HVDC
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Abstract

Accurate and reliable fault location is necessary for ensuring the safe and reliable operation of the VSC-HVDC transmission system. This paper proposed a single-terminal fault location method based on the fault transient characteristics of the two-terminal VSCHVDC transmission system. The pole-to-pole transient fault process was divided into three stages, the time-domain expression of the DC current during the diode freewheel stage was used to locate the fault point, and a criterion for judging whether the fault evolves to the diode freewheel stage was proposed. Taking into account the enhancing effect of the opposite system to the fault current, theDCside pole-to-ground fault networkwas equated to a fourth-order circuit model, the relationship of fault distance with the characteristic roots of fault current differential equationwas derived, and the Prony algorithmwas utilized for datafitting to extract characteristic roots to realize fault location. A two-terminal VSC-HVDC transmission system was modelled in PSCAD/EMTDC. The simulation result verifies that the proposed principle can accurately locate the fault point on the VSC-HVDC transmission lines.
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Bibliography

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Authors and Affiliations

Yanxia Zhang
1
Anlu Bi
1
Jian Wang
1
Fuhe Zhang
1
Jingyi Lu
1
  1. School of Electrical and Information Engineering, Tianjin University, China

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