Conference Paper

Fault indicators in transmission and distribution systems

Dept. of Electron. & Electr. Eng., Bath Univ.
DOI: 10.1109/DRPT.2000.855670 Conference: Electric Utility Deregulation and Restructuring and Power Technologies, 2000. Proceedings. DRPT 2000. International Conference on
Source: IEEE Xplore

ABSTRACT Fault location techniques can be classified under three
categories: (1) those based on fundamental frequency currents and
voltages; (2) those based on travelling wave and high frequency
components; and (3) those based on knowledge-based approaches. Fault
indicators can be installed either in substation or on pole/tower along
the transmission line. This paper reviews the fault indicator
applications both in transmission and distribution systems. Principles,
merits and demerits of each fault location technique are discussed.
Finally, this paper suggests an advanced fault indicator based on fault
generated high frequency noise signal (FI-HF), which is mounted between
earth wire and tower. Fault generated high frequency noise signal is
captured by a special designed “earth trap” and stack tuner

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    • "This method effectively extracts the characteristics of the travelling wave and the error for fault distance estimation is also substantially less. But, the sampling frequency taken in this method is quite high (1MHz) as a result of which for practical implementation it is difficult [6]. A method to locate fault in distribution system with the penetration of DG is presented in [7]. "
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    ABSTRACT: A hybrid technique for fault distance estimation in a distribution line with wind farm is presented in this paper. Here, one cycle of post fault current samples are taken for fault location from the distributed generation end. The collected samples are then decomposed by wavelet transform and thereafter six statistical features are extracted from the reconstructed detail coefficients of the current signal. Further best features are selected from the total feature set by forward feature selection method. These selected features are then fed as input to the artificial neural network for fault location. In the proposed method, the simulation conditions for the test pattern are completely different from the train one in order to make it robust. Simulation result shows that the proposed hybrid fault location method gives high accuracy for the distribution system.
    2014 13th International Conference on Information Technology, Silicon Institute of Technology, Bhubaneswar; 12/2014
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    • "This method effectively extracts the characteristics of the travelling wave and the error for fault distance estimation is also substantially less. But, the sampling frequency taken in this method is quite high (1MHz) as a result of which for practical implementation it is difficult [6]. A method to locate fault in distribution system with the penetration of DG is presented in [7]. "
    [Show abstract] [Hide abstract]
    ABSTRACT: A hybrid technique for fault distance estimation in a distribution line with wind farm is presented in this paper. Here, one cycle of post fault current samples are taken for fault location from the distributed generation end. The collected samples are then decomposed by wavelet transform and thereafter six statistical features are extracted from the reconstructed detail coefficients of the current signal. Further best features are selected from the total feature set by forward feature selection method. These selected features are then fed as input to the artificial neural network for fault location. In the proposed method, the simulation conditions for the test pattern are completely different from the train one in order to make it robust. Simulation result shows that the proposed hybrid fault location method gives high accuracy for the distribution system.
    13th International Conference on Information Technology,2014; 12/2014
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    • "No entanto, se houver informações sobre a falta, mais rápido será o processo de identificação do ponto defeituoso. Consequentemente , mais ágil será o restabelecimento no fornecimento de energia elétrica (Tang et al., 2000). "
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    ABSTRACT: This paper proposes an evolutionary computing strategy to solve the problem of fault indicator (FI) placement in primary distribution feeders. More specifically, a genetic algorithm (GA) is employed to search for an efficient configuration of FIs, located at the best positions on the main feeder of a real-life distribution system. Thus, the problem is modeled as one of optimization, aimed at improving the distribution reliability indices, while, at the same time, finding the least expensive solution. Based on actual data, the results confirm the efficiency of the GA approach to the FI placement problem.
    IEEE Transactions on Power Systems 11/2012; 27(4):1841-1849. DOI:10.1109/TPWRS.2012.2190625 · 3.53 Impact Factor
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