Genetic algorithms applied to a faster distance protection of transmission lines

Coury, Denis Vinicius; Oleskovicz, Mário; Souza, Silvio Aparecido de

doi:10.1590/s0103-17592011000400002

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Fault Localization1

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2018

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“…The apparent positive-sequence fault impedance measured is proportional to the fault distance, which can be estimate for each fault type [14,15] as shown in Table 1.…”

Section: Fault Localizationmentioning

confidence: 99%

Dynamic Fault Classification and Location in Distribution Networks

Bouricha¹,

Bouthiba²,

Seghir³

et al. 2018

J. ADV. ENG. COMPUT.

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This paper presents a method for detecting, classifying and localizing faults in MV distribution networks. This method is based on only two samples of current or voltage signals. The fault detection, faultclassification and fault localization are based on the maximum value of current and voltage as a function of time. A study is presented in this work to evaluate the proposed method.A comparative study between current and voltage method detection has been done to determine which is the fastest. In addition, the classication and localization of faults were made by the same method using two samples signal. Simulation with results have been obtained by using MATLAB / Simulink software. Results are reported and conclusions are drown. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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“…The apparent positive-sequence fault impedance measured is proportional to the fault distance, which can be estimate for each fault type [14,15] as shown in Table 1.…”

Section: Fault Localizationmentioning

confidence: 99%