Dynamic Fault Classification and Location in Distribution Networks | Zendy

Abdelhakim Bouricha | Zendy; Tahar Bouthiba | Zendy; Samira Seghir | Zendy; Rebiha Boukhari | Zendy

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Dynamic Fault Classification and Location in Distribution Networks

Author(s) -

Abdelhakim Bouricha,

Tahar Bouthiba,

Samira Seghir,

Rebiha Boukhari

Publication year - 2018

Publication title -

journal of advanced engineering and computation

Language(s) - English

Resource type - Journals

ISSN - 2588-123X

DOI - 10.25073/jaec.201823.114

Subject(s) - matlab , computer science , fault (geology) , voltage , license , function (biology) , software , fault detection and isolation , work (physics) , data mining , pattern recognition (psychology) , artificial intelligence , engineering , electrical engineering , mechanical engineering , evolutionary biology , seismology , actuator , biology , programming language , geology , operating system

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, faultclassi cation 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 classi cation 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.

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