Journal ID : TRKU-19-08-2020-11026
[This article belongs to Volume - 62, Issue - 08]
Total View : 436

Title : DETECTION OF VOLTAGE SAG DURING HIGH FAULT RESISTANCE IN ELECTRICAL DISTRIBUTION NETWORK USING WAVELET TRANSFORM

Abstract :

Electricity can be described as flow of electric power or electric charge. Consumer will receive alternating current (AC) from power station, boosted by transformer to step up or step down, and distributed miles away to different location all over the world. To maintain electricity in stable condition, protection system must be clear with any faults. The protection system function as keeping the power system maintain in stable condition by isolating the components that under faults and leaving as much of network as possible in operation. Thus. This paper presents the events detection focusing on voltage sag and current swell during high fault resistance. The method is developed by applying time domain signal analysis using wavelet transform approach in MATLAB. This project analyzed real interrupted signal obtained from 11 KV distribution network in PSCAD software, comprise actual data form modelling of transmission line from Tenaga Nasional Berhad (TNB) distribution network. The signal will be decomposed through the wavelet mother. The lowers percentage different will prove the best detection event

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