Fault Detection and Classification Using Discrete Wavelet Transform

International Journal of Research and Scientific Innovation (IJRSI) | Volume V, Issue XI, November 2018 | ISSN 2321–2705

Fault Detection and Classification Using Discrete Wavelet Transform

Akanksha Malhotra, Purva Sharma

Rajasthan College of Engineering for Women, Jaipur, Rajasthan, India

Abstract: This research work aims to present an approach supported by discrete wavelet transform and rule based decision tree for the detection and classification of the various types of the power system faults. Fault location on overhead power transmission lines remains a subject of great interest and has been intensively studied over the years. The power system faults include the line to ground (LG), double line (LL), double line to ground (LLG) and three phase fault involving ground (LLLG).

The issue of fault detection and classification in the utility system network has also become important due to the integration of renewable energy sources in the recent years. The current captured on a bus of the test system is used for the detection of the faults. The current signal is decomposed up to third level of decomposition for the detection of the faults. A fault index based on the sum absolute values of the detail coefficients used to detect the various types of the faults. The detailed simulation methodology has been carried out in MATLAB/Simulink environment using the IEEE-34 bus test system. It is established that the proposed approach effectively detects and classify the power system faults.

I. INTRODUCTION

A fast and continuous expansion of the power system network has been observed in the recent years where the power system is adopting the extra high voltage (EHV) and ultra high voltage (UHV) levels. Identification of location of transmission and distribution line faults in a power system grid is of great importance to facilitate self-healing of the system and for maintaining reliability of power supply. If a fault is not properly detected and removed, widespread damage or a power system blackout may take place [1]. The nature of protective devices may change with the various types of loads such as linear and non-linear loads connected with the distribution system [2].

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