International Journal of Advanced Innovative Technology in Engineering (IJAITE)

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STUDY OF FAULT DETECTION IN TRANSMISSION LINES USING WAVELET AND CONTOURLET FEATURES

Ms. Aishwarya Lokhare, Ms. Rashmi Sing

Abstract :

Transmission line protection is an important issue in power system engineering because 85-87% of power system faults are occurring in transmission lines. This paper presents a technique to detect and classify the different shunt faults on a transmission lines for quick and reliable operation of protection schemes. Discrimination among different types of faults on the transmission lines is achieved by application of evolutionary programming tools. This work evaluates a new method for faults detections in transmission lines in HVDC systems. The proposed method uses voltage and current synchronized data. The HVDC systems are simulated using MATLAB software. The method for detection of faults in transmission line uses a self-adaptive threshold and presents a redundancy, which allows the detection of faults even in situations where loss of either voltage or current signal occurs. A monopolar and a bipolar system are simulated using Simulink/MATLAB®. Results might show that percentage errors are lower than 0.01% for all analyzed cases in the monopolar system and lower than 0.5% for all analyzed cases in the bipolar system. We plan to extend the system by adding contourlet transform for adding better accuracy of fault detection.

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