Dissertation in the field Power Systems and High Voltage Engineering, Mohd Rafi Adzman
The title: Earth fault distance coputation methods based on transients in unearthed and compensated neutral medium voltage distribution systems
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This thesis focuses on single phase to earth faults in medium voltage (MV) distri-bution feeders. The most common fault in power distribution network is single line to earth fault. In order to reduce the outage costs and to satisfy the quality of sup-ply requirements, fault location algorithms have to locate fault as soon as possible and with an efficient way. This can be achieved by utilizing the information of initial transients of earthed faults.
This dissertation presents algorithms to locate an earth fault in an unearthed or a compensated neutral medium voltage (MV) network using the information of the measured transient signal. The work is intended to develop a variety of fault loca-tion algorithms. The developed fault location algorithms can be used as a tools to locate and estimate the fault distance of an earth fault in a faulty feeder. In this work, five types of fault location algorithms have been developed which are called general model (GM) algorithm, exact model (EM) algorithm, continuous wavelet transform (CWT) based method, multiple regression analysis (MRA) based method and artificial neural network (ANN). Two of the algorithms were developed using the measured transient signals from secondary side of the MV/LV distribution trans-formers.
The proposed algorithms are tested using transient signal generated by a simula-tion model and a recorded data in a real network. The performance evaluation results shows that the proposed algorithm able to perform successfully with a reasonable level of accuracy.
Opponent: Ass. Prof. Dr. Ing. Peter Braciník, University of Žilina, Slovakia
Dr. Seppo Hänninen, VTT Technical Research Centre of Finland, Finland
Supervisor: Professor Matti Lehtonen, Aalto University School of Electrical Engineering, Department of Electrical Engineering and Automation
Contact information:
Mohd Rafi Adzman
Phone:+358 45 355 4941
email: mohdrafi.adzman@aalto.fi