Dissertation in the field of power system engineering, Muhammad Shafiq, MSc
The dissertation presents the proactive on-line condition assessment techniques for critical power distribution components.
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The title of the thesis is Design and Implementation of Partial Discharge Measurement Sensors for On-line Condition Assessment of Power Distribution System Components.
The rising need of improved reliability of the electrical supply network demands for the effective maintenance technologies in order to avoid unplanned power interruptions due faulty operation of the network components.
The presented techniques are based on investigation of partial discharge (PD) signals which provide the possibility to predict the incoming dielectric insulation faults within the power components cables, transformers, overhead covered conductors etc. Monitoring and diagnostics are two major parts of a condition assessment system. In this work, non-intrusive sensors are designed and modeled for PD monitoring. Appropriate sensor calibration, installation, and data processing techniques are developed which lead to efficient diagnostics in terms of detection and location of the PD faults in the power components.
With the aid of sophisticated information and communication technologies, the presented condition assessment solutions can effectively enhance the distribution automation features of the modern grid.
Opponent: Professor Petr Toman, Brno University of Technology, Brno, Czech Republic
Supervisor: Professor Matti Lehtonen, Aalto University School of Electrical Engineering, Department of Electrical Engineering and Automation
More information:
Electronic dissertation (otalib.aalto.fi)
Muhammad Shafiq
+358 44 5363779
muhammad.shafiq@aalto.fi