Hasan, Qusay Othman (2014) Partial discharge detection using leakage current and optical technique in insulation oil of high voltage transformer. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering.
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Abstract
High-voltage transformer is the most critical and expensive component in a power system network in order to ensure the stability of the system. Partial discharge (PD) detection is a technique widely used for high voltage equipment insulation condition monitoring and assessment. PD phenomenon causes gradual deterioration of the insulating materials, sometimes over a period of several years, leading perhaps to eventual failure. Detecting PD in power transformers is vital both in industries and utilities to avoid damage of high-voltage equipment. The objectives for this thesis are: To conduct an experiment for the detection of PD using multi-mode optical fiber sensors under high voltage insulation oil conditions .To characterize the Partial discharges through leakage current sensor and signal monitoring in Palm oil insulation. Comparison of optical and conventional (leakage current) and analyze the output in time and frequency domain of the waveform. These data will evaluate in time and frequency domain by using analyzing software program (Origin-Pro). The conclusion that can acquire from this software and from the experimental lap results shown impressive characteristic for the PD detection and recommend the both sensors as a good tools for monitor and assessment the insulation condition when the discharge emission occur.
Item Type: | Thesis (Masters) |
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Additional Information: | Thesis (Sarjana Kejuruteraan (Elektrik - Kuasa)) - Universiti Teknologi Malaysia, 2014; Supervisor : Assoc. Prof. Mohd. Muhridza Yaacob |
Uncontrolled Keywords: | partial discharges, high voltage transformer, frequency |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Electrical Engineering |
ID Code: | 48799 |
Deposited By: | INVALID USER |
Deposited On: | 11 Nov 2015 00:44 |
Last Modified: | 24 Jun 2020 02:00 |
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