Estimation of the degree of polymerization (DP) in oil-paper insulation system based on dielectric and DGA data using fuzzy logic algorithm

authored by: Eldi F. Nasution, Rahman A. Prasojo, Suwarno, Tobias Kinkeldey, Peter Werle
Abstract: The power plant system produces energy to be transmitted to load center through transmission system and distribution system. The transformer connects these three systems by converting the voltage level of each system. Fault on the transformer will disrupt the power supply to the load center. To maintain the availability of the transformer, the asset owner must be able to manage the transformer assets optimally. The condition of the transformer should be monitored for appropriate maintenance with the component fault. The condition of the transformer is determined by the condition of the paper insulation. The condition of paper insulation is difficult to measure directly since it requires high cost and potentially damage the transformer components. This paper shows the attempt to determine paper insulation condition without direct measurement on paper insulation. Calculation of the prediction of paper insulation condition is based on dielectric characteristics and DGA data in oil insulation of transformer. This calculation will use the fuzzy logic algorithm.
Organisation(s): High Voltage Engineering and Asset Management Section (Schering Institute)
External Organisation(s): Institut Teknologi Bandung (ITB)
PT PLN (Persero) Kantor Pusat
Type: Conference contribution
Publication date: 10.2018
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Energy Engineering and Power Technology, Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality
Sustainable Development Goals: SDG 7 - Affordable and Clean Energy
Electronic version(s): https://doi.org/10.1109/ICPERE.2018.8739284 (Access: Closed)