ESTIMATION ALGORITHMS FOR THE DEGREE OF POLYMERIZATION OF PAPER INSULATION IMPREGNATED WITH INHIBITED INSULATION OIL
Solid insulation in power transformer deteriorates due to aging processes during its operation. The widely used parameter for determining paper insulation condition is the Degree of Polymerization (DP). Nowadays DP measurement techniques without damage the components of the transformer insulation...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/39587 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Solid insulation in power transformer deteriorates due to aging processes during
its operation. The widely used parameter for determining paper insulation condition
is the Degree of Polymerization (DP). Nowadays DP measurement techniques
without damage the components of the transformer insulation system or interfere
with the transformer service time is needed. The most common method is using
furan analysis to estimate DP value but still have external factor which impact to
the accuracy of furan measurement e.g. oil replacement or reclamation, also
uncertainties and dynamics factor e. g. different period of measurement after oil
processing, different temperature and time of measurement. Several estimation
algorithms has been developed to determine the condition of the solid insulation of
oil-immersed power transformer using the Degree of Polymerization (DP) by
considering chemical and dielectric parameters of un-inhibited oils.
This contribution therefore is aimed at develop an algorithm to estimate the DP
value of paper insulation for transformers immersed with inhibited oil. Dielectric
characteristic parameters, i.e. Water content, Acidity, Interfacial Tension (IFT),
Breakdown Voltage (BDV) as well as Dissolved Gas Analysis (DGA), i.e. carbon
monoxide (CO) and carbon dioxide (CO2) are processed and evaluated using
specialized Fuzzy Inference System (FIS) and Adaptive Neuro Fuzzy Inference
System (ANFIS). An algorithm implemented to find the most significant
parameters to DP value and generate rules for fuzzy sets based on the information
gain according to entropy of the measurement data. Estimation result observed and
evaluated so that FIS and ANFIS is suitable to estimate insulation condition for
inhibited insulation oil. In addition, accelerated aging sample data found suitable to
use in algorithms to predict insulation condition on field operating transformer.
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