Simulation Study for Analysis of Online Dielectric Measurement Problems on Transformer Insulation System

Advanced monitoring system and preventive maintenance introduced on serviced transformer successfully reducing the equipment malfunction and breakdown rate. However, faults that occur and developed inside the transformer can be very unpredictable. One of the measures can be taken is to analyse the hottest spot temperature (HST) of the transformer, because high temperature will affect transformer insulation system performance and its life-span. HST distribution study on the transformer surface body can give better understanding on how HST will behave at inner and outer transformer surface tank, so that it can be correlated to the actual temperature inside the transformer. Therefore, this paper presents a simulation study on 100 KVA ONAN oil-filled type of distribution transformer with three types of HST intensity. Result shows that temperature distribution projectile is tending to go upwards in the insulation oil and inward into the winding. Moreover, location of HST can be identified by comparing the temperature distribution plot with and without HST.

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Dealing with Data Uncertainty for Transformer Insulation System Health Index

IEEE Access ◽

10.1109/access.2021.3081699 ◽

2021 ◽

pp. 1-1

Author(s):

Rahman Azis Prasojo ◽

Suwarno ◽

A. Abu-Siada

Keyword(s):

Data Uncertainty ◽

Health Index ◽

Insulation System ◽

Transformer Insulation

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Coupled transparent insulation system with low emissivity solar absorber: An experimentally validated building energy simulation study

Science and Technology for the Built Environment ◽

10.1080/23744731.2020.1715250 ◽

2020 ◽

Vol 26 (4) ◽

pp. 511-523 ◽

Cited By ~ 1

Author(s):

Miroslav Čekon ◽

Jakub Čurpek ◽

Richard Slávik ◽

OndŘej Šikula

Keyword(s):

Simulation Study ◽

Building Energy ◽

Energy Simulation ◽

Building Energy Simulation ◽

Insulation System ◽

Solar Absorber

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A methodology for the optimized design of power transformer insulation system

COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering ◽

10.1108/compel-12-2016-0561 ◽

2018 ◽

Vol 37 (3) ◽

pp. 1002-1010 ◽

Cited By ~ 1

Author(s):

Hugo Rodriguez-Ignacio ◽

Xose M. Lopez-Fernandez ◽

Casimiro Álvarez-Mariño

Keyword(s):

Power Transformer ◽

Safety Margin ◽

Analytical Calculation ◽

Optimized Design ◽

Insulation System ◽

Content Type ◽

Candidate Solution ◽

Wide Range ◽

Two Stages ◽

Transformer Insulation

Purpose The purpose of this paper is to present a methodology based on an optimizer linked with electric finite element method (FEM) for automating the optimized design of power transformer insulation system structures. Design/methodology/approach The proposed methodology combines two stages to obtain the optimized design of transformer insulation system structures. First, an analytical calculation is carried out with the optimizer to search a candidate solution. Then, the candidate solution is numerically checked in detail to validate its consistency. Otherwise, these two steps are iteratively repeated until the optimizer finds a candidate solution according to the objective function. Findings The solutions found applying the proposed methodology reduce the inter-electrode distances compared to those insulation designs referenced in the literature for the same value of safety margin. Originality/value The proposed methodology explores a wide range of insulation system structures in an automated way which is not possible to do with the classical trial-and-error approach based on personal expertise.

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