Proposal of Physical-Statistical Model of Thermal Aging Respecting Threshold Value

Jakub Souček,Pavel Trnka,Jaroslav Hornak

doi:10.3390/en10081120

Abstract

The aging of electrical insulation material or a system is a main issue for designers of high-voltage (HV) machines. Precise determination of the life cycle of electrical insulation is one way of improving the efficiency of electrical machines involved in the production and transmission of electrical energy. Much effort has been devoted to preparing statistical or physical methods of Electrical Insulating System (EIS) life time estimation in the real operation of electrical machinery. The main aim of this paper is to introduce a new physical-statistical model of thermal aging respecting the threshold value. This model is based on thermal aging model and the main difference between this model and previously published models is taking into account the threshold value of degradation factor. The complete design of this model is presented in this paper, including functions defining the threshold value of the effect of the degradation factor depending on the temperature. Proposed model was verified by accelerated thermal aging test at selected temperatures (160, 170, 180 °C) and time intervals (0, 120, 240 h) on a commonly used transformer board. The breakdown voltage was set as an indicating parameter of the level of thermal aging and was measured according to standard IEC 60243-1. Collected data from these measurements were used for threshold value determination (431.23 K) and verification of proposed physical-statistical model of thermal aging respecting the threshold value.

Highlights

Aging models are commonly used to describe the degradation processes inside the electric insulating system (EIS) [1,2,3,4,5,6]
The degradation of the insulation system is dependent on the understanding of the physicochemical processes and on the mathematical description of the aging macroscopic parameters or empirical constants commonly used in aging models
Certain degradation factors acting in a concrete EIS can be identified, such as electric field intensity [10,11,12,13], temperature [14,15,16,17], mechanical stress [18], radiation [19], moisture [20], dust [21], chemical stress [22], etc. and including these degradation mechanisms into a single model would be impossible

Summary

Introduction

Aging models are commonly used to describe the degradation processes inside the electric insulating system (EIS) [1,2,3,4,5,6]. The degradation of the insulation system is dependent on the understanding of the physicochemical processes and on the mathematical description of the aging macroscopic parameters or empirical constants commonly used in aging models. A more concrete model of aging can be designed when all degradation processes are fully understood. Including these degradation mechanisms into a single model would be impossible. For this reason, it is difficult to design aging models that are well correlated with the actual condition and include the factors that contribute most to degradation. Equation solution (A10) with substitution Equation (A11): SK · e e TT1 − e q eD − T1 − TK )

Objectives

Methods

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Conclusion