TY - GEN

T1 - Algorithm for Estimating the Degree of Polymerization of Paper Insulation Impregnated with Inhibited Insulating Oil

AU - Nugraha, Bayu Hadi

AU - Kinkeldey, Tobias

AU - Münster, Tobias

AU - Werle, Peter

AU - Suwarno,

N1 - Funding Information: ACKNOWLEDGMENTS The authors would like to express their gratitude to GRIDINSPECT GmbH and AiF/ZiM for the financial support as well as Weidmann Electrical Technology AG for the support with insulation materials and Analysen Service GmbH Leipzig for the DP analysis. Furthermore, the authors would like to thank the ABB company for the provision of comparative data.

PY - 2019/10

Y1 - 2019/10

N2 - Paper insulation in power transformers may deteriorate due to ageing processes during the operation. The widely used parameter for determining paper insulation condition is the degree of polymerization (DP). Nowadays, DP measurement techniques without damaging the components of the transformer insulation system or interfere with the transformer service time are needed. The most common method is using a furan analysis to estimate DP value. However, there are different factors and uncertainties such as the occurrence of local overheating at one spot, different periods of measurements after an oil processing, etc. thus, they have an impact on the accuracy of the furan measurement. Therefore, several estimation algorithms had been developed by considering the chemical and dielectric parameters of un-inhibited insulating oil.This contribution aims to develop an algorithm for estimating the DP value of paper insulation on transformers immersed with inhibited insulating oil. An algorithm was implemented to field operating transformer measurement data. The dielectric characteristic parameters (acidity, interfacial tension), as well as dissolved gases (carbon monoxide, carbon dioxide), were processed and evaluated by a specialized fuzzy inference system (FIS).

AB - Paper insulation in power transformers may deteriorate due to ageing processes during the operation. The widely used parameter for determining paper insulation condition is the degree of polymerization (DP). Nowadays, DP measurement techniques without damaging the components of the transformer insulation system or interfere with the transformer service time are needed. The most common method is using a furan analysis to estimate DP value. However, there are different factors and uncertainties such as the occurrence of local overheating at one spot, different periods of measurements after an oil processing, etc. thus, they have an impact on the accuracy of the furan measurement. Therefore, several estimation algorithms had been developed by considering the chemical and dielectric parameters of un-inhibited insulating oil.This contribution aims to develop an algorithm for estimating the DP value of paper insulation on transformers immersed with inhibited insulating oil. An algorithm was implemented to field operating transformer measurement data. The dielectric characteristic parameters (acidity, interfacial tension), as well as dissolved gases (carbon monoxide, carbon dioxide), were processed and evaluated by a specialized fuzzy inference system (FIS).

KW - degree of polymerization

KW - dielectric characteristic

KW - dissolved gases

KW - fuzzy inference system

KW - Paper Insulation

KW - transformer

UR - http://www.scopus.com/inward/record.url?scp=85082024663&partnerID=8YFLogxK

U2 - 10.1109/ICHVEPS47643.2019.9011070

DO - 10.1109/ICHVEPS47643.2019.9011070

M3 - Conference contribution

AN - SCOPUS:85082024663

SN - 978-1-7281-2670-8

BT - 2019 2nd International Conference on High Voltage Engineering and Power Systems (ICHVEPS)

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd International Conference on High Voltage Engineering and Power Systems, ICHVEPS 2019

Y2 - 1 October 2019 through 4 October 2019

ER -