TY - GEN
T1 - A New Method for Estimating Transformer Health Index Based on Ultraviolet-Visible Spectroscopy
AU - Darwish, Mohamed M.F.
AU - Hassan, Mohamed H.A.
AU - Abdel-Gawad, Nagat M.K.
AU - Mansour, Diaa Eldin A.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022/1/26
Y1 - 2022/1/26
N2 - The condition assessment of power transformers by evaluating the state of their insulating system is of great importance according to the electrical utilities. Since, as early as the insulation deterioration is detected, the probability of a sudden system outage is significantly reduced. Regarding that, there are several methods through which the transformer condition can be determined. Recently, the utilization of optical spectroscopy techniques in condition monitoring based on oil quality analysis has attracted attention in many research papers. Therefore, the contribution of this paper is to check the reliability of estimating the transformer's Health index (HI) percentage based on the optical spectroscopy techniques. So, pure mineral oil samples were thermally aged in the laboratory for various ageing durations. Then, all of them were examined by ultraviolet-visible (UV-Vis) spectroscopy for determining the dissolved decay products (DDP) in each sample. After that, the HI percentages were estimated for the transformers simulated by these aged samples according to their DDP values. In the final analysis, this optical method has proven its potential in being a superior alternative to conventional techniques in estimating the transformer's HI percentage.
AB - The condition assessment of power transformers by evaluating the state of their insulating system is of great importance according to the electrical utilities. Since, as early as the insulation deterioration is detected, the probability of a sudden system outage is significantly reduced. Regarding that, there are several methods through which the transformer condition can be determined. Recently, the utilization of optical spectroscopy techniques in condition monitoring based on oil quality analysis has attracted attention in many research papers. Therefore, the contribution of this paper is to check the reliability of estimating the transformer's Health index (HI) percentage based on the optical spectroscopy techniques. So, pure mineral oil samples were thermally aged in the laboratory for various ageing durations. Then, all of them were examined by ultraviolet-visible (UV-Vis) spectroscopy for determining the dissolved decay products (DDP) in each sample. After that, the HI percentages were estimated for the transformers simulated by these aged samples according to their DDP values. In the final analysis, this optical method has proven its potential in being a superior alternative to conventional techniques in estimating the transformer's HI percentage.
KW - Condition Monitoring
KW - Health Index
KW - Thermal Ageing
KW - Transformer oil
KW - Ultraviolet-Visible Spectroscopy
UR - http://www.scopus.com/inward/record.url?scp=85147654413&partnerID=8YFLogxK
U2 - 10.1109/MEPCON55441.2022.10021761
DO - 10.1109/MEPCON55441.2022.10021761
M3 - Conference article in proceedings
AN - SCOPUS:85147654413
T3 - 2022 23rd International Middle East Power Systems Conference, MEPCON 2022
BT - 2022 23rd International Middle East Power Systems Conference, MEPCON 2022
PB - IEEE
T2 - International Middle East Power Systems Conference
Y2 - 13 December 2022 through 15 December 2022
ER -
