TY - GEN
T1 - The Influence of Electric Vehicle Penetration on Distribution Transformer Ageing Rate and Performance
AU - Kuspan, Bekarys
AU - Bagheri, Mehdi
AU - Abedinia, Oveis
AU - Naderi, Moahammad Salay
AU - Jamshidpour, Ehsan
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/6
Y1 - 2018/12/6
N2 - Electric Vehicles (EVs) would be replaced with the fossil-fuel based car in the near future due to their less pollution. However, a high ratio of the EV penetration into the power system network may significantly increase the power demand and affect the performance of the distribution section components, specifically transformers. The purpose of this research work is to analyze how charging the EVs will influence the thermal performance of the oil-filled distribution transformer in power system network. Transformer thermal mathematical model is developed and different EV penetration scenarios are introduced and simulated. Each penetration scenario shows how a certain level of the EV connection affects the lifetime of the transformer. The obtained simulation results are quite crucial for assessing the ability of the currently exploited distribution transformers to feed EVs based on the three criteria: load limit, ageing rate and transformer life loss.
AB - Electric Vehicles (EVs) would be replaced with the fossil-fuel based car in the near future due to their less pollution. However, a high ratio of the EV penetration into the power system network may significantly increase the power demand and affect the performance of the distribution section components, specifically transformers. The purpose of this research work is to analyze how charging the EVs will influence the thermal performance of the oil-filled distribution transformer in power system network. Transformer thermal mathematical model is developed and different EV penetration scenarios are introduced and simulated. Each penetration scenario shows how a certain level of the EV connection affects the lifetime of the transformer. The obtained simulation results are quite crucial for assessing the ability of the currently exploited distribution transformers to feed EVs based on the three criteria: load limit, ageing rate and transformer life loss.
KW - Hot-spot temperature
KW - Real time monitoring system
KW - Thermal model
KW - Top-oil temperature
KW - Transformer overloading
UR - http://www.scopus.com/inward/record.url?scp=85060655263&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060655263&partnerID=8YFLogxK
U2 - 10.1109/ICRERA.2018.8566966
DO - 10.1109/ICRERA.2018.8566966
M3 - Conference contribution
AN - SCOPUS:85060655263
T3 - 7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018
SP - 313
EP - 318
BT - 7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018
Y2 - 14 October 2018 through 17 October 2018
ER -
