Publication details
Optimal Distribution Feeder Reconfiguration for Integration of Electric Vehicles
Publication data
Type:
Conference paper
Authors:
Dante Fernando Recalde Melo, Walter Leguizamon, Tobias Massier and Hoay Beng Gooi
Published in:
Proceedings of the 2017 IEEE PES Conference on Innovative Smart Grid Technologies (ISGT) Latin America
(Electronic ISBN: 978-1-5386-3312-0, Print-on-demand ISBN: 978-1-5386-3313-7, USB ISBN: 978-1-5386-3311-3)
(Electronic ISBN: 978-1-5386-3312-0, Print-on-demand ISBN: 978-1-5386-3313-7, USB ISBN: 978-1-5386-3311-3)
Publisher:
Institute of Electrical and Electronics Engineers (IEEE),
New York (New York, United States of America)
Publication date:
September 2017
Pages:
1–6
Conference:
Conference location:
JW Marriott Hotel,
Quito (Ecuador)
Conference dates:
20 September 2017
– 22 September 2017
Abstract:
Penetration levels of electric vehicles (EVs) and distributed energy resources (DER) increase as the power distribution grid continues to change. This leads to a significant variation in the distribution system load profile, reduce the voltage quality and create congestion in some nodes of the network. Distribution network reconfiguration (DNR) presents an alternative to reduce the impact of EVs and DER while avoiding requirements of network reinforcement. This work proposes a day-ahead optimal network reconfiguration to mitigate the negative impact caused by the presence of EVs in the distribution system. The distribution network is optimized using genetic algorithm (GA). A sequence of hourly network configuration is proposed to minimize the operating cost resulting from both power losses and switching operation. The cost of power losses is calculated based on the National Electricity Market of Singapore (NEMS)'s electricity hourly price. Simulations results are provided to validate the proposed method.
Keywords:
Distribution system operation, Electric vehicles, Network reconfiguration
DOI:
Further information
Part of project:
Resources
Format:
@inproceedings{RecaldeMelo_OptimalDistributionFeeder_2017,
author = {Recalde Melo, Dante Fernando and Leguizamon, Walter and Massier, Tobias and Gooi, Hoay Beng},
title = {Optimal Distribution Feeder Reconfiguration for Integration of Electric Vehicles},
year = {2017},
month = sep,
booktitle = {Proceedings of the 2017 IEEE PES Conference on Innovative Smart Grid Technologies (ISGT) Latin America},
isbn = {978-1-5386-3312-0},
publisher = {IEEE},
address = {Quito, Ecuador},
pages = {1--6},
doi = {10.1109/ISGT-LA.2017.8126702},
keywords = {Distribution system operation, Electric vehicles, Network reconfiguration},
}
@inproceedings{RecaldeMelo_OptimalDistributionFeeder_2017,
author = {Recalde Melo, Dante Fernando and Leguizamon, Walter and Massier, Tobias and Gooi, Hoay Beng},
title = {Optimal Distribution Feeder Reconfiguration for Integration of Electric Vehicles},
date = {2017-09},
booktitle = {Proceedings of the 2017 IEEE PES Conference on Innovative Smart Grid Technologies (ISGT) Latin America},
isbn = {978-1-5386-3312-0},
publisher = {IEEE},
location = {Quito, Ecuador},
pages = {1--6},
doi = {10.1109/ISGT-LA.2017.8126702},
keywords = {Distribution system operation, Electric vehicles, Network reconfiguration},
}
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