Robust electric vehicle aggregation for ancillary service provision considering battery aging
Introduction of demand response (DR) programs could help improve the overall power system stability, even out energy valleys and also push the prices lower due to the increased competitiveness. Liberalization of electricity markets provides possibilities for load aggregators to schedule consumption...
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sg-ntu-dr.10356-1397972020-05-21T08:37:54Z Robust electric vehicle aggregation for ancillary service provision considering battery aging Melo, Dante Fernando Recalde Trippe, Annette Gooi, Hoay Beng Massier, Tobias School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Demand Response Electric Vehicles Introduction of demand response (DR) programs could help improve the overall power system stability, even out energy valleys and also push the prices lower due to the increased competitiveness. Liberalization of electricity markets provides possibilities for load aggregators to schedule consumption and obtain revenue by direct participation in demand response programs. This paper proposes a robust algorithm for aggregation of flexible loads within the same distribution network. Participation in DR programs is investigated considering electric vehicle (EV) located at the same carpark. Battery aging is considered and a utilization compensation scheme is proposed for EV drivers. A robust algorithm based on a receding horizon linear problem is designed for the load aggregator considering EV constraints, price uncertainties, and battery aging. NRF (Natl Research Foundation, S’pore) 2020-05-21T08:37:53Z 2020-05-21T08:37:53Z 2016 Journal Article Melo, D. F. R., Trippe, A., Gooi, H. B., & Massier, T. (2018). Robust electric vehicle aggregation for ancillary service provision considering battery aging. IEEE Transactions on Smart Grid, 9(3), 1728-1738. doi:10.1109/TSG.2016.2598851 1949-3053 https://hdl.handle.net/10356/139797 10.1109/TSG.2016.2598851 2-s2.0-85040286904 3 9 1728 1738 en IEEE Transactions on Smart Grid © 2016 IEEE. All rights reserved. |
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Engineering::Electrical and electronic engineering Demand Response Electric Vehicles Melo, Dante Fernando Recalde Trippe, Annette Gooi, Hoay Beng Massier, Tobias Robust electric vehicle aggregation for ancillary service provision considering battery aging |
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Introduction of demand response (DR) programs could help improve the overall power system stability, even out energy valleys and also push the prices lower due to the increased competitiveness. Liberalization of electricity markets provides possibilities for load aggregators to schedule consumption and obtain revenue by direct participation in demand response programs. This paper proposes a robust algorithm for aggregation of flexible loads within the same distribution network. Participation in DR programs is investigated considering electric vehicle (EV) located at the same carpark. Battery aging is considered and a utilization compensation scheme is proposed for EV drivers. A robust algorithm based on a receding horizon linear problem is designed for the load aggregator considering EV constraints, price uncertainties, and battery aging. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Melo, Dante Fernando Recalde Trippe, Annette Gooi, Hoay Beng Massier, Tobias |
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Article |
author |
Melo, Dante Fernando Recalde Trippe, Annette Gooi, Hoay Beng Massier, Tobias |
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Melo, Dante Fernando Recalde |
title |
Robust electric vehicle aggregation for ancillary service provision considering battery aging |
title_short |
Robust electric vehicle aggregation for ancillary service provision considering battery aging |
title_full |
Robust electric vehicle aggregation for ancillary service provision considering battery aging |
title_fullStr |
Robust electric vehicle aggregation for ancillary service provision considering battery aging |
title_full_unstemmed |
Robust electric vehicle aggregation for ancillary service provision considering battery aging |
title_sort |
robust electric vehicle aggregation for ancillary service provision considering battery aging |
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2020 |
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https://hdl.handle.net/10356/139797 |
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1681057030496845824 |