- Title
- Electric vehicle participated electricity market model considering flexible ramping product provisions
- Creator
- Zhang, Xian; Hu, Jiefeng; Wang, Huaizhi; Wang, Guibin; Chan, Ka; Qiu, Jing
- Date
- 2020
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/174046
- Identifier
- vital:14796
- Identifier
-
https://doi.org/10.1109/TIA.2020.2995560
- Identifier
- ISBN:0093-9994 (ISSN)
- Abstract
- This article studies electric vehicle (EV) potential to participate in the energy market and provide flexible ramping products (FRPs). EV traffic flows are predicted by the deep belief network, and the availability of flexible EVs is estimated based on the predicted EV traffic flows. Then, a novel market mechanism in distribution system is proposed to encourage the dispatchable EV demand to react to economic signals and provide ramping services. The designed market model is based on locational marginal pricing of energy and marginal pricing of FRPs. System ramping capacity constraints and EV operation constraints are incorporated in the proposed model to achieve the balance between the system social cost minimization and the EV traveling convenience. Moreover, typical uncertainties are considered by the scenario-based approach. Finally, simulations are conducted to verify the effectiveness of the established model and demonstrate the contributions of EVs to the system reliability and flexibility. © 1972-2012 IEEE.; ITIAC: Funding details: JCYJ20170817100412438, 2019-AAAE-1307, JCYJ20190808141019317
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- IEEE Transactions on Industry Applications Vol. 56, no. 5 (2020), p. 5868-5879
- Rights
- Postprint
- Rights
- This metadata is freely available under a CCO license
- Subject
- 08 Information and Computing Sciences; 09 Engineering; Demand management; Deregulated electricity market; Electric vehicle (EV); Flexible ramping product (FRP); Locational marginal price (LMP)
- Reviewed
- Funder
- ITIAC: Funding details: JCYJ20170817100412438, 2019-AAAE-1307, JCYJ20190808141019317
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