Electric Vehicle Participated Electricity Market Model Considering Flexible Ramping Product Provisions

Xian Zhang, Jiefeng Hu, Huaizhi Wang, Guibin Wang, Ka Wing Chan, Jing Qiu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

33 Citations (Scopus)


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.

Original languageEnglish
Article number9095384
Pages (from-to)5868-5879
Number of pages12
JournalIEEE Transactions on Industry Applications
Issue number5
Publication statusPublished - 1 Sept 2020


  • Demand management
  • deregulated electricity market
  • electric vehicle (EV)
  • flexible ramping product (FRP)
  • locational marginal price (LMP)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering


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