An optimal energy hub management integrated EVs and RES based on three-stage model considering various uncertainties

Elham Mokaramian, Hossein Shayeghi, Farzad Sedaghati, Amin Safari, Hassan Haes Alhelou

Research output: Contribution to journalArticleResearchpeer-review

35 Citations (Scopus)


In order to make significant progress in the operation of power systems and minimizing cost and air pollution, multi-carrier energy systems based on the economic and emission problem have been proposed by implementing various solutions and using different sources. In this study, an energy hub (EH) system includes a wind turbine (WT), photovoltaic (PV), and EVs that are exchanged energy with energy and reserve market considering energy, thermal, and gas demand response program is proposed. But these units due to uncertain behavior create a big problem in balancing between the demand and generated energy. Thus, the uncertainty of WT, PV, load, and electricity market price are modeled with Mont-Carlo method. Besides that, all parameters of the EVs with uncertainty behavior are modeled using a new method that classified EVs based on the capacity of the battery and other features. This method is employed a stochastic optimization approach to simplify the uncertainty modeling for increasing the system reliability. Hence, two objective functions, namely economic cost, and environmental cost are considered. Finally, a three-step strategy is introduced to solve the multi-objective problem as a single objective function. Finally, EH management performance is investigated by implementing the proposed method and elements.

Original languageEnglish
Pages (from-to)17349-17365
Number of pages17
JournalIEEE Access
Publication statusPublished - 2022
Externally publishedYes


  • Demand response program
  • Electric vehicle
  • Energy hub
  • Renewable energy sources
  • Uncertainty

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