Providing QoS guarantees to multiple classes of EVs under deterministic grid power

I. Safak Bayram, Mohamed Abdallah, Khalid Qaraqe

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

7 Citations (Scopus)


In order to push Electric Vehicles (EVs) into the mainstream, the wide deployment of charging stations that can serve multiple classes of customers (e.g. fast charge, slow charge etc.) and provide a certain level of Quality of Service (QoS) is required. However, the operation of the power grid becoming more strenuous due to the addition of new large loads represented by EVs. Hence in this paper we propose a control and resource provisioning framework that can alleviate the strain on the power grid. We propose two design problems; first one considers a charging station located in a big metropolitan with a large and highly stochastic EV demand. For this case, we propose a pricing based control mechanism to maximize the total aggregated utility by controlling the arrival rates. Second case provides a capacity planning framework for stations located in small cities where arrival rates can be obtained via profiling studies. At each model, station draws a constant power from the grid and provides QoS guarantees, namely blocking probability, to each class. Hence total stochastic demand is replaced with a deterministic one, by sacrificing to reject a very few percentage of customers. Our results indicate that significant gains can be obtained with the proposed model.

Original languageEnglish
Title of host publicationENERGYCON 2014 - IEEE International Energy Conference
Number of pages6
Publication statusPublished - 10 Jul 2014
Event2014 IEEE International Energy Conference, ENERGYCON 2014 - Dubrovnik, Croatia
Duration: 13 May 201416 May 2014


Conference2014 IEEE International Energy Conference, ENERGYCON 2014


  • blocking probability
  • capacity planning
  • control
  • electric vehicles
  • pricing


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