Citation
Suli Zou, Ian Hiskens, Zhongjing Ma, Xiangdong Liu. "Consensus-Based Coordination of Electric Vehicle Charging". IFAC World Congress, IFAC, July, 2017.

Abstract
As the population of electric vehicles (EVs) grows, coordinating their charging over a finite time horizon will become increasingly important. Recent work established a framework for EV charging coordination where a central node broadcast a price signal that facilitated the tradeoff between the total generation cost and local costs associated with battery degradation and distribution network overloading. This paper considers a completely distributed protocol where the central node is eliminated. Instead, a consensus algorithm is used to fully distribute the price update mechanism. Each EV computes a local price through its estimate of the total EV charging demand, and exchanges this information with its neighbours. A consensus algorithm establishes the average over all the EV-based prices. It is shown that under a reasonable assumption, the price update mechanism is a Krasnoselskij iteration, and this iteration is guaranteed to converge to a fixed point. Furthermore, this iterative process converges to the unique and efficient solution.

Electronic downloads

• pev.consensus.ifac_v2.pdf · application/pdf · 317 kbytes

• HTML

  Suli Zou, Ian Hiskens, Zhongjing Ma, Xiangdong Liu. <a
  href="http://www.cps-forces.org/pubs/227.html"
  >Consensus-Based Coordination of Electric Vehicle
  Charging</a>, IFAC World Congress, IFAC, July, 2017.

• Plain text

  Suli Zou, Ian Hiskens, Zhongjing Ma, Xiangdong Liu.
  "Consensus-Based Coordination of Electric Vehicle
  Charging". IFAC World Congress, IFAC, July, 2017.

• BibTeX

  @inproceedings{ZouHiskensMaLiu17_ConsensusBasedCoordinationOfElectricVehicleCharging,
      author = {Suli Zou and Ian Hiskens and Zhongjing Ma and
                Xiangdong Liu},
      title = {Consensus-Based Coordination of Electric Vehicle
                Charging},
      booktitle = {IFAC World Congress},
      organization = {IFAC},
      month = {July},
      year = {2017},
      abstract = {As the population of electric vehicles (EVs)
                grows, coordinating their charging over a finite
                time horizon will become increasingly important.
                Recent work established a framework for EV
                charging coordination where a central node
                broadcast a price signal that facilitated the
                tradeoff between the total generation cost and
                local costs associated with battery degradation
                and distribution network overloading. This paper
                considers a completely distributed protocol where
                the central node is eliminated. Instead, a
                consensus algorithm is used to fully distribute
                the price update mechanism. Each EV computes a
                local price through its estimate of the total EV
                charging demand, and exchanges this information
                with its neighbours. A consensus algorithm
                establishes the average over all the EV-based
                prices. It is shown that under a reasonable
                assumption, the price update mechanism is a
                Krasnoselskij iteration, and this iteration is
                guaranteed to converge to a fixed point.
                Furthermore, this iterative process converges to
                the unique and efficient solution.},
      URL = {http://cps-forces.org/pubs/227.html}
  }
  

Posted by Ian Hiskens on 28 Feb 2017.
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