Decentralized Coordination for Large-scale Plug-in Electric Vehicles in Smart Grid: An Efficient Real-time Price Approach
Zhongjing Ma, Suli Zou, Long Ran, Xingyu Shi, Ian Hiskens

Citation
Zhongjing Ma, Suli Zou, Long Ran, Xingyu Shi, Ian Hiskens. "Decentralized Coordination for Large-scale Plug-in Electric Vehicles in Smart Grid: An Efficient Real-time Price Approach". IEEE 54th Annual Conference on Decision and Control (CDC), 5877-5882, December, 2015.

Abstract
It has been a hot research topic to research the incorporation of large-scale PEVs into smart grid, such as the valley-fill strategy. However high charging rates under the valley-fill behavior may result in high battery degradation cost. Consequently in this paper, we novelly setup a framework to study a class of charging coordination problems which deals with the tradeoff between total generation cost and the accumulated battery degradation costs for all PEVs during a multi-time interval. Due to the autonomy of individual PEVs and the computational complexity for the system with large-scale PEV populations, it is impractical to implement the solution in a centralized way. Alternatively we propose a novel decentralized method such that each individual submits a charging profile, with respect to a given fixed price curve, which minimizes its own cost dealing with the tradeoff between the electricity cost and battery degradation cost over the charging interval; the price curve is updated based upon the aggregated PEV charging profiles. We show that, following the proposed decentralized price update procedure, the system converges to the unique efficient (in the sense of social optimality) solution under certain mild conditions.

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  • HTML
    Zhongjing Ma, Suli Zou, Long Ran, Xingyu Shi, Ian Hiskens.
    <a
    href="http://www.cps-forces.org/pubs/225.html"
    >Decentralized Coordination for Large-scale Plug-in
    Electric Vehicles in Smart Grid: An Efficient Real-time
    Price Approach</a>, IEEE 54th Annual Conference on
    Decision and Control (CDC), 5877-5882, December, 2015.
  • Plain text
    Zhongjing Ma, Suli Zou, Long Ran, Xingyu Shi, Ian Hiskens.
    "Decentralized Coordination for Large-scale Plug-in
    Electric Vehicles in Smart Grid: An Efficient Real-time
    Price Approach". IEEE 54th Annual Conference on
    Decision and Control (CDC), 5877-5882, December, 2015.
  • BibTeX
    @inproceedings{MaZouRanShiHiskens15_DecentralizedCoordinationForLargescalePluginElectric,
        author = {Zhongjing Ma and Suli Zou and Long Ran and Xingyu
                  Shi and Ian Hiskens},
        title = {Decentralized Coordination for Large-scale Plug-in
                  Electric Vehicles in Smart Grid: An Efficient
                  Real-time Price Approach},
        booktitle = {IEEE 54th Annual Conference on Decision and
                  Control (CDC)},
        pages = {5877-5882},
        month = {December},
        year = {2015},
        abstract = {It has been a hot research topic to research the
                  incorporation of large-scale PEVs into smart grid,
                  such as the valley-fill strategy. However high
                  charging rates under the valley-fill behavior may
                  result in high battery degradation cost.
                  Consequently in this paper, we novelly setup a
                  framework to study a class of charging
                  coordination problems which deals with the
                  tradeoff between total generation cost and the
                  accumulated battery degradation costs for all PEVs
                  during a multi-time interval. Due to the autonomy
                  of individual PEVs and the computational
                  complexity for the system with large-scale PEV
                  populations, it is impractical to implement the
                  solution in a centralized way. Alternatively we
                  propose a novel decentralized method such that
                  each individual submits a charging profile, with
                  respect to a given fixed price curve, which
                  minimizes its own cost dealing with the tradeoff
                  between the electricity cost and battery
                  degradation cost over the charging interval; the
                  price curve is updated based upon the aggregated
                  PEV charging profiles. We show that, following the
                  proposed decentralized price update procedure, the
                  system converges to the unique efficient (in the
                  sense of social optimality) solution under certain
                  mild conditions.},
        URL = {http://cps-forces.org/pubs/225.html}
    }
    

Posted by Ian Hiskens on 28 Feb 2017.
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