A Contract-Based Framework for Integrated Demand-Response Management in Smart Grids
Baihong Jin, Pierluigi Nuzzo, Mehdi Maasoumy, Yuxun Zhou, Alberto Sangiovanni-Vincentelli

Citation
Baihong Jin, Pierluigi Nuzzo, Mehdi Maasoumy, Yuxun Zhou, Alberto Sangiovanni-Vincentelli. "A Contract-Based Framework for Integrated Demand-Response Management in Smart Grids". International Conference on Embedded Systems For Energy-Efficient Built Environments (BuildSys 2015), ACM, 4, November, 2015.

Abstract
Demand Response (DR) is considered a promising approach to cope with the increasing variability in power grids due to the penetration of renewable energy sources. However, it still remains a challenge to manage the aggregation of a large number of heterogeneous loads to achieve a desired response, especially at a fast time scale. In this paper, we present a system-level modeling and control design approach for DR management in smart grids, by following a contract-based methodology. Given a set of flexible DR loads, capable of adapting their power consumption upon external requests, we find a strategy for an aggregator to optimally track a DR requirement by combining the individual contribution of the DR components. In our framework, both the design requirements and the DR components' interfaces are specified by assume-guarantee contracts expressed using mixed integer linear constraints. Contracts are used to formulate an optimal control problem, which is solved repeatedly over time, in a receding horizon fashion. We illustrate the effectiveness of our methodology for a set of DR components including fans and pumps, showing that it enables modular development of non-disruptive DR control schemes.

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Citation formats

• HTML

  Baihong Jin, Pierluigi Nuzzo, Mehdi Maasoumy, Yuxun Zhou,
  Alberto Sangiovanni-Vincentelli. <a
  href="http://www.terraswarm.org/pubs/616.html"
  >A Contract-Based Framework for Integrated
  Demand-Response Management in Smart Grids</a>,
  International Conference on Embedded Systems For
  Energy-Efficient Built Environments (BuildSys 2015), ACM, 4,
  November, 2015.

• Plain text

  Baihong Jin, Pierluigi Nuzzo, Mehdi Maasoumy, Yuxun Zhou,
  Alberto Sangiovanni-Vincentelli. "A Contract-Based
  Framework for Integrated Demand-Response Management in Smart
  Grids". International Conference on Embedded Systems
  For Energy-Efficient Built Environments (BuildSys 2015),
  ACM, 4, November, 2015.

• BibTeX

  @inproceedings{JinNuzzoMaasoumyZhouSangiovanniVincentelli15_ContractBasedFrameworkForIntegratedDemandResponseManagement,
      author = {Baihong Jin and Pierluigi Nuzzo and Mehdi Maasoumy
                and Yuxun Zhou and Alberto Sangiovanni-Vincentelli},
      title = {A Contract-Based Framework for Integrated
                Demand-Response Management in Smart Grids},
      booktitle = {International Conference on Embedded Systems For
                Energy-Efficient Built Environments (BuildSys 2015)},
      organization = {ACM},
      day = {4},
      month = {November},
      year = {2015},
      abstract = {Demand Response (DR) is considered a promising
                approach to cope with the increasing variability
                in power grids due to the penetration of renewable
                energy sources. However, it still remains a
                challenge to manage the aggregation of a large
                number of heterogeneous loads to achieve a desired
                response, especially at a fast time scale. In this
                paper, we present a system-level modeling and
                control design approach for DR management in smart
                grids, by following a contract-based methodology.
                Given a set of flexible DR loads, capable of
                adapting their power consumption upon external
                requests, we find a strategy for an aggregator to
                optimally track a DR requirement by combining the
                individual contribution of the DR components. In
                our framework, both the design requirements and
                the DR components' interfaces are specified by
                assume-guarantee contracts expressed using mixed
                integer linear constraints. Contracts are used to
                formulate an optimal control problem, which is
                solved repeatedly over time, in a receding horizon
                fashion. We illustrate the effectiveness of our
                methodology for a set of DR components including
                fans and pumps, showing that it enables modular
                development of non-disruptive DR control schemes.},
      URL = {http://terraswarm.org/pubs/616.html}
  }
  

Posted by Christopher Brooks on 21 Sep 2015.
Groups: tools