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.

Electronic downloads


Internal. This publication has been marked by the author for TerraSwarm-only distribution, so electronic downloads are not available without logging in.
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

Notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright.