Citation
Mehdi Maasoumy, Borhan Sanandaji, Alberto Sangiovanni-Vincentelli. "Model Predictive Control of Regulation Services from Commercial Buildings to the Smart Grid". IEEE American Control Conference, 4, June, 2014.

Abstract
We first demonstrate that the demand-side flexibility of the Heating Ventilation and Air Conditioning (HVAC) system of a typical commercial building can be exploited for providing frequency regulation service to the power grid using at-scale experiments. We then show how this flexibility in power consumption of building HVAC system can be leveraged for providing regulation service. To this end, we consider a simplified model of the power grid with uncertain demand and generation. We present a Model Predictive Control (MPC) scheme to direct the ancillary service power flow from buildings to improve upon the classical Automatic Generation Control (AGC) practice. We show how constraints such as slow and fast ramping rates for various ancillary service providers, and short-term load forecast information can be integrated into the proposed MPC framework. Finally, we provide extensive simulation results to illustrate the effectiveness of the proposed methodology for enhancing grid frequency regulation.

Electronic downloads

• https://www.src.org/library/publication/p069384/. (Link to publication on SRC website.)
• http://dx.doi.org/10.1109/ACC.2014.6859332

• HTML

  Mehdi Maasoumy, Borhan Sanandaji, Alberto
  Sangiovanni-Vincentelli. <a
  href="http://www.terraswarm.org/pubs/256.html"
  >Model Predictive Control of Regulation Services from
  Commercial Buildings to the Smart Grid</a>, IEEE
  American Control Conference, 4, June, 2014.

• Plain text

  Mehdi Maasoumy, Borhan Sanandaji, Alberto
  Sangiovanni-Vincentelli. "Model Predictive Control of
  Regulation Services from Commercial Buildings to the Smart
  Grid". IEEE American Control Conference, 4, June, 2014.

• BibTeX

  @inproceedings{MaasoumySanandajiSangiovanniVincentelli14_ModelPredictiveControlOfRegulationServicesFromCommercial,
      author = {Mehdi Maasoumy and Borhan Sanandaji and Alberto
                Sangiovanni-Vincentelli},
      title = {Model Predictive Control of Regulation Services
                from Commercial Buildings to the Smart Grid},
      booktitle = {IEEE American Control Conference},
      day = {4},
      month = {June},
      year = {2014},
      abstract = {We first demonstrate that the demand-side
                flexibility of the Heating Ventilation and Air
                Conditioning (HVAC) system of a typical commercial
                building can be exploited for providing frequency
                regulation service to the power grid using
                at-scale experiments. We then show how this
                flexibility in power consumption of building HVAC
                system can be leveraged for providing regulation
                service. To this end, we consider a simplified
                model of the power grid with uncertain demand and
                generation. We present a Model Predictive Control
                (MPC) scheme to direct the ancillary service power
                flow from buildings to improve upon the classical
                Automatic Generation Control (AGC) practice. We
                show how constraints such as slow and fast ramping
                rates for various ancillary service providers, and
                short-term load forecast information can be
                integrated into the proposed MPC framework.
                Finally, we provide extensive simulation results
                to illustrate the effectiveness of the proposed
                methodology for enhancing grid frequency
                regulation.},
      URL = {http://terraswarm.org/pubs/256.html}
  }
  

Posted by Mehdi Maasoumy on 10 Feb 2014.