Citation
Yash V. Pant, Truong X. Nghiem, Rahul Mangharam. "Peak Power Reduction in Hybrid Energy Systems with Limited Load Forecasts". 2014 American Control Conference (ACC), American Automatic Control Council, 4, June, 2014.

Abstract
Hybrid energy systems consist of a load powered by a source and a form of energy storage. Systems with mixed energy supply find applications in the electric grid with renewable and non-renewable sources, in mission critical systems such as Mars rovers with rechargeable and non-rechargeable batteries and low-power monitoring systems with energy harvesting. A general problem for hybrid energy systems is the reduction of peak power consumption to ensure cost-efficient operation as peak power draws require additional resources, adversely affect the system reliability and storage lifetime. Furthermore, in some cases such as electric vehicles, the load dynamics are fast, not perfectly known a priori and the computation power available is often limited, making the implementation of traditional optimal control difficult. This paper aims to develop a control scheme to reduce the peak power drawn from the source for hybrid energy systems with limited computation power and limited load forecasts. We propose a scheme with two control levels and provide a sufficient condition for control of the different energy storage/generation components to meet the instantaneous load while satisfying a peak power threshold. The scheme provides performance comparable to Model Predictive Control, while requiring less computation power and only coarse-grained load predictions. As a case study we implement the scheme for a battery-supercapacitor system in an electric vehicle with real world drive cycles to demonstrate the low execution time and effective reduction of the battery power (hence temperature), which is crucial to the lifetime of the battery.

Electronic downloads

• https://www.src.org/library/publication/p069532/. (Link to publication on SRC website.)
• http://repository.upenn.edu/cgi/viewcontent.cgi?article=1084&context=mlab_papers

• HTML

  Yash V. Pant, Truong X. Nghiem, Rahul Mangharam. <a
  href="http://www.terraswarm.org/pubs/282.html"
  >Peak Power Reduction in Hybrid Energy Systems with
  Limited Load Forecasts</a>, 2014 American Control
  Conference (ACC), American Automatic Control Council, 4,
  June, 2014.

• Plain text

  Yash V. Pant, Truong X. Nghiem, Rahul Mangharam. "Peak
  Power Reduction in Hybrid Energy Systems with Limited Load
  Forecasts". 2014 American Control Conference (ACC),
  American Automatic Control Council, 4, June, 2014.

• BibTeX

  @inproceedings{PantNghiemMangharam14_PeakPowerReductionInHybridEnergySystemsWithLimitedLoad,
      author = {Yash V. Pant and Truong X. Nghiem and Rahul
                Mangharam},
      title = {Peak Power Reduction in Hybrid Energy Systems with
                Limited Load Forecasts},
      booktitle = {2014 American Control Conference (ACC)},
      organization = {American Automatic Control Council},
      day = {4},
      month = {June},
      year = {2014},
      abstract = {Hybrid energy systems consist of a load powered by
                a source and a form of energy storage. Systems
                with mixed energy supply find applications in the
                electric grid with renewable and non-renewable
                sources, in mission critical systems such as Mars
                rovers with rechargeable and non-rechargeable
                batteries and low-power monitoring systems with
                energy harvesting. A general problem for hybrid
                energy systems is the reduction of peak power
                consumption to ensure cost-efficient operation as
                peak power draws require additional resources,
                adversely affect the system reliability and
                storage lifetime. Furthermore, in some cases such
                as electric vehicles, the load dynamics are fast,
                not perfectly known a priori and the computation
                power available is often limited, making the
                implementation of traditional optimal control
                difficult. This paper aims to develop a control
                scheme to reduce the peak power drawn from the
                source for hybrid energy systems with limited
                computation power and limited load forecasts. We
                propose a scheme with two control levels and
                provide a sufficient condition for control of the
                different energy storage/generation components to
                meet the instantaneous load while satisfying a
                peak power threshold. The scheme provides
                performance comparable to Model Predictive
                Control, while requiring less computation power
                and only coarse-grained load predictions. As a
                case study we implement the scheme for a
                battery-supercapacitor system in an electric
                vehicle with real world drive cycles to
                demonstrate the low execution time and effective
                reduction of the battery power (hence
                temperature), which is crucial to the lifetime of
                the battery. },
      URL = {http://terraswarm.org/pubs/282.html}
  }
  

Posted by Barb Hoversten on 1 Mar 2014.