Peak Power Reduction in Hybrid Energy Systems with Limited Load Forecasts
Yash V. Pant, Truong X. Nghiem, Rahul Mangharam

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.

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  • 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.

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