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

Citation
Yash Vardhan Pant, Truong X. Nghiem, Rahul Mangharam. "Lean Control: Peak Power Reduction in Hybrid Energy Systems with Limited Load Forecasts". Talk or presentation, 19, September, 2014.

Abstract
Hybrid energy systems, which consist of a load powered by a source and a form of energy storage, find applications in many systems, e.g., the electric grid and electric vehicles. A key problem for hybrid energy systems is the reduction of peak power consumption to ensure cost-efficient operation as peak power draws require additional resources and adversely affect the system reliability and lifetime. Furthermore, in some cases such as electric vehicles, the load dynamics are fast, not perfectly known in advance and the on-board computation power is often limited, making the implementation of traditional optimal control difficult. We aim 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. For a case study, we implement the scheme for a battery-supercapacitor-powered 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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Citation formats  
  • HTML
    Yash Vardhan Pant, Truong X. Nghiem, Rahul Mangharam. <a
    href="http://www.terraswarm.org/pubs/375.html"
    ><i>Lean Control: Peak Power Reduction  in Hybrid
    Energy Systems with  Limited Load
    Forecasts</i></a>, Talk or presentation,  19,
    September, 2014.
  • Plain text
    Yash Vardhan Pant, Truong X. Nghiem, Rahul Mangharam.
    "Lean Control: Peak Power Reduction  in Hybrid Energy
    Systems with  Limited Load Forecasts". Talk or
    presentation,  19, September, 2014.
  • BibTeX
    @presentation{PantNghiemMangharam14_LeanControlPeakPowerReductionInHybridEnergySystemsWith,
        author = {Yash Vardhan Pant and Truong X. Nghiem and Rahul
                  Mangharam},
        title = {Lean Control: Peak Power Reduction  in Hybrid
                  Energy Systems with  Limited Load Forecasts},
        day = {19},
        month = {September},
        year = {2014},
        abstract = {Hybrid energy systems, which consist of a load
                  powered by a source and a form of energy storage,
                  find applications in many systems, e.g., the
                  electric grid and electric vehicles. A key problem
                  for hybrid energy systems is the reduction of peak
                  power consumption to ensure cost-efficient
                  operation as peak power draws require additional
                  resources and adversely affect the system
                  reliability and lifetime. Furthermore, in some
                  cases such as electric vehicles, the load dynamics
                  are fast, not perfectly known in advance and the
                  on-board computation power is often limited,
                  making the implementation of traditional optimal
                  control difficult. We aim 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. For a
                  case study, we implement the scheme for a
                  battery-supercapacitor-powered 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/375.html}
    }
    

Posted by Yash Vardhan Pant on 19 Sep 2014.
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