This work focuses on using variations of the Frank-Wolfe (FW) algorithm for solving unit commitment problems with high volumes of demand responsive loads on the power grid. We present a formulation of the unit commitment problem with demand responsive loads. We then show through reformulation and relaxations of the problem that variations of the Frank-Wolfe algorithm can be used to determine the time series decisions for the demand responsive loads. We show through computational experiments on the IEEE Reliability Test System that the timeseries of demand responsive load decisions obtained through our approach are near optimal and describe how large-scale parallel implementations of our approach can be highly computationally efficient.
Original languageAmerican English
StatePublished - 2022

Publication series

NamePresented at the 2022 IEEE Power & Energy Society General Meeting, 17-21 July 2022, Denver, Colorado

NREL Publication Number

  • NREL/PO-2C00-83433


  • demand response
  • Frank-Wolfe Algorithm
  • unit commitment


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