Solving Unit Commitment Problems with Demand Responsive Loads

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper focuses on using variations of the Frank-Wolfe 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 time series 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
Number of pages5
DOIs
StatePublished - 2022
Event2022 IEEE Power and Energy Society General Meeting, PESGM 2022 - Denver, United States
Duration: 17 Jul 202221 Jul 2022

Conference

Conference2022 IEEE Power and Energy Society General Meeting, PESGM 2022
Country/TerritoryUnited States
CityDenver
Period17/07/2221/07/22

Bibliographical note

See NREL/CP-2C00-81362 for preprint

NREL Publication Number

  • NREL/CP-2C00-84982

Keywords

  • Demand Response
  • Frank-Wolfe Algorithm
  • Unit Commitment

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