Robust Solution Approach for Bilevel Demand Response Game at Distribution Level

Yang Chen, Kadir Amasyali, Mohammed Olama, Byungkwon Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, a bilevel electricity pricing and demand response game between a distribution system operator (DSO) and load aggregators (LAs) is considered, and a robust decision model is proposed for the DSO to deal with the uncertainties from the wholesale market prices and demand consumptions of LAs. With the max-min objective at the upper level, the robust bilevel model is converted into a single level model by the Karush-Kuhn-Tucker (KKT) conditions and prime-dual transformation. Several groups of experiments have been conducted based on different preferences on uncertainty gaps and peak load reductions to show its effectiveness. After-the-fact scenario analysis has indicated that the robust solution is more beneficial in reducing the risk of inaccurate predictions as compared to the risk neutral strategy.

Original languageEnglish
Title of host publication2022 IEEE Power and Energy Society General Meeting, PESGM 2022
PublisherIEEE Computer Society
ISBN (Electronic)9781665408233
DOIs
StatePublished - 2022
Event2022 IEEE Power and Energy Society General Meeting, PESGM 2022 - Denver, United States
Duration: Jul 17 2022Jul 21 2022

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2022-July
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2022 IEEE Power and Energy Society General Meeting, PESGM 2022
Country/TerritoryUnited States
CityDenver
Period07/17/2207/21/22

Funding

Y. Chen is with the Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, USA (email: [email protected]) K. Amasyali, M. Olama, and B. Park are with the Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, USA (email: [email protected], [email protected], [email protected]) This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan) ACKNOWLEDGMENT This study was supported by the US Department of Energy (DOE), Office of Energy Efficiency and Renewable Energy, Building Technologies Office under contract DE-AC05-00OR22725.

Keywords

  • Demand response
  • Dual transformation
  • Load aggregator
  • Robust solution
  • Stackelberg game

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