A Distributed Energy Management Approach for Residential Demand Response

Xiao Kou, Fangxing Li, Jin Dong, Michael Starke, Jeffery Munk, Teja Kuruganti, Helia Zandi

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

11 Scopus citations

Abstract

The implementation of large-scale optimization and control of residential appliances to support demand response (DR) programs comes with the challenges of coordinated communication, privacy, and consideration of customer preferences. Solving this complexity is best suited through a distributed optimization and control approach at the residential level by leveraging the availability and intelligence of a home energy management systems (HEMS). In this paper, a hierarchical control scheme to coordinate large-scale residential demand response through coordination of HEMs is proposed. This scheme is based on the exchange of a reward price and aggregated load information between utility system and HEMS. Numerical results on a one hundred-house model demonstrate the computational efficiency of the proposed approach.

Original languageEnglish
Title of host publicationProceedings - 2019 3rd International Conference on Smart Grid and Smart Cities, ICSGSC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages170-175
Number of pages6
ISBN (Electronic)9781728138480
DOIs
StatePublished - Jun 2019
Event3rd International Conference on Smart Grid and Smart Cities, ICSGSC 2019 - Berkeley, United States
Duration: Jun 25 2019Jun 28 2019

Publication series

NameProceedings - 2019 3rd International Conference on Smart Grid and Smart Cities, ICSGSC 2019

Conference

Conference3rd International Conference on Smart Grid and Smart Cities, ICSGSC 2019
Country/TerritoryUnited States
CityBerkeley
Period06/25/1906/28/19

Funding

ACKNOWLEDGMENT Research sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U.S. Department of Energy. This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the US Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy 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).

Keywords

  • HVAC
  • distributed computation
  • home energy management system (HEMS)
  • load aggregator
  • residential demand response
  • water heater

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