Market-based Co-optimization of Energy and Ancillary Services with Distributed Energy Resource Flexibilities

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

5 Scopus citations

Abstract

Energy storage systems and flexible loads have attracted significant interests due to their capabilities to provide various grid services. In this paper, the flexibilities are optimally allocated among multiple distributed energy resource aggregators with energy storage systems and flexible buildings by the utility coordinator through market-based co-optimization. An iterative market clearing algorithm is developed to determine the optimal energy and ancillary service prices, with consideration of both local dynamics and network constraints. Simulation results demonstrate the effectiveness of the proposed algorithm and the benefits of co-optimizing the energy and ancillary service markets.

Original languageEnglish
Title of host publication2020 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728145471
DOIs
StatePublished - Oct 12 2020
Event2020 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2020 - Chicago, United States
Duration: Oct 12 2020Oct 15 2020

Publication series

NameProceedings of the IEEE Power Engineering Society Transmission and Distribution Conference
Volume2020-October
ISSN (Print)2160-8555
ISSN (Electronic)2160-8563

Conference

Conference2020 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2020
Country/TerritoryUnited States
CityChicago
Period10/12/2010/15/20

Funding

The work herein was supported by the Transactive Control Program at Pacific Northwest National Laboratory (PNNL) funded by the U.S. Department of Energy’s Building Technologies Office. PNNL is operated for the U.S. Department of Energy by Battelle Memorial Institute under Contract DE-AC05-76RL01830.

Keywords

  • DER flexibility
  • energy and ancillary service co-optimization
  • market-based coordination

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