A robust hierarchical dispatch scheme for active distribution networks considering home thermal flexibility

Cody Rooks, Qingxin Shi, Fangxing Li, Jin Dong, Mohammed Olama, Yaosuo Xue, Christopher Winstead, Teja Kuruganti

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

2 Scopus citations

Abstract

Distribution networks are changing from passive absorbers of electric energy to active distribution networks (ADNs) capable of operating and participating in electricity markets. In the context of residential microgrids, aggregated home heating, ventilation and air-conditioning (HVAC) loads present a key opportunity to drive operational and economic objectives, facilitate high renewable energy penetration, and enhance both system resiliency and flexibility. A robust, hierarchical dispatch scheme is developed and presented in this paper, which connects an upper level multi-phase distribution optimal power flow (DOPF) to a lower level model predictive control (MPC)-based HVAC fleet controller. The approach is tested and verified on a modified IEEE 13 bus system in an intraday market application. The results demonstrate that the proposed hierarchical dispatch scheme is able to drive both economic and operational objectives for the ADN operator.

Original languageEnglish
Title of host publication2020 IEEE Power and Energy Society General Meeting, PESGM 2020
PublisherIEEE Computer Society
ISBN (Electronic)9781728155081
DOIs
StatePublished - Aug 2 2020
Event2020 IEEE Power and Energy Society General Meeting, PESGM 2020 - Montreal, Canada
Duration: Aug 2 2020Aug 6 2020

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2020-August
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2020 IEEE Power and Energy Society General Meeting, PESGM 2020
Country/TerritoryCanada
CityMontreal
Period08/2/2008/6/20

Funding

This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy.

Keywords

  • Active distribution networks
  • Demand response.
  • Distribution optimal power flow
  • Model predictive control

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