A Unified Virtual Battery Model for Responsive Assets

  • Peng Wang
  • , Bishnu Bhattarai
  • , Jianming Lian
  • , Donald J. Hammerstrom
  • , Ke Ma

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

5 Scopus citations

Abstract

We propose a unified virtual battery (VB) model for the flexibility of various responsive assets including batteries, thermostatically controllable loads (TCLs), deferrable loads, shiftable loads, and photovoltaics (PVs), Such a unified model lays a foundation to apply transactive control to responsive assets for ancillary service provision. We generalize the VB model to shiftable loads and PVs and make changes to the VB model of TCLs to make them more suitable to ancillary service provision with transactive control methods. In the unified model, we select a set of parameters to represent the flexibility of different responsive assets to provide ancillary services related to active power. The set of parameters includes an energy state, an energy upper bound, an energy lower bound, a power upper bound, and a power lower bound. These parameters are selected to be as few as required to represent the ancillary service provision flexibility of different responsive assets. We explain the meaning of these parameters to those responsive assets. We provide simulation examples to show the efficacy of the general model to deal with various responsive assets in a unified way.

Original languageEnglish
Title of host publication2019 IEEE Power and Energy Society General Meeting, PESGM 2019
PublisherIEEE Computer Society
ISBN (Electronic)9781728119816
DOIs
StatePublished - Aug 2019
Event2019 IEEE Power and Energy Society General Meeting, PESGM 2019 - Atlanta, United States
Duration: Aug 4 2019Aug 8 2019

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2019-August
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2019 IEEE Power and Energy Society General Meeting, PESGM 2019
Country/TerritoryUnited States
CityAtlanta
Period08/4/1908/8/19

Funding

This work was supported by the Transactive Systems program at the Pacific Northwest National Laboratory (PNNL) funded by the U.S. Department of Energy. PNNL is operated for the U.S. Department of Energy by Battelle Memorial Institute under Contract DE-AC05-76RL01830.

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