An aggregate model of the flexible energy demand of thermostatically controlled loads with explicit outdoor temperature dependency

Kári Hreinsson, Anna Scaglione, Mahnoosh Alizadeh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we describe an aggregate model of Thermostatically Controlled Loads (TCLs) for Demand Response (DR) scheduling that, through a new approximation, makes explicit the dependency between the feasible control region and the time series of outdoor temperatures. In turn, the model can easily account for non-constant, stochastic temperatures during the control period, expressing the feasible load control through a set of linear equations and constraints with stochastic parameters. To highlight this feature we present a stochastic optimization formulation for the management of the DR-TCL and compare it with its deterministic counterpart, and with various equivalent models aimed at reducing the complexity of the constraints in the market optimization.

Original languageEnglish (US)
Title of host publicationProceedings of the 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020
EditorsTung X. Bui
PublisherIEEE Computer Society
Pages3075-3084
Number of pages10
ISBN (Electronic)9780998133133
StatePublished - 2020
Event53rd Annual Hawaii International Conference on System Sciences, HICSS 2020 - Maui, United States
Duration: Jan 7 2020Jan 10 2020

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2020-January
ISSN (Print)1530-1605

Conference

Conference53rd Annual Hawaii International Conference on System Sciences, HICSS 2020
Country/TerritoryUnited States
CityMaui
Period1/7/201/10/20

ASJC Scopus subject areas

  • Engineering(all)

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