Aggregate load models for demand response: Exploring flexibility

Kari Hreinsson; Anna Scaglione; Vijay Vittal

doi:10.1109/GlobalSIP.2016.7905978

Aggregate load models for demand response: Exploring flexibility

Kari Hreinsson, Anna Scaglione, Vijay Vittal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

This paper describes new aggregate load models of batteries, electric vehicles (EVs) and deferrable appliances (DAs), for use in demand response (DR). Compared to other models that have previously appeared in the literature, the low order models we propose aggregate large populations of devices that share certain parameters. The models also reveal various characteristics of populations of DR devices, such as aggregate energy demand, flexibility and ramping potential. We further look at the different ways the aggregate model consumes energy, identify strategies that bound all others in terms of stored energy and use those to predict the future feasible operating region.

Original language	English (US)
Title of host publication	2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	926-930
Number of pages	5
ISBN (Electronic)	9781509045457
DOIs	https://doi.org/10.1109/GlobalSIP.2016.7905978
State	Published - Apr 19 2017
Event	2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Washington, United States Duration: Dec 7 2016 → Dec 9 2016

Other

Other	2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016
Country	United States
City	Washington
Period	12/7/16 → 12/9/16

Keywords

Demand Response
Energy Storage
Load Aggregation
Load Shifting
Reserve Capacity

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

Access to Document

10.1109/GlobalSIP.2016.7905978

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Aggregate load models for demand response : Exploring flexibility. / Hreinsson, Kari; Scaglione, Anna ; Vittal, Vijay.

2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 926-930 7905978.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hreinsson, K, Scaglione, A & Vittal, V 2017, Aggregate load models for demand response: Exploring flexibility. in 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings., 7905978, Institute of Electrical and Electronics Engineers Inc., pp. 926-930, 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016, Washington, United States, 12/7/16. https://doi.org/10.1109/GlobalSIP.2016.7905978

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