A Priority-Based Control Strategy and Performance Bound for Aggregated HVAC-Based Load Shaping

Xiaolin Hu, James Nutaro

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

Air conditioning systems have been recognized as a potential, cost-effective resource for shaping electrical load in a power system. This paper presents a new priority-based control strategy that explicitly addresses three requirements for using a collection of air conditioning units in this capacity. These are 1) tracking a regulation signal, 2) maintaining the building temperature near its set point, and 3) satisfying a cycling constraint of the air conditioners. After introducing the control strategy, we derive a bound for the regulation signal within which tracking is guaranteed while also satisfying the temperature requirement. These results are illustrated with simulations.

Original languageEnglish
Article number9018205
Pages (from-to)4133-4143
Number of pages11
JournalIEEE Transactions on Smart Grid
Volume11
Issue number5
DOIs
StatePublished - Sep 2020

Funding

Manuscript received August 10, 2019; revised November 3, 2019 and January 26, 2020; accepted February 20, 2020. Date of publication February 28, 2020; date of current version August 21, 2020. This work was supported in part by UT-Battelle, Limited Liability Company (LLC) through U.S. Department of Energy under Contract DE-AC05-00OR22725, and in part by the HERE Faculty Program at Oak Ridge National Laboratory. Paper no. TSG-01165-2019. (Corresponding author: Xiaolin Hu.) Xiaolin Hu is with the Department of Computer Science, Georgia State University, Atlanta, GA 30303 USA (e-mail: [email protected]).

Keywords

  • HVAC
  • Load shaping
  • control strategy
  • performance bound
  • smart grid

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