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

Abstract

Air conditioning systems have been recognized as a potential, cost-effective resource for shaping electrical load in a power system. This work 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.

Authors:
ORCiD logo [1]; ORCiD logo [2]
+ Show Author Affiliations
  1. Georgia State Univ., Atlanta, GA (United States)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1659636
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
IEEE Transactions on Smart Grid
Additional Journal Information:
Journal Volume: 11; Journal Issue: 5; Journal ID: ISSN 1949-3053
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; Load shaping; HVAC; control strategy; performance bound; smart grid

Citation Formats

Hu, Xiaolin, and Nutaro, James J. A Priority-Based Control Strategy and Performance Bound for Aggregated HVAC-Based Load Shaping. United States: N. p., 2020. Web. doi:10.1109/tsg.2020.2977203.
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Hu, Xiaolin, & Nutaro, James J. A Priority-Based Control Strategy and Performance Bound for Aggregated HVAC-Based Load Shaping. United States. https://doi.org/10.1109/tsg.2020.2977203
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Hu, Xiaolin, and Nutaro, James J. Fri . "A Priority-Based Control Strategy and Performance Bound for Aggregated HVAC-Based Load Shaping". United States. https://doi.org/10.1109/tsg.2020.2977203. https://www.osti.gov/servlets/purl/1659636.
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@article{osti_1659636,
title = {A Priority-Based Control Strategy and Performance Bound for Aggregated HVAC-Based Load Shaping},
author = {Hu, Xiaolin and Nutaro, James J.},
abstractNote = {Air conditioning systems have been recognized as a potential, cost-effective resource for shaping electrical load in a power system. This work 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.},
doi = {10.1109/tsg.2020.2977203},
journal = {IEEE Transactions on Smart Grid},
number = 5,
volume = 11,
place = {United States},
year = {2020},
month = {2}
}
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Journal Article:
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Publisher's Version of Record
https://doi.org/10.1109/tsg.2020.2977203
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Cited by: 5 works
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Works referenced in this record:

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    Works referencing / citing this record:

    Occupancy-Driven Stochastic Decision Framework for Ranking Commercial Building Loads
    preprint, January 2021

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