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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]
  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.
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
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.
@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 = {Fri Feb 28 00:00:00 EST 2020},
month = {Fri Feb 28 00:00:00 EST 2020}
}

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Cited by: 8 works
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Works referenced in this record:

Aggregated Modeling and Control of Air Conditioning Loads for Demand Response
journal, November 2013

  • Zhang, Wei; Lian, Jianming; Chang, Chin-Yao
  • IEEE Transactions on Power Systems, Vol. 28, Issue 4, p. 4655-4664
  • DOI: 10.1109/TPWRS.2013.2266121

Model Predictive Control of Aggregated Heterogeneous Second-Order Thermostatically Controlled Loads for Ancillary Services
journal, May 2016


Coordination and Control of Building HVAC Systems to Provide Frequency Regulation to the Electric Grid
journal, July 2018

  • Olama, Mohammed; Kuruganti, Teja; Nutaro, James
  • Energies, Vol. 11, Issue 7
  • DOI: 10.3390/en11071852

Generalized aggregation and coordination of residential loads in a smart community
conference, November 2015


Modeling Uncertainties in Aggregated Thermostatically Controlled Loads Using a State Queueing Model
journal, May 2005

  • Lu, N.; Chassin, D. P.; Widergren, S. E.
  • IEEE Transactions on Power Systems, Vol. 20, Issue 2
  • DOI: 10.1109/TPWRS.2005.846072

Modeling and Control of Aggregate Air Conditioning Loads for Robust Renewable Power Management
journal, July 2013

  • Bashash, Saeid; Fathy, Hosam K.
  • IEEE Transactions on Control Systems Technology, Vol. 21, Issue 4
  • DOI: 10.1109/TCST.2012.2204261

Aggregate model for heterogeneous thermostatically controlled loads with demand response
conference, July 2012


Hierarchical Control of Residential HVAC Units for Primary Frequency Regulation
journal, July 2018


Aggregate Flexibility of Thermostatically Controlled Loads
journal, January 2015

  • Hao, He; Sanandaji, Borhan M.; Poolla, Kameshwar
  • IEEE Transactions on Power Systems, Vol. 30, Issue 1
  • DOI: 10.1109/TPWRS.2014.2328865

Experimental Evaluation of Frequency Regulation From Commercial Building HVAC Systems
journal, March 2015

  • Lin, Yashen; Barooah, Prabir; Meyn, Sean
  • IEEE Transactions on Smart Grid, Vol. 6, Issue 2
  • DOI: 10.1109/TSG.2014.2381596

Thermostatic Load Control for System Frequency Regulation Considering Daily Demand Profile and Progressive Recovery
journal, November 2019

  • Shi, Qingxin; Li, Fangxing; Liu, Guangxi
  • IEEE Transactions on Smart Grid, Vol. 10, Issue 6
  • DOI: 10.1109/TSG.2019.2900724

Frequency Regulation From Commercial Building HVAC Demand Response
journal, April 2016


Achieving Controllability of Electric Loads
journal, January 2011


A regulation capacity reset strategy for HVAC frequency regulation control
journal, February 2019


A Stability Analysis of Thermostatically Controlled Loads for Power System Frequency Control
journal, January 2017


Works referencing / citing this record:

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