Control Strategies of Large-scale Residential Air Conditioning Loads Participating in Demand Response Programs

Jixiang Wang; Xingying Chen; Jun Xie; Shuyang Xu; Kun Yu; Lei Gan

doi:10.17775/CSEEJPES.2019.02500

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Control Strategies of Large-scale Residential Air Conditioning Loads Participating in Demand Response Programs

Regular Papers | 更新时间：2026-10-15

- Control Strategies of Large-scale Residential Air Conditioning Loads Participating in Demand Response Programs
- Control Strategies of Large-scale Residential Air Conditioning Loads Participating in Demand Response Programs
- 中国电机工程学会电力与能源系统学报(英文) 2022年8卷第3期页码：880-893
- 作者机构：
  
  College of Energy and Electrical Engineering, Hohai University,Nanjing,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2019.02500
  中图分类号：
- 纸质出版：2022-05-01
- 稿件说明：
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Jixiang Wang, Xingying Chen, Jun Xie, 等. Control Strategies of Large-scale Residential Air Conditioning Loads Participating in Demand Response Programs[J]. 中国电机工程学会电力与能源系统学报(英文), 2022,8(3):880-893.

Jixiang Wang, Xingying Chen, Jun Xie, et al. Control Strategies of Large-scale Residential Air Conditioning Loads Participating in Demand Response Programs[J]. CSEE Journal of Power and Energy Systems, 2022, 8(3): 880-893.
Jixiang Wang, Xingying Chen, Jun Xie, 等. Control Strategies of Large-scale Residential Air Conditioning Loads Participating in Demand Response Programs[J]. 中国电机工程学会电力与能源系统学报(英文), 2022,8(3):880-893. DOI： 10.17775/CSEEJPES.2019.02500.

Jixiang Wang, Xingying Chen, Jun Xie, et al. Control Strategies of Large-scale Residential Air Conditioning Loads Participating in Demand Response Programs[J]. CSEE Journal of Power and Energy Systems, 2022, 8(3): 880-893. DOI： 10.17775/CSEEJPES.2019.02500.

摘要

Abstract

Residential air conditioning (RAC) loads have great potential to be included in demand response (DR) programs. This paper studies large-scale RAC loads participating in DR programs

such as modeling

parameters identification

DR characteristics and control strategies. First

an aggregate model of large-scale RAC loads are established based on the buildings' performance with heat storage and insulation

avoiding the calculation of a single RAC model. Then

parameters of the aggregate model are identified based on the RACs' power and outdoor temperatures. Based on the aggregate model

DR characteristics of RAC loads are analyzed

including the dynamic relationship between power

outdoor and indoor temperature

and the potential of DR combined with the users' comfort. Next

the DR control strategies adapted for large-scale RAC loads are established by adjusting the temperature set-points. The DR strategies consider users' comfort and calculate the control signals of each RAC load according to the DR power

including adjustment temperature and adjustment time

which are sent to each RAC load for execution. In the DR process

the control center does not need to obtain the users' indoor temperature

which is conducive to protecting the users' privacy. DR strategies of RAC loads when the control degree within/beyond the DR potential are both proposed

and a load recovery control strategy is also introduced. Finally

the effectiveness and accuracy of the proposed model and DR control strategies are verified by simulation results.

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Keywords

references

17. GridLAB-D , [Online ] . Available: http://www.gridlabd.org/.

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