Probability Control Strategy of Temperature Set-point for Air Conditioning Load Participating in Frequency Regulation of Power System

BAO Yuqing; YAO Zili

doi:10.7500/AEPS20220220001

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Probability Control Strategy of Temperature Set-point for Air Conditioning Load Participating in Frequency Regulation of Power System

Basic Research | 更新时间：2025-06-16

- Probability Control Strategy of Temperature Set-point for Air Conditioning Load Participating in Frequency Regulation of Power System
- Automation of Electric Power Systems Vol. 47, Issue 2, Pages: 69-78(2023)
- 作者机构：
  
  1.南京师范大学南瑞电气与自动化学院,江苏省南京市 210046
  2.江苏省综合能源设备及集成国际联合实验室,江苏省南京市 210046
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(51707099);Postgraduate Research & Practice Innovation Program of Jiangsu Province(1812000024969)
- DOI：10.7500/AEPS20220220001
  CLC：
- Received：20 February 2022，
  
  Revised：2022-05-13，
  
  Published Online：29 November 2022，
  
  Published：25 January 2023
- 稿件说明：
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包宇庆,姚兹丽.空调负荷参与电力系统调频的温度设定值概率控制策略[J].电力系统自动化,2023,47(2):69-78.

BAO Yuqing,YAO Zili.Probability Control Strategy of Temperature Set-point for Air Conditioning Load Participating in Frequency Regulation of Power System[J].Automation of Electric Power Systems,2023,47(2):69-78.
包宇庆,姚兹丽.空调负荷参与电力系统调频的温度设定值概率控制策略[J].电力系统自动化,2023,47(2):69-78. DOI： 10.7500/AEPS20220220001.

BAO Yuqing,YAO Zili.Probability Control Strategy of Temperature Set-point for Air Conditioning Load Participating in Frequency Regulation of Power System[J].Automation of Electric Power Systems,2023,47(2):69-78. DOI： 10.7500/AEPS20220220001.

摘要

作为一类重要的需求响应资源，空调负荷能够实时调节有功负荷进而参与电力系统调频。传统温度设定值控制方式假设空调的温度设定值连续可调，而忽略了空调的最小温度调节步长（MSoTA）。针对绝大多数空调MSoTA 为1 ℃，提出一种基于温度设定值调节概率（TSPAP）的空调负荷控制策略，使得空调负荷集群的聚合功率连续可调，以更好地参与电力系统调频。所提出的方法采用双层广播控制的框架，将空调负荷划分为6种独立的状态，并根据不同的状态将功率调节需求调制成TSPAP。TSPAP作为全局控制信号下发给各个分散控制器，并被解调为±1 ℃的温度设定值调节信号，下发给各个空调。仿真结果表明，该方法能够在单个空调MSoTA为1 ℃的情况下，实现对大量空调负荷聚合功率的连续调节，从而在一次调频和二次调频中获得更好的效果。

Abstract

As an important demand response resource

the air conditioning load can adjust the active load in real time and participate in the frequency regulation of power systems. The traditional temperature set-point control method assumes that the temperature set-point of the air conditioner is continuously adjustable

which ignores the minimum stepsize of temperature adjustment (MSoTA) of the air conditioner. Since the MSoTA of most air conditioners is 1 ℃

a control strategy of the air conditioning load based on temperature set-point adjustment probability (TSPAP) is proposed

which makes the aggregate power of the air conditioning load cluster continuously adjustable

so as to better participate in the frequency regulation of power systems. The proposed method uses the framework of two-layer broadcasting control to divide the air conditioning loads into six independent states

and the power regulation demand is modulated into TSPAP according to different states. TSPAP is sent to each decentralized controller as a global control signal

and is demodulated to the temperature set-point adjustment signal of ±1 ℃

which is sent to each air conditioner. The simulation results show that the proposed method can continuously adjust the aggregate power of a large number of air conditioning loads under the condition that the MSoTA of a single air conditioner is 1 ℃

so as to obtain better results in the primary and secondary frequency regulation.

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references

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