基于改进状态空间模型的空调负荷控制策略

TIAN Aina

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基于改进状态空间模型的空调负荷控制策略

更新时间：2025-08-13

- 基于改进状态空间模型的空调负荷控制策略
- Automation of Electric Power Systems Vol. 43, Issue 8, Pages: 124-130(2019)
- 作者机构：
  
  哈尔滨工业大学电气工程及自动化学院,黑龙江省,哈尔滨市,150001
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2019
- 稿件说明：
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TIAN Aina. [J]. Automation of electric power systems, 2019, 43(8): 124-130.
DOI：

TIAN Aina. [J]. Automation of electric power systems, 2019, 43(8): 124-130. DOI：

摘要

空调负荷因其可中断特性可以实现系统控制信号的快速响应与调节。提出了一种基于改进状态空间模型的空调负荷控制策略。首先扩展状态空间长度，建立了更为精确的改进状态空间模型，实现无控条件下空调负荷聚合特性的跟踪。在此基础上，建立了空调聚合控制模型，实现温控信号下空调负荷动态聚合特性的跟踪。最后，对空调群进行温度优化控制，实现空调群的负荷调节。仿真结果验证了空调负荷的改进状态空间模型、聚合控制模型和温度优化控制策略的有效性。

Abstract

Air conditioning load

as an important interruptible load

can respond to system control signals quickly. An aggregated control strategy of air conditioning load based on improved state-space model is proposed. By extending the state-space length

the improved state-space model with high-accuracy is established to track the aggregated characteristics of uncontrolled air conditioning load. Then

an aggregated control model that takes into account temperature control signals is proposed to track the dynamic collective behavior of the air conditioning load. Finally

an optimal temperature control strategy is proposed to implement the power adjustment of air conditioning load. Simulation results are demonstrated to verify the improved state space model

the aggregated control model and the optimal temperature control strategy.

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