| 注册
首页|期刊导航|南方电网技术|考虑多重因素的空调虚拟储能响应潜力评估与分层优先排序控制策略

考虑多重因素的空调虚拟储能响应潜力评估与分层优先排序控制策略

黄如玉 程若发 吕翔龙

南方电网技术2026,Vol.20Issue(7):80-89,10.
✕
南方电网技术2026,Vol.20Issue(7):80-89,10.DOI:10.13648/j.cnki.issn1674-0629.2026.07.008

考虑多重因素的空调虚拟储能响应潜力评估与分层优先排序控制策略

Assessment of Virtual Energy Storage Response Potential and Hierarchical Prioritization Control Strategy for Air Conditioners Considering Multiple Factors

黄如玉 1程若发 1吕翔龙1

作者信息

  • 1. 南昌航空大学信息工程学院,南昌 330000
  • 折叠

摘要

Abstract

With the development of society,air conditioning load becomes an indispensable resource in demand response,and reason-able regulation and control of air conditioning can alleviate the shortage of power resources.Therefore,an air conditioning control strategy is proposed considering multiple factors.Firstly,based on the electric heating parameter model of inverter air conditioner,combined with multiple factors such as user satisfaction,thermal comfort and load controllability,the response potential evaluation model of air conditioning load cluster is established.Secondly,the micro-element method is introduced to decompose the demand response time of grid dispatching,and the micro-element virtual energy storage prioritization strategy is proposed based on the idea of virtual energy storage.Finally,a two-stage air conditioning load prioritization control model considering multiple factors is constructed.The simulation results show that the control strategy proposed in this paper can meet the needs of tracking power grid dispatching,improve the user's willingness and reduce the user's controlled frequency.In this way,under the condition of meeting the power demand of the power system,the satisfaction of users in participating in demand response can be effectively improved.

关键词

空调负荷/需求响应潜力/虚拟储能/优先排序策略/多因素

Key words

air conditioning load/demand response potential/virtual energy storage/prioritization strategy/multi-factor

分类

信息技术与安全科学

引用本文复制引用

黄如玉,程若发,吕翔龙..考虑多重因素的空调虚拟储能响应潜力评估与分层优先排序控制策略[J].南方电网技术,2026,20(7):80-89,10.

基金项目

国家自然科学基金资助项目(52367011) (52367011)

江西省自然科学基金资助项目(20232ACB204023). Supported by the National Natural Science Foundation of China(52367011) (20232ACB204023)

the Natural Science Foundation of Jiangxi Province(20232ACB204023). (20232ACB204023)

南方电网技术

1674-0629

访问量0
|
下载量0
段落导航相关论文