Optimal control of chillers for central air-conditioning systems

闫秀联; 王乐唯; 刘 盼; 吉星星; 闫秀英

doi:10.3969/j.issn.1009-1831.2022.04.012

您当前的位置：

首页 >

文章列表页 >

Optimal control of chillers for central air-conditioning systems

更新时间：2026-03-05

- Optimal control of chillers for central air-conditioning systems
- Vol. 24, Issue 4, (2022)
- 作者机构：
  
  1. 西安建筑科技大学华清学院,西安,710043
  2. 西安闻泰信息技术有限公司,西安,710000
  3. 西安建筑科技大学信息与控制工程学院,西安,710055
  4. 西安建筑科技大学建筑设备与科学学院,西安,710055
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2022.04.012
  CLC：
- Published：2022
- 稿件说明：
移动端阅览
闫秀联, 王乐唯, 刘盼, et al. Optimal control of chillers for central air-conditioning systems[J]. 2022, 24(4).
DOI：

闫秀联, 王乐唯, 刘盼, et al. Optimal control of chillers for central air-conditioning systems[J]. 2022, 24(4). DOI： 10.3969/j.issn.1009-1831.2022.04.012.

摘要

空调负荷已经成为我国夏季用电的主要负荷之一，而冷水机组是中央空调系统中消耗功率最大的部分。对于多台机组联合运行的系统，每台冷水机组常在部分负荷下运行。基于用户侧需求响应情况，采用多项式回归的方法建立了COP-PLR 4次多项式回归模型。以使冷水机组运行能耗最小建立目标函数，研究了改进混合遗传算法优化冷水机组PLR的控制策略，通过优化各台冷水机组的PLR以提高机组系统的整体COP。与原有控制方法对比，该典型日能耗减少了702 kW，节能率为8.48%，验证了该优化方法的可行性。

Abstract

Air conditioning load has become one of the main loads of summer electricity consumption in China

and chiller is the largest part of the central air conditioning system power consumption. For a system with multiple units operating together

each chiller often operates under partial load. Based on the user-side demand response

the quaternary polynomial regression model of COP-PLR is established by polynomial regression method. In order to minimize the operating energy consumption of the chiller

the objective function is established

and the control strategy of optimizing PLR of the chiller with improved hybrid genetic algorithm is studied.The overall COP of the chiller is improved by optimizing PLR of each chiller.Compared with the original control method

the typical daily energy consumption is reduced by 702 kW

and the energy saving rate is 8.48%

which verifies the feasibility of the optimization method.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Potential evaluation of air conditioning load demand response based on time-sequential migration strategy

Potential analysis of 5G macro base station’s air conditioning load participating in demand response

Bidding strategy for air⁃conditioning load aggregator considering consumers’behaviour preference

The performance analysis of automated demand response control strategies for air conditionings adopted in American commercial buildings

美国阔叶树材——可持续利用的木材资源记首届美国阔叶树材外销委员会东南亚区大会

Related Author

刘京易

刘陈城

费伟伟

郑杨

任禹丞

王雨薇

龙禹

赵猛

Related Institution

国网江苏省电力有限公司

国网江苏省电力有限公司镇江供电分公司

国网江苏省电力有限公司南通供电分公司

国网（北京）综合能源规划设计研究院有限公司

国网天津市电力公司

AI问答

⁰