基于改进萤火虫群算法的楼宇空调自适应送风控制研究  

Research on Adaptive Air Supply Control for Building Air Conditioning Based on Improved Firefly Swarm Algorithm

作　　者：朱彬 王松 ZHU Bin;WANG Song(State Grid Chongqing Electric Power Company Marketing Service Center,Yubei District,Chongqing 400023,China;State Grid Chongqing Electric Power Company,Yuzhong District,Chongqing 400000,China)

机构地区：[1]国网重庆市电力公司营销服务中心,重庆400023 [2]国网重庆市电力公司,重庆400000

出　　处：《自动化与仪器仪表》2025年第3期130-134,共5页Automation & Instrumentation

基　　金：国网重庆市电力公司重点科技项目《负荷保供背景下集群空调与多元负荷协同精准调控研究》(2024渝电科技31#)。

摘　　要：为了解决传统楼宇空调送风控制系统参数设置单一化和送风能耗高的问题,研究构建了一种楼宇空调自适应送风控制系统。首先利用萤火虫群算法对空调变风量构建了数学模型,然后在数学模型的基础上利用修剪响应算法进行改进,最后得到自适应送风系统。结果表明,在数据训练误差和送风数据采集对比中,混合算法的训练误差和数据采集误差分别为0.11和0.09。同时在楼宇空调自适应送风的能耗与通风稳定性对比中,混合算法的能耗平均值和稳定性平均值分别为6.72 kW和97.83%,算法表现出的性能均优于对比方法。这说明研究利用混合算法设计楼宇空调自适应送风系统不仅提高了送风控制的实时性和准确性,还显著降低了能耗,能够为楼宇空调的精细化控制提供新的路径。In order to solve the problems of single parameter settings and high energy consumption in traditional building air conditioning supply control systems,a building air conditioning adaptive supply control system was studied and constructed.Firstly,the firefly swarm algorithm was used to construct a mathematical model for the variable air volume of air conditioning.Then,based on the mathematical model,the pruning response algorithm was used to improve it,and finally,an adaptive air supply system was obtained.The results show that in the comparison of data training error and air supply data collection,the training error and data collection error of the hybrid algorithm are 0.11 and 0.09,respectively.At the same time,in the comparison of energy consumption and ventilation stability of adaptive air conditioning in buildings,the average energy consumption and stability of the hybrid algorithm are 6.72 kW and 97.83%,respectively,and the performance of the algorithm is better than that of the comparison method.This indicates that the study of using hybrid algorithms to design adaptive air supply systems for building air conditioning not only improves the real-time and accuracy of air supply control,but also significantly reduces energy consumption,providing a new path for fine control of building air conditioning.

关 键 词：修剪响应算法 萤火虫算法 空调系统 控制优化 

分 类 号：TP23[自动化与计算机技术—检测技术与自动化装置]