基于流量测点的热网变动阻力系数优化辨识  

Optimal Identification of Variable Resistance Coefficient of Heat Supply Network Based on Flow Measurement Points

作　　者：屠丽娟 周恩泽[1] 吴雪飞 杨琪 丁雪峰 TU Lijuan;ZHOU Enze;WU Xuefei;YANG Qi;DING Xuefeng(School of Environmental and Municipal Engineering,Qingdao University of Technology,Qingdao,Shandong 266033,China)

机构地区：[1]青岛理工大学环境与市政工程学院,山东青岛266033

出　　处：《计算物理》2021年第4期498-504,共7页Chinese Journal of Computational Physics

基　　金：中国政府/世界银行/全球环境基金-中国可再生能源规模化发展二期(QUT-2017-ZX-0010)资助项目。

摘　　要：随着供热计量系统的普及,系统可以根据负荷的变化进行调整,管网的阻力系数随即发生变化。对变动阻力系数进行优化辨识是了解供热管网实时运行状况的有效手段。提出一种基于流量监测数据的供热管网变动阻力系数优化辨识方法,并利用遗传算法进行求解。对洛阳市某小区供暖季管网实际运行数据进行验证,辨识结果的相对误差在5%以内。结果表明:该方法可以在只有流量观测数据时得到精度较高的供热管网变动阻力系数,为供热系统的运行调节提供指导。With popularity of heating metering system, system can be adjusted according to the change of load, and the resistance coefficient of pipe network change. Optimal identification of variable resistance coefficient is an effective means to understand the real-time operation of heating network. We present an optimal identification method for variable resistance coefficient of heat supply network based on flow observation data. Genetic algorithm is used to solve the problem. Relative error of the identification results is less than 5% in practical verification example. It shows that the method can obtain variable resistance coefficient of heating network with high accuracy when only flow observation data is available. It can provide guidance for the operation and regulation of heating systems.

关 键 词：供热管网 无压力测点 变动阻力系数 优化辨识 遗传算法 

分 类 号：TK323[动力工程及工程热物理—热能工程]