基于BP神经网络和多因素权重分析的气热除冰温度影响因素研究  

Influencing factors of air thermal deicing temperature based on BP neural network and multi-factor weight analysis

作　　者：许扬 蔡安民 吴梓秋 林伟荣[1] 张林伟 李水清[2] XU Yang;CAI Anmin;WU Ziqiu;LIN Weirong;ZHANG Linwei;LI Shuiqing(Huaneng Clean Energy Research Institute Co.,Ltd.,Beijing 102209,China;Department of Energy and Power Engineering,Tsinghua University,Beijing 100084,China)

机构地区：[1]中国华能集团清洁能源技术研究院有限公司,北京102209 [2]清华大学能源与动力工程系,北京100084

出　　处：《热力发电》2022年第12期131-140,共10页Thermal Power Generation

基　　金：中国华能集团清洁能源技术研究院科技项目(TO-21-CERI01-TD-21);中国华能集团有限公司总部科技项目(HNKJ21-H02)。

摘　　要：对典型叶片的气热除冰系统,建立全尺寸三维换热模型,对流固耦合传热过程进行模拟观察,同时,简化并构建一维换热模型,探究了环境温度等关键参数对除冰气流温度的影响;基于BP神经网络,建立环境条件与最低除冰气流温度之间的对应关系。结果显示:在叶片铺层结构与叶片流道布置的综合影响下,叶片前缘中部处气热除冰难度最大;利用BP神经网络可实现不同条件下的最低除冰气流温度的快速计算和预测;多因素权重分析显示,环境温度、PVC材料导热系数是影响最低除冰气流温度的两大关键参数;对于0.2r~r范围内的除冰,叶片长度也是影响最低除冰气流温度的关键参数,其影响权重达到14.3%。A full-scale three-dimensional heat transfer model is established for a typical blade air thermal deicing system, and the convection of solid coupling heat transfer process is simulated and observed. At the same time, the one-dimensional heat transfer model is simplified and constructed, and the influence of key parameters such as ambient temperature on the temperature of deicing air flow is explored. On the basis of BP neural network, the corresponding relationship between the environmental conditions and the minimum deicing air flow temperature is established. The results show that, under the comprehensive influence of the blade layer structure and the blade channel arrangement, the air thermal deicing at the middle of the blade leading edge is the most difficult. With the help of BP neural network, the rapid calculation and prediction of the minimum deicing air flow temperature under different conditions can be realized. The multi-factor weight analysis shows that, the environmental temperature and the thermal conductivity of PVC material are the two key parameters affecting the minimum deicing air flow temperature. For deicing in the range of 0.2r~r, the blade length is also a key parameter affecting the minimum deicing air flow temperature, with influence weight up to 14.3%.

关 键 词：风力发电 气热除冰 传热优化 BP神经网络 

分 类 号：TM85[电气工程—高电压与绝缘技术]