基于核主元分析和支持向量机的火电厂炉膛温度的研究

摘要

Taking 330 MW unit in Huaneng Jiaxiang power plant as an example , according to the problem of choosing auxiliary variables and the establishment of furnace temperature soft measurement model by using LSSVM analysis process of thermal power plant , fully integrated with Shanghai Xinhua , Shandong Luneng DCS , establish the furnace temperature softmeasurement system .The measured data of the field operation shows that , the system without increasing the cost of investment of equipment , the use of the soft monitoring effect is good , not only completely overcome the adverse influence on production in the temperature measurement element is damaged , also for the prediction of platen superheater inlet tem-perature and the safety of the heating surface provides basis and lay the foundation for subsequent com -bustion optimization work .%以华能嘉祥电厂330 MW机组为例，根据火电厂的工艺流程分析选取辅助变量以及利用LSSVM建立炉膛温度软测量模型等问题，与上海新华、山东鲁能DCS充分结合，建立炉温软测量系统。现场实测数据表明，该系统在不增加装置设备投资成本的前提下，运用该软监测效果良好，不仅避免了在测温元件损坏时对生产的影响，还为屏式过热器入口温度的预测及受热面的安全性提供了条件，为后续的燃烧优化工作奠定基础。