摘要
本文研究了热工参数软测量技术在火电厂节能中的应用,选取了烟气含氧量和飞灰含碳量两个对机组经济性能有重要影响的指标进行建模,得到了烟气含氧量和飞灰含碳量的软测量模型。为了验证模型的准确性,分别对两个模型的软测量值和实际值进行了比较验证,并采用均方根误差系数RMSE作为衡量指标进行了分析,两个模型的软测量模型输出结果和校验样本的均方根误差分别为0.043和0.039。
The thermal parameter soft measurement technology in energy saving of thermal power plant has been studied. Two indexes which content on the economic performance of the unit are modeled as oxygen content and the carbon content of fly ash. The soft measurement and actual values of the two models are verified. At the same time, the mean square error coefficient is used as the measurement index. The results of the two models are 0.043 and 0.039 respectively.
出处
《电气技术》
2017年第11期114-116,120,共4页
Electrical Engineering
关键词
火力发电
软测量
支持向量机
烟气含氧量
飞灰含碳量
thermal power generation
soft measurement
least square support machine
flue gas oxygen content
unburned carbon