摘要
介绍为了保障节能发电调度中煤耗实时在线监测系统的准确性,减少煤质的复杂性和人为离线输入的不确定性对锅炉效率在线计算造成的偏差,采用统计分析和聚类计算等方法,构建了针对特定区域电厂的煤质数据库的方法。
In order to ensure the accuracy of the online monitoring system for coal consumption in the energy - conservation power generation dispatch, a coal quality database for the power plants in a certain area was built based on the method of statistical analysis and clustering caculation to reduce the errors caused by the complex coal quality and the off-line input during the online calculation of the boiler efficiency. The results show that the errors less than 600 kJ/kg between the caculated heat of ＂virtual coal＂ and the labo- ratory values can be up to 92. 4%. And the heat obtained from the database matches well with the laboratory values in the power plants in practical application, with the maximum error less than 700 kJ/kg. It can enhance the fairness and impartiality of the online monito- ring system for the power plants in a certain region using the virtual coal database during the online calculation of boiler efficiency.
出处
《云南电力技术》
2014年第1期44-48,共5页
Yunnan Electric Power
关键词
煤质数据库
锅炉效率
在线监测
节能发电调度
coal quality database
boiler efficiency
online monitoring
energy - conservation power generation dispatch.
