机组发电负荷统计预测方法及其在锅炉吹灰优化控制中的应用  

Boiler Soot-Blowing Optimal Control System Based on Statistic Forcast of Power Load

作　　者：张雄[1] 易凡[1] 

机构地区：[1]艾默生过程控制有限公司,上海201206

出　　处：《电力与能源》2015年第2期232-237,共6页Power & Energy

基　　金：中国华电集团2013年度科技创新项目(201301)

摘　　要：定量分析了锅炉受热面吹灰和机组负荷对锅炉再热蒸汽温度的影响,总结了两种有利于再热蒸汽温度控制的优化吹灰方式。统计分析了大量发电负荷历史数据,从中归纳出了8种负荷变化基本模式,基于模式匹配算法建立了发电负荷统计预测模型。该模型在苏州望亭发电厂660 MW超超临界锅炉吹灰优化控制系统中进行了工程应用,取得了良好的效果。In this paper, quantitative analysis is made on the effects of boiler soot-blowing and power load fluctuation on the reheat temperature control. Two optimal methods for boiler soot-blowing are summarized, helpful for reheat temperature control. To master the rule of active power load fluctuation, eight basic power load variation patterns are summarized based on statistical analysis of the historical data of the power load, and the power load prediction model is built based on the pattern recognition algorism. The validity of the model is verified by the project of optimized soot-blowing control system of 660MW super-critical boiler in Suzhou Wangting Power Plant.

关 键 词：优化控制 锅炉吹灰 负荷预测 统计分析 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论] TM621.7[自动化与计算机技术—计算机科学与技术]