350MW循环流化床锅炉机组负荷动态优化控制方法  

Dynamic Optimal Control Method for Load of 350 MW Circulating Fluidized Bed Boiler Unit

作　　者：马新喜 MA Xinxi(Geely Baikuang Group Co.,Ltd.,Baise,Guangxi 533615,China;Baise Baikuang Power Generation Co.,Ltd.,Baise,Guangxi 533615,China)

机构地区：[1]吉利百矿集团有限公司,广西百色533615 [2]百色百矿发电有限公司,广西百色533615

出　　处：《自动化应用》2023年第14期60-62,73,共4页Automation Application

摘　　要：为进一步提升燃煤电厂锅炉的工况效率及机组运行的环保性和经济性,本文研究设计了一种350MW循环流化床锅炉机组负荷动态的优化控制方法。通过收集统计350MW循环流化床锅炉机组燃烧系统的烟气含氧量、煤量、送风量、燃料量、主汽压、炉膛负压以及引风量等数据,实施数据滤波提取处理,再利用系统辨识原理构建锅炉机组燃烧系统工况模型。最后基于遗传算法与人工神经网络构建锅炉机组燃烧系统模型的负荷优化控制模型,实现了对锅炉机组负荷动态的优化控制。测试结果表明,运用此优化控制方法,锅炉效率的提升率高于91%,具有较高的实际应用价值。In order to further improve the operating efficiency of coal-fired power plant boilers and the environmental protection and economy of unit operation,an optimal control method for load dynamics of 350 MW circulating fluidized bed boiler units is studied and designed.By collecting and statistics of the oxygen content of flue gas,coal quantity,air supply volume,fuel quantity,main steam pressure,furnace negative pressure and air intake volume of the combustion system of 350 MW circulating fluidized bed boiler unit,data filtering and extraction processing are implemented,and then the working condition model of the combustion system of the boiler unit is constructed using the system identification principle.Finally,based on genetic algorithm and artificial neural network,the load optimization control model of boiler unit combustion system model is constructed,and the optimal control of boiler unit load dynamics is realized.From the test results,it can be seen that the improvement rate of boiler efficiency by using this optimization control method is higher than 91%,which has high practical application value.

关 键 词：锅炉机组 350MW循环流化床 标准Kalman滤波 遗传算法 人工神经网络 

分 类 号：TK323[动力工程及工程热物理—热能工程]