电站锅炉燃烧系统优化运行与应用研究

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1、东北大学博士学位论文电站锅炉燃烧系统优化运行与应用研究姓名：李智申请学位级别：博士专业：热能工程指导教师：蔡九菊20050201东北大学博士学位论文摘要移得到不断的扩充和完善，同时保证模型与变化的锅炉特性相匹配，始终保持模块化的锅炉燃烧系统RBF神经网络组合模型有足够的精度，使燃烧优化系统长期有效。以模块化的锅炉燃烧系统RBF神经网络组合模型为基础，本文采用了基于实数编码的遗传算法进行寻优。针对于OF神经网络的特点，对该算法进行了改进，应用RBF隐层节点的中心进行启发式寻优，通过实验证明该算法可以提高收敛速度，寻优结果稳定。将上述理论用于生产实际，本文开发了阜新

2、电厂#02机组锅炉燃烧优化系统，该系统在阜新电厂#2机组锅炉上得到了成功的应用，提高锅炉热效率1个百分点。该系统具有系统简单、运行可靠、精度高等优点，具有实用和推广价值。关键词:锅炉;燃烧:神经网络;遗传算法;在线建模III东北大学博士学位论文ResearchonOptimizationoperationofBoilerCombustionSysteminPowerStationandItsApplicationAbstractComparedwithdevelopedcountries,theprimalproblemwithwhichthepowerUtil

3、ityboilersareoneofthethreemainframesofthermalpowerstations.AtpresentthethermalutilityboilersinChinagiveprioritytosub-criticalandsupercriticalandlargecapacityboilers,comparedwithdevelopedcountriesthereisalargerdiferencewithperformanceindexesbecauseoftheinstallationitselfandperformance

4、management,mainlymanifestedbyhighcoalconsumptionandlowthermalefficiency.Toincreasethermalefficiencyofthecoalfiredpowerplantboilers,savelimitedcoalresourcesandreducepollutionproducedinthecourseofcoalconsumptionareurgenttorealizecontinuabledevelopmentofenergyresourcesinChinaaswellasapr

5、oblemtobeovercomebyelectricallyscientificandtechnicalpersonnel.Thearticle'ssubjectinvestigatedistheutilityboilercombustionsystem,andoptimizedtheoryandapplicationoftheboilercombustionsystemarediscussed.Theutilityboilerinstallationishugewithvariables,biglaggingandnonlinearity.Becauseof

6、highlycomplicatedcombustionprocessintheboileritisunabletosetupamodelforcombustionbyuseoftheoreticalmethod.Advancedartificialintelligenttechnologyofneuralnetworkisintroducedtothesystem,andamodel.fortheboilercombustionsystemissetupbyuseofRBFneuralnetworkaccordingtohistoricaldatainthebo

7、ilercombustionprocess,andoptimizedoperatingmodewithdiferentworkingparametersarefoundinthemodelbyuseofnonlinearoptimizingtechnologysothatwecangiveguidancetoboilercombustionadjustmentandrealizeoptimizedoperationoftheboilercombustionsystem.Aimingatpresentsituationthatitisunabletocalcula

8、teonlinether