两种亚临界机组负荷-压力简化模型对比及实验分析

两种亚临界机组负荷-式之一。在电力发电过程中，机组的负荷和压力是两个至关重要的参数，直接影响着机组的稳定性和发电效率。因此，对机组负荷和压力进行研MATLAB软件进行WiththeincreasingdemandforelectricityinChina,subcriticalunitshavebecomeoneofthemainstreamelectricitygenerationmethods.Intheprocessofpowergeneration,theloadandpressureoftheunitaretwocriticalparametersthatdirectlyaffectthestabilityandefficiencyoftheunit.Therefore,thestudyofunitloadandpressureisofgreatpracticalsignificance.Thispapercomparesandanalyzestwosimplifiedmodelsofload-pressurerelationshipforsubcriticalunits.Oneisthetraditionallinearmodel,andtheotheristhenonlinearmodelbasedonneuralnetwork.Throughthecomparativeanalysisoftheaccuracy,robustness,reliabilityandapplicabilityofthetwomodels,itisfoundthatthenonlinearmodelhasbetterperformanceinpracticalapplications.Toverifytheanalysisresults,thispapercarriedoutexperimentalresearch,usingMATLABsoftwaretoestablishmodelsandsimulateexperiments.Bycomparingtheexperimentalresultswiththetheoreticalcalculationresults,thecorrectnessandpracticalityoftheanalysisconclusionsofthispaperareproved.Keywords:Subcriticalunits;Load;Pressure;Linearmodel;Neuralnetworkmodel;Modelcomparison;Experimentalanalysis$$p=aL+为了解决线性模型的缺陷，本文采用神经网络方法建立非线性模型。神经网络模型是一种类似于人脑神经元结构的模型，具备自适应性，能本文采用了三层前馈神经网络，其中输入层、隐层和输出层分别包3个、61压力和时间，隐层的神经元数目根据经验设置，输出层的神经元代表机组当前的压力。(MSE)MSE为1.34，而神经网络模型的MSE仅为0.67，两种模