资源描述：
《基于改进cfd与小波混合神经网络组合的风电场功率预测方法_崔嘉》由会员上传分享，免费在线阅读，更多相关内容在教育资源-天天文库。
1、------------------------------------------------------------------------------------------------基于改进CFD与小波混合神经网络组合的风电场功率预测方法_崔嘉第41卷第1期2017年1月电网技术PowerSystemTechnologyVol.41No.1Jan.2017文章编号：1000-3673（2017）01-0079-07中图分类号：TM715文献标志码：A学科代码：470·40基于改进CFD与小波混合
2、神经网络组合的风电场功率预测方法崔嘉1a，杨俊友1a，杨理践1b，高凯旻1a，宋志成1a，高子昂2（1．沈阳工业大学a.电气工程学院，b.信息科学与工程学院，辽宁省沈阳市110870；2．东北电力大学电气工程学院，吉林省吉林市132012）NewMethodofCombinedWindPowerForecastingBasedonImprovedCFDandWavelet-HNNModelCUIJia1a,YANGJunyou1a,YANGLijian1b,GAOKaimin1a,SONGZhicheng
3、1a,GAOZiang2(1.a.SchoolofElectricalEngineering,b.SchoolofInformationScienceandEngineering,ShenyangUniversityofTechnology,Shenyang110870,LiaoningProvince,China;——————————————————————————————————————----------------------------------------------------------
4、--------------------------------------2.SchoolofElectricalEngineering,NortheastElectricPowerUniversity,Jilin132012,JilinProvince,China)ABSTRACT:Time-dependencyandintermittenceofwindpowerimpactsenergybalancebetweenwindpoweroutputandloadinpowersysteminreal-
5、time.Accuratewindpowerforecastishelpfultoreducespinningreservecapacityandmakereasonablemaintenanceplan.Forimpactsofwindpoweruncertaintiesonpowersystem,anewcombinationmethodofwindpowerforecastingbasedonimprovedcomputationalfluiddynamics(CFD)modelwaspropose
6、d.Firstly,wavelet-hybridneuralnetwork(HNN)wasusedtodownscaleNWPforwindmeasurementmast.Secondly,CFDspeedupcorrelationcoefficientwasestablishedtoreflectwindflowdistributionaccurately.Finally,anewvariable-weightCFDcombinationmethodofwindpowerforecastforeachw
7、indturbinewasputforwardconsideringrotorthrustcoefficientoffreeflowfieldandwakesofactuatordisc.Engineeringapplicationsshowthattheproposedmethodcaneffectivelyreflectwindfarmoperationstateandimprovewindpowerforecastingaccuracy.测方法更准确地反映了风电场实际运行状态，有效提高了预测准确性。
8、关键词：功率预测；组合方法；计算流体力学；小波混合神经网络；尾流模型DOI：10.13335/j.1000-3673.pst.2016.0734——————————————————————————————————————------------------------------------------------------------------------------------------------0引言风电本身所特
