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ID:36374776
大小:3.17 MB
页数:78页
时间:2019-05-10
《电力系统的谐波分析算法及负荷谐波建模》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、北京交通大学硕士学位论文电力系统的谐波分析算法及负荷谐波建模姓名:任志莲申请学位级别:硕士专业:电力系统及其自动化指导教师:周晖20090601ABSTRACTABSTRACTWiththedevelopmentofpowerelectromicstechnique,moreandmorethedevice,suchasrectifier,frequencyconverter,electricarcfumaceandSOonareappliedintopowersystem,asthissortofloadisno
2、nlinear,impulsive,unbalanced,thepowerqualitybecomsworsethanbefore,whichendangersthesafety,stabilityofpowersystemanddecreasestheeconomyofoperation.Ontheotherhand,thedeviceusedinmodernindustry,commenceandpeople’Sdailylife,iseasilyinfluencedbypowerquality,therefo
3、re,theissueofimprovingpowerqualityisconcernedbyallofUS.Howtominimizethedamageoftheharmonicsisanissueofgreatcongerlltothefieldofpowersystems.Thekeytosolutionofthisissueliesinthequantitativedeterminationofthecomposition,magnitudeandphasesofharmoniouswaves.Nonhar
4、monichasbecomethemainsymbolofgreen,thecontentofharmonicinpowersystemistheimportantparameterinpowerquality,SOharmonicanalysisisimportantsignificanceinpowersystem.Thepowerloadisanimportantconstituentoftheelectricalpowersystem,anditsmodelingworkhasalwaysbeingadif
5、ficultproblemofthepowersystem,acquiringthedomesticandforeignscholars’widespreadattation.Accuratepowermodelissignificantinthepowersystemharmonicanalysisandcalculation,therebyfurtheraffectsthepowersystemmonitoring,managementandgovemance.Harmonicanalysishashigher
6、precisiononthecomponentsofthemodelthanthepowerflow.Comparedwimgenerators,transformersandtransmissionlinemodelingoftheharmonic,theslowprogressinharmonicmodelingofelectricloads,andtheroughharmonicmodelingofelectricloadshinderedtheaccuracyoftheentirepowersystemsi
7、mulation.Therefore,thepreciseharmonicmodelingofelectricloadsisofgreatsignificance.Firstly,thepapersystemicandbriefintroducestheconceptofharmonic,hazardofharmonic,harmonicsource,existedproblemofthetraditionalandnewharmonicanalysisalgorithmswhichareusedfrequentl
8、y.IntheviewoftheseveralproblemsofdifferentalgorithmssuchasthelowcomputationaccuracyandthebigcomputationquantityandSOon,allartificialnetworkbasedonadaptiveNeural—NetworkbasedFuzzyIn
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