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ID:32058151
大小:2.23 MB
页数:64页
时间:2019-01-31
《基于二次协作优化方法的配电网重构》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、ABSTRACTPowerdlStnbutlonnetworkrecon士IguratlonlstomeettheconstraIntcondltlonsotnoHnaloperationofdistributionne咖rk,throughchangesinthedistributionnetWorksectionswitchandcoIulectiVeswitchopeningaJldclosingstate,makingthewholenet、Vorktoreducelineloss,el
2、iminateoVerloadandimpmVeVoltagequality,etc.QuadraticcollaboratiVeoptimizationmethodisproposedinthispaper,baSedontheSimulationfisheman6sllingalgorit№aIldgeneticalgorithmfordistributionnetworkreeonstrtlction,theoptimalne俺的rklossisdiscussed,themethodfor
3、solVingtheproblemofdistributionnetworkreconfigurationtheoptimalne铆orklossacllieVedthedesiredresults,thedistributionnet、)v’orkreconfigurationproblemstudyproVidescertaintheoreticalguidingsigllificance,moreover,mismemodcanbe印pliedtothestlldyoftllesman铲i
4、d.Firstofall,tllisarticleintroducesseveralcommondistributionnet、VorkcoImectionmode,esta.blishedadistributionne僦orktopologyaIlalysismodelofne觚orks饥lctllre,a11dusestlletreetostoreanarrayofdistributionne艄的rknodeandbranchinfomationpar锄eters,fortheradiati
5、onofthestmctureofdistributionnetworkaswellasthenexttidecalculationlaidafoundation.Int11isp印er,reconstnlctionofdistributionnet、vorkpowernowcaIculationintheprocessofpowergenerationmethodbaSedonbranchcurrentmetllodcalculationalgorit№schaJlgetrendinmepro
6、cess.Secondly,theauthorintroducesmeSimulationfishemanfishingaJgoritllIIla11dbasedonthetheo巧ofgeneticalgofithm,combinedwiththeadVantagesofSimulationfisheHnallfisllingalgorithmaJldgeneticalgoritllmisputfo删dsecondcollaborativeoptimizationmethodtosolVeth
7、eproblemofdistributionnetworkreconfigurationbasedontheoptimalnetworkloss,seconda巧collaboratiVeoptimizationmetIlodistouseSirIlulationfishemaJlfishingaIgoritllmtofindt11einitialpopulationofgeneticalgorimm,becausethefisllingalgorithmwithf瓠tconvergenceab
8、ilityoflocaloptimalsolution,aJldconcludedthatthelocaloptimalsolutionistowardthedirectionoftheglobaloptimalsolution,a11dgreatlyimprovetheemciencyofgeneticalgorit}Ⅱ11tofindtheglobaloptimalsolutionandspeed,sotoavoidthegeneticalgorithmintopubeny,finallyu
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