基于模糊自適應遺傳算法的配電網(wǎng)絡重構(gòu)研究.pdf

1、南昌大學碩士學位論文基于模糊自適應遺傳算法的配電網(wǎng)絡重構(gòu)研究姓名：張忠城申請學位級別：碩士專業(yè)：電力系統(tǒng)及其自動化指導教師：王淳20060501——蔞!簍鍪一一AbstItllet№科掰莨reconfigurationis1tllimportantp8艇ofthedistribwSonsystem，andtheresearchofithasbeenquiteactiveinthepasttellyearsUndersuchthesitu

2、ationthateconomyisdevelopingrapidlyandpowersupplyisshortdaybyIayitcanjmprovesectuityandeconomyof’powersystemandexertthepotenfiaIityofexistingdistributionnetworkthroughdistributionnetworkreconfiguration，whichhasgreatecono

3、micbenefitsandsocialbenefits。ThethesisdiscussesthehomeandforeignmethodsofdistributiondistributionpowercalculationItmakesa淝印analysisvenumberoftimeofNe譏onmethodandback／forwardsweepmethodItcompares8lithereconfgurationalgori

4、thmsUsingnonlinearprogrammingtheoryitcangetoptimizationresult，butcalculationtimeisverylong；OptimalflowcalculationmethodneedscalculatedistributionpowerflowrepeatedBranchexchangemethoddanmakes玨潛distributionnetworkconfigura

5、tionwhichcanreducelinelossrapidlybuttheoptimizationresultobtainedrelatestoinitialoperationwayofthedistributionnetwork；UtilizingANNcanreducethetimeofdistributionnetwo救reconfigurationgreatl)；buttheprecisionislimited；Thekey

6、ofSAconvergenceliesinthechoosingannealschemeTheexpertsystemcanreducethenetworklossbutcannotguaranteetogettheglobaloptimizaltonresult；GAhasmanyspecialityinnetworkreconfguration，itwillgetmoreapplicationinnetworkreconfigura

7、tionifwecancombinewiththedistributionsystempeculiarityandimprove如econvergentspeedandastringencySothethesisstudiesnetworkreconfigurationwiththefuzzyselfadaptationgeneticalgorithm，Thethesissimplifiesdistributionnetwork，reg

8、ardingdistfibutiontransformerandsubstationasnodes，distributionlineasbranches，supposingthatthereareswitches(includingblockswitchandconnectiveswitch)oneachbranch，thenode，branch，switchserialnumberareidentical：Onthebasisofan