欢迎来到天天文库
浏览记录
ID:31977868
大小:9.29 MB
页数:84页
时间:2019-01-30
《基于改进粒子群优化算法的电力系统无功优化算法.研究》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、太原理工大学硕士研究生学位论文RESEARCHONPOWERSYSTEMREACTIVEPOWEROPTIMIZATIONBASEDONIMPROVEDPARTICLESWARMOPTIMIZATIONABSTRACTReactivepoweroptimizationnotonlycanreducetheactivepowerloss,butalsokeepthegridundersecurity,reliabilityandeconomy.Reactivepoweroptimizationisatypicaln
2、on—linearprogrammingproblemwithmulti.controlvariables,multipleconstraintsconditionandSOon.Conventionaloptimizationalgorithmforsolvingsuchproblemshasgreaterlimitations,comparedtothat,intelligentoptimizationalgorithmshowaclearadvantage,thisthesisconductsindepth
3、analysisandresearchforPSO,startingfromdifferentpointofview,severalmethodsispresented.Firstly,frommomicconsideration,thisthesistakesminimizationoflrstlytromeconothisthesistakesthezatonof,activepowerlossasanobjectivefunction,establishreactivepoweroptimizationmo
4、delandproposeanimprovedadaptivechaoticparticleswarmoptimizationalgorithm(AC-PSO).Intheinitializationoftheparticleswarm,thealgorithmintroduceschaoticideaandincreasethediversityofthepopulationofparticles,intheprocessoftheparticleswarmoptimization,thealgorithmus
5、eadaptivedynamicinertiaweightandlearningfactorstoimprovethelocalandglobalsearchabilityandgetbettersolutionquality.III太原理工大学硕士研究生学位论文Secondly,tofurtherenhancetheexplorationabilityofparticleswarmoptimizationalgorithminthesolutionspace,thisthesisproposetwoimprov
6、edalgorithmsstartfromtheperspectiveofvariation:heacceleratingfactoroftheparticleswarmoptimization(AF—PSO)andtherandomvariabilityoftheparticleswarmoptimization(RM-PSO).Bysimulation,theperformanceoftwoalgorithmshavebeenanalyzedandcompared,atlast,usingreactivepo
7、weroptimizationcalculationverifythevalidityofthealgorithm.Finally,fromcomprehensiveconsiderationoftheeconomyandsecurity,thisthesistakeactivepowerlossminimum,theminimumvoltagedeviationandstaticvoltagestabilitymarginastheobjectivefunctionandestablishthefuzzymul
8、ti—objectivereactivepoweroptimizationmodel.Hybridoptimizationalgorithm-adaptivechaoticrandomvariationofparticleswarmoptimizationalgorithm(AC-RM-PSO)optimizationisproposedtosolvetheoptimiz
此文档下载收益归作者所有