含风电场的电力系统多目标无功优化

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1、广东工业大学硕士学位论文chaoticsequencewhichcombinedChebyshevchaoticmapwithlogisticchaoticmapisappliedtoobtainauniforminitialvalueSOastoimprovedtheglobaloptimizationabilityofthealgorithm；Astheproblemofinertiaweight，thealgorithmgiveadynamicinertiaweightwhichbased

2、onpopulationvelocity．Third，themathematicalmodelofreactivepoweroptimizationofpowersystemisestablished．Basedontheanalysisofentropyweightandfuzzyweightinmulti-objectivedecisionmaking，combiningtheiradvantagesinobjectiveandsubjectivedecision，thispaperintr

3、oducesafuzzyentropyweightmethodtosolvereactivepoweroptimizationbyMATLAB．Last，Accordingtotheresultsofthepowerflowcalculationwhichcontainedwindfarm，combinedwithCCPSOalgorithmandfuzzyentropyweightmethod，ReactivepoweroptimizationofIEEE-14bussystemwhichco

4、ntainedwindfarmissolvedbyMATLABprogramming．ComparedwithPSOalgorithmandCPSOalgorithm，thisresultshowsthatthealgorithmproposedinthispaperhasabetterglobalsearchabilityandconvergencespeed．Keyworks：Windfarm，Powerflowcalculation，wakeeffect，Combinedchaoticse

5、quencedynamicparticleswarmoptimizationalgorithm，Fuzzyentropyweightalgorithm，Multi-objectivereactivepoweroptimization．1V目录摘要⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．IABSTRACT⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．III第一章绪论⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯11．1课题

6、研究背景与研究意义⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯l1．1．1风力发电发展概述⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯11．1．2课题研究意义⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯41．2含风电场的电力系统潮流研究现状⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯51．3电力系统无功优化算法研究现状⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯81．3．1传统的无功优化算法⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．81．3．2人工智能算法⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯

7、⋯⋯⋯⋯101．4本文主要研究内容⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．13第二章含风电场的电力系统潮流计算⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．142．1风力机的空气动力学模型⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．142．2风电机组类型及其稳态模型与节点处理方法⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．152．2．1普通异步风力发电机组⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．152．2．2双馈风力发电机组⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．172．2．3永磁直驱同步风力发电

8、机组⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．192．3风电场集电线路等效模型⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．202．4尾流效应模型⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯202．4．1基于Park模型远场尾流模型⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．212．4．2Park模型改进方法⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯222．4．3无粘近场尾流模型⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．222．5含风电场的电力系统潮流计算⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯