基于引力搜索算法的水火电短期优化调度方法

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1、华中科技大学硕士学位论文NSGSA-CM算法有更好的全局优化性能，在满足所有约束的情况下获得了较小的燃煤成本与污染气体排放。可知，文中的算法与约束处理策略解决水火电系统短期调度问题是可行和有效的。关键词：水火电系统；节能环保；多目标优化；引力搜索算法；约束处理策略III万方数据华中科技大学硕士学位论文AbstractTheshort-termhydrothermaloptimalschedulinghashugeeconomicbenefitsinelectricpowersystemoperation,soitisalwaysahotissuefo

2、rresearchers.Inthepowersystemschedulingproblem,thetraditionalmathematicalmodelonlyconsidersmaximizingtheeconomicincome,theobjectiveoftheproblemismakingfulluseofthehydraulicresourceandminimizingthefuelcostofthermalplants.Withtherapiddevelopmentofmodernsociety,theenergyshortagean

3、denvironmentproblembecomeserious,energyefficiencyandenvironmentalprotectionarethenevitablechoiceforthestrategyofsustainabledevelopment.Itissignificanttotaketheemissionasoneoftheobjectivesofhydrothermalschedulingproblem.Researchershaveproposedmanyoptimizationstochasticsearchalgo

4、rithmsforsolvinghydrothermalschedulingproblem,butmostofthesealgorithmssufferfromprematureconvergence,andthestrategyofconstraintshandlingisrarelydeveloped.Thispaperimprovesthesearchperformanceofthegravitationalsearchalgorithm,andproposesthemulti-objectivegravitationalsearchalgor

5、ithmtosolveshort-termeconomic/environmentalhydrothermalscheduling.Themainworksofthispaperaredescribedasfollows:1)Inordertoovercomethedrawbackoftheprematureconvergence,thepaperproposesanimprovedgravitationalsearchalgorithm(IGSA).Firstly,thepaperintroducesparticlememorycharactera

6、ndpopulationsocialinformationinvelocityupdateprocess.Andachaoticmutationisadoptedtoenlargethesearchdirectionfromtheregionnearthelocaloptimaltotheglobalfeasibleregion,whichimprovestheperformancetofindtheglobaloptimalsolution.Furthermore,IGSAutilizesarulebasedonselectionoperatorf

7、orpopulationevolution;itensuresthepopulationalwaysevolvestowardstheglobaloptimalsolution.Todealwiththemulti-objectiveoptimizationproblem,byintroducingtheconceptofnon-dominatedsortingandcrowdingdistance,thispaperdevelopsanon-dominatedsortinggravitationalsearchalgorithmwithchaoti

8、cmutation.ThetestsofbenchmarkproblemsprovethatNSGSA-CM