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《基于引力搜索算法的水火電短期優(yōu)化調(diào)度方法》由會員上傳分享，免費(fèi)在線閱讀，更多相關(guān)內(nèi)容在學(xué)術(shù)論文-天天文庫。
1、華中科技大學(xué)碩士學(xué)位論文NSGSA-CM算法有更好的全局優(yōu)化性能，在滿足所有約束的情況下獲得了較小的燃煤成本與污染氣體排放?？芍闹械乃惴ㄅc約束處理策略解決水火電系統(tǒng)短期調(diào)度問題是可行和有效的。關(guān)鍵詞：水火電系統(tǒng)；節(jié)能環(huán)保；多目標(biāo)優(yōu)化；引力搜索算法；約束處理策略III萬方數(shù)據(jù)華中科技大學(xué)碩士學(xué)位論文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
