電力系統(tǒng)機(jī)組組合問題的研究.pdf

1、浙江大學(xué)碩士學(xué)位論文電力系統(tǒng)機(jī)組組合問題的研究姓名：李穎浩申請學(xué)位級別：碩士專業(yè)：電力系統(tǒng)及其自動化指導(dǎo)教師：趙舫；郭瑞鵬201202浙江大學(xué)碩士學(xué)位論文AbstractUnitcommitment(UC)playsallimportantroleinthestudyofthepowersystemproblemsanditisthepremiseoftheoptimalpowerflow(OPF)，economicdispatch(E

2、D)ThefirstthingUCshoulddeal、析tllistheshorttimepowergenerationschemesettingAlsothisschememeansalottothepowerindustryandthewholenationaleconomyOnaccountofthehigh—dimensional，discrete，nonlinearoftheproblem，thepaperhaddoneso

3、meresearchonthetraditionalalgorithmsandtheintelligentalgorithms功emaincontentofstudycoversthefollowing：Asfortraditionalalgorithms，webroughtthegeneralizedBenders’decompositionalgorithmtotheUCproblemBasedontheideaofdualprog

4、ramming，tookthechangeoftheloadinconsiderweraisedaheuristicalgorithmnealgorithmdecomposedtheperiodoftheload，whichsolvethehard—decompositionprobleminUCWedecomposedtheproblem觴moreaswecouldbythegeneralizedBenders’decompositi

5、onalgorithmandtheheuristicalgorithmtobuildaseriesofindependentbutsmallproblemswhichreducedthescaleofthesubproblemandenhancedtheefficiencyofthealgorithminsolvingtheproblemAsforintelligentalgorithms，wedidthefutureexpansion

6、totheantalgorithmandraisedMultiColonyChaoticAntOptimizationAlgorithm(MCAO)Thealgorithmdefineddifferentantcolonies，madethoseantcoloniescooperate，helpandcommunicate謝t11eachotherFinallyitenhancedtheefficiencyofthealgorithma

7、ndimprovedthequalityoftheresultInthepaperwebroughttheconceptofthewindowwhichreducedthescaleoftheproblem，atthesametimewebroughtthealgorithmofchaosand2opt，whichcoulddealwiththeshortcomingoftheantalgorithmineasilyfallingint