基于遺傳算法的電力市場(chǎng)分段競(jìng)價(jià)交易決策

1、西安理工大學(xué)碩士學(xué)位論文基于遺傳算法的電力市場(chǎng)分段競(jìng)價(jià)交易決策姓名：楊帆申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：電力系統(tǒng)及其自動(dòng)化指導(dǎo)教師：余健明20080301西安理工大學(xué)碩士學(xué)位論文Title：ABLOCKBlDDINGALGORITHMBASEONGENETICALGRITHMlCMajor：PowerSystemanditsAutomationName：FANYANGSupervisor：Prof。JianmingYuAbstractUnder

2、theenvironmentofElectricPowerMarket，theadvantageanddisadvantageofbiddingmodelhasdirectlyeffectthefairness，justiceandreasonablenessofElectricPowerMarket’operationprocessItalsohasveryimportanttheoreticalvalueandapplication

3、prospectthathowtousingbetterandmoreuniversal，biddingalgorithmwhichcaneffectivelyreducethecostofelectricenergyinorderteducethepriceofelectricpowerBlockbiddingmodelisanewbiddingmechanismaimingatthedisadvantageofhourlybiddi

4、ngmodelTheMerit—OrderMethodwhichbeencommonlyappliedatBlockBiddingPowerMarketcanonlyprocesssteplikebiddingcurves，butbeuselessinlinearbiddingCUIVCS。Thispaperpresentsablockbiddingalgorithmbase‘ongeneticalgorithmic，whichprov

5、idesanewwaytosolvethisproblemAccordingtothecharacteristicofblockbiddingmechanism，thecodingandgeneticoperatorsaredesignedThisalgorithmalsoadoptselfadaptivelycrossoverrateandmutationrate，nichetechnologytokeeppopulation’Sdi

6、versity，avoidprematureandenhancelocalsearchabilityBasingontheresultofthealgorithm，thedailygenerationschedulingisplannedinwhichawholedaytimebedividedinto48pointsDuringthisprocess，theloadpredictioncurveispartitionedaccordi

7、ngtampingconstraints。OnMatlabsoftwareplatform，theimprovedgeneticalgorithmhasbeenappliedtothecasesusinglinearandstep—likebiddingCUrveSTheresultsprovethatoptimizingeffectofthealgorithmissli曲tlydifferenceaccordingtothediffe

8、renceofbiddingcurves’properties，butunderthebothtwosituationgainsoptimizedpowerpurchasecostTheresultsprovetheeffectivenessandfeasibilityofthisalgorithm，andhasnolimitsofbiddingCUIVCS’form。Keywords：electricitymarket；blockbi