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1、電測(cè)與儀表ElectricalMeasurement&Instrumentation基于改進(jìn)雞群算法的電動(dòng)汽車有序充電策略研究*吳甲武，邱曉燕，潘胤吉，肖建康（四川大學(xué)電氣信息學(xué)院智能電網(wǎng)四川省重點(diǎn)實(shí)驗(yàn)室，成都610065）摘要：為了減小電動(dòng)汽車無(wú)序充電給配電網(wǎng)安全穩(wěn)定運(yùn)行帶來(lái)的不利影響，提出一種基于改進(jìn)雞群算法的電動(dòng)汽車有序充電策略。首先，綜合考慮電動(dòng)汽車用戶和配電網(wǎng)的利益，建立以用戶充電費(fèi)用最小和配電網(wǎng)負(fù)荷峰谷差最小為目標(biāo)的電動(dòng)汽車充電多目標(biāo)優(yōu)化數(shù)學(xué)模型；在此基礎(chǔ)上，提出一種有序充電策略，該策略將隨時(shí)
2、間推移不斷滾動(dòng)更新電動(dòng)汽車的充電計(jì)劃；其次，運(yùn)用雞群算法求解該問(wèn)題，并針對(duì)標(biāo)準(zhǔn)雞群算法中出現(xiàn)的易早熟，收斂精度不高等問(wèn)題，引入雙親引導(dǎo)機(jī)制對(duì)其進(jìn)行改良；最后，以某一配電網(wǎng)為例進(jìn)行具體分析，仿真結(jié)果驗(yàn)證了充電策略的實(shí)用性和改進(jìn)算法的有效性。關(guān)鍵詞：電動(dòng)汽車；充電策略；多目標(biāo)優(yōu)化；滾動(dòng)優(yōu)化；改進(jìn)雞群算法；雙親引導(dǎo)機(jī)制中圖分類號(hào)：TM911文獻(xiàn)標(biāo)識(shí)碼：B文章編號(hào)：1001-1390（2019）09-0000-00Researchonorderlychargingstrategyofelectricvehicle
3、basedonimprovedchickenswarmoptimizationWuJiawu,QiuXiaoyan,PanYinji,XiaoJiankang(IntelligentElectricPowerGridkeyLaboratoryofSichuanProvince,SchoolofElectricalEngineeringandInformation,SichuanUniversity,SichuanUniversity,Chengdu610065,China,China)ABSTRACTbs
4、tract:Inordertoreducetheadverseeffectsofelectricvehicledisorderedchargingtothesafeandstableoperationofdistributionnetwork,anorderedchargingstrategyofelectricvehiclesbasedonimprovedchickenswarmoptimizationisproposedinthispaper.FirstFirstly,comprehensivelyc
5、onsideringtheinterestsoftheusersideoftheelectricvehicleandtheinterestsofthedistributionnetwork,themulti-objectiveoptimizationmathematicalmodelofelectricvehiclechargingissetupbasedontheminimumchargecostoftheuserandtheminimumloadpeakdifferenceofthedistribut
6、ionnetwork.Onthisbasis,anorderlychargingstrategyisproposed,and.Thethestrategywillcontinuouslyrollupthechargingplanoftheelectricvehiclewithtime.Secondly,thechickenswarmoptimizationisadoptedusethechickenswarmoptimizationtosolvetheproblemofcalculatecalculati
7、ngthechargingplan.Themethodisusedtosolvetheproblem.Inviewoftheprematurityandlowconvergenceprecisionofthestandardchickenswarmoptimization,theparentalguidancemechanismisintroducedtoimproveit.Finally,adistributionnetworkisusedasanexampletocarryoutsimulationa
8、nalysis.Thesimulationresultsverifythepracticabilityofthechargingstrategyandtheeffectivenessoftheimprovedalgorithm.KEYWORDSeywords：:electricvehicle,chargingstrategy,multi-objectiveoptimization,rollingoptimization,imp
