梯級(jí)水電站群優(yōu)化調(diào)度的群體搜索算法

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WANGKechao’，CAI Ruoyi，SHENJianjian1*

nstituteofHydopower&Hydroiformatics，DalianUiversityofcholog，Dan6O4，Chia;2.PearliverCopsie Center，PearlRiver WaterResourcesCommissionof the Ministryof WaterResources，Guangzhou51O611，China）

Abstract：Thecoronavirus herd immunityoptimizer（CHIO）algorithmwasintroduced toaddresstheoptimal scheduling problemof cascade hydropower plants，andanimproved algorithmcaledLCHO was proposed.The CHIOalgorithmwas enhancedbyadopting twostrategies：theLatinhypercubestrategyforgenerating initialpopulationsolutionsanddynamicsocialdistanceandadaptive thresholdstrategies.Theseimprovementsbalancedglobal searchandlocal search，preventing prematureconvergence while accelerating theconvergencespeed.SimulationresultsforfourcascadehydropowerplantsinaregioninsouthwestChinashowthatthe difference between the results of CHIO and LCHIO and the dynamic programming POA-DDDP is less than 1% ，and thevariation coefficients are 0.13% and 0.11% ，which verify the rationalityand effectivenessof CHIO to solve the cascade reservoir group schedulingproblemandtheimprovementefectofLCHOalgorithmonCHIO.Furtheranalysisofmultipleobjeetivefunctionmodels fortheequivalent gridrevealsisuessuchasthecoexistenceofpowershortagesandcurtailment，dificultiesinrenewableenergy absorption，andweakgenerationcapacityduringdryperiods.Thesechalengeshighlightthenedforthedevelopmentofpumped storage.

KeyWords：cascadehydropowerplantscheduling;coronavirusherdimmunityoptimizeralgorithm;Latinhypercubestrategy;socia distance;adaptive threshold

隨著新能源的快速并網(wǎng)，其發(fā)電過程所呈現(xiàn)出的短期隨機(jī)性與中長(zhǎng)期波動(dòng)性等特征愈發(fā)明顯，大大增加了剩余負(fù)荷的峰谷差、加劇電力系統(tǒng)調(diào)峰壓力[1-3]。（剩余14910字）