基于多群自适应协同粒子群优化算法的光储热泵系统研究

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引用格式：，，，等.基于多群自适应协同粒子群优化算法的光储热泵系统研究[J].现代电子技术，2025，48（10）：127-134.

关键词：热泵供暖系统；光伏发电；蓄电池储能；自适应多目标粒子群算法；能量分配；系统优化中图分类号：TN919.8-34；TM615 文献标识码：A 文章编号：1004-373X（2025）10-0127-08

Abstract：Inorder tosolve theresource mismatch problemof smal-scale electric thermalcoupling systems，alleviate the heatingpressureinnorthernregions，andimprovethereliabilityofoffgridloadpowersupply，amulti-groupadaptive collaborativeparticleswarmoptimizationalgorithmisproposedtosolvetheoptimalsolutioofsystemenergyratiobyintegrating photovoltaicpowergenerationunits，batteryenergystorageunits，andhigh-eficiencywatersourceheatpumpsintheheating system，andtreatingach partasdiferentsugroups.Bycoretingtheparticleinertia weightsofeachsubpopulation，themultiswarmsynergisticmechanismisused toavoidthesolutionprocessfromfallingintoalocaloptimum，andtheadaptivecontrol strategy（ACS）isusedtocontroltheinfluenceofhistoricalinformationtoimprovethesearcheficiencyofthesubpopulatinsand theaccuracyof the targetsolution.Theexperimentalresultsshow that theproposedmethodcanoptimizethecooperative operationcapabilityof thePV-energystorage-heat pumpsystem，avoidtheenergy wastecausedbyresourcemismatch，and successfullyrealize thegoalofsuplyingtheheatpumpwithcleanenergy，whichefectivelyaleviates thepressureofwinter heatingsuplyinthenorthernregion，andatthesametimeimprovethereliabilityofpowersupplyfortheof-gridloadstoa higher level， which is both environmentally friendly and has potentials for engineering applications.

Keywords：heat pump heat-supplysystem;photovoltaicpower generation;batery energy storage;adaptive multi-objective particle swarm algorithm; energy allocation;system optimization

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