基于改进SHADE算法的船舶电力系统推力分配-豆柴文库

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基于改进SHADE算法的船舶电力系统推力分配
1.Introduction
Shippropulsionsystemsplayacriticalroleintheoperationofships,determiningtheirspeed,fuelefficiency,andoverallperformance.Akeycomponentofthesesystemsisthepowerallocationprocess,whichdetermineshowmuchpowerisallocatedtoeachenginetoachieveadesiredspeed.ThisprocesscanbeoptimizedusingalgorithmssuchastheSelf-AdaptiveDifferentialEvolution(SHADE)algorithm,whichhasshownpromiseinpreviousresearch.
Inthispaper,weaimtoimprovetheperformanceoftheSHADEalgorithminshippowerallocationbyintroducingnewtechniquesandupdatestotheoriginalalgorithm.WewillevaluatetheperformanceofourproposedmethodagainsttheoriginalSHADEalgorithmusingnumericalsimulations,anddemonstrateitseffectivenessinachievingoptimalpowerallocationforshippropulsionsystems.
2.Background
2.1ShipPropulsionSystems
Thepropulsionsystemofashiptypicallyconsistofmultipledieselengines,electricmotors,oracombinationofboth,thatgeneratepowertodrivethepropellerandmovetheshipforward.Thepowerallocationprocessdetermineshowmuchpowerisallocatedtoeachengineormotortoachieveadesiredspeed.
2.2SHADEAlgorithm
TheSelf-AdaptiveDifferentialEvolution(SHADE)algorithmwasdevelopedtosolveoptimizationproblemsinvariousfields.SHADEcanbeusedforpowerallocationproblems,whereitcanoptimizethepowerallocationprocesstoachievebetterefficiency,cost-effectivenessandstableperformanceinshippropulsionsystems.
ThebasicstructureoftheSHADEalgorithminvolvesapopulationofindividuals,eachofwhichcorrespondstoacandidatesolution.Thealgorithmappliesdifferentialevolutiontogeneratenewcandidatesolutions,whicharethenselectedbasedonafitnessfunction.SHADEadditionallyintroducesaparameteradaptationmechanismtooptimizethecontrolparametersofthealgorithmduringruntime.
3.ProposedMethod
3.1FitnessFunction
ThefitnessfunctionisanimportantparameterintheSHADEalgorithm.Itdeterminesthequalityofeachcandidatesolutionandguidesthesearchprocesstowardsfindingoptimalsolutions.Inthisstudy,weproposeanewfitnessfunctionthattakesintoaccountdynamicloadvariationsandreal-timeoperational