风电智能化技术创新驱动能源技术转型的机制与实践研究

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中图分类号：TM614 文献标志码：A 文章编号：2095-2945(2026)08-0028-(

Abstract:Thispaperthoroughlyinvestigates howinteligentwindpowertechnologyinnovationdrivesenergytechnology transformation，analyzingitsinherentmechanismsandpracticalapplications.Theresearchfocusesontheaplicationofcutingedgetechnologiessuchassmartsensing,intellgentcontrol，andintellgentfaultdiagnosisinthewindpowersetor.Troughan inovativesensornetworkoptimizationdesign，whichintegratesdynamicweightfusionandKalmanfilering，dataperception accuracyissignificantlyenhanced.Intermsofcontrol,afusionofModelPredictiveControl(MPC）andadaptivecontrolis employedtoachieveoptimalpowercaptureandloadcontrolforwindturbines.Forfaultdiagnosis,thispaperproposesadep learningmodelbasedonRecurentNeuralNetwork(RNN）toimprovetheaccuracyandrobustnessoffaultidentfcation. Simulationresultsvalidatetheremarkableefectivenessoftheseinteligenttechnologiesinenhancingwindpowersystem efficiency， improving grid adaptability,and enabling predictive maintenance.

Keywords:intelligentwind power；sensor fusion;model predictivecontrol;adaptivecontrol;recurentneural network

当前，全球正经历一场深刻的能源转型，旨在应对气候变化、环境污染及能源安全等严峻挑战。（剩余7481字）