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Development of a Mathematical Control-Oriented Model for Floating Offshore Wind Turbines 认领 引用
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作者 Segundo Esteban Matilde Santos 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第4期585-612,共28页
Wind turbines are highly efficient energy converters that exploit locally available renewable resources across many regions.In modern floating offshore wind turbines(FOWTs),strong aerodynamic and hydrodynamic loads gi... Wind turbines are highly efficient energy converters that exploit locally available renewable resources across many regions.In modern floating offshore wind turbines(FOWTs),strong aerodynamic and hydrodynamic loads give rise to nonlinear and tightly coupled dynamics,which typically require dedicated—and computationally demanding—simulation tools for analysis and control design.This work introduces a simplified,control-oriented mathematical model of a FOWT,derived directly from fundamental force and torque balances and explicitly incorporating the gyroscopic effect,which is often neglected in onshore wind turbines due to its comparatively lower significance.Model parameters are identified for the NREL 5-MW reference turbine using autoregressive models with exogenous input(ARX)techniques.The proposed model is validated against the standard NREL OpenFAST simulation framework.Its utility is further demonstrated by designing a classical control system based on the simplified model and applying it to a high-fidelity nonlinear FOWT simulation,yielding satisfactory performance.The main advantages of the model are:(a)its compact parameter set enables computationally efficient simulations;(b)its feedback structure is based on relative forces,making it applicable under a broader range of disturbances than conventional input-output models;(c)its simplicity facilitates the identification of fundamental behaviors and rapid assessment of dynamic couplings;and(d)its structure is easily modifiable,allowing redesign of components or targeted alteration of the system dynamics through control actions.Overall,the model remains fully explainable,preserving a clear link to the underlying physical principles. 展开更多
关键词 Wind energy floating offshore wind turbine modeling control identification explainability
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Offshore Wind Turbines Anomalies Detection Based on a New Normalized Power Index 认领 引用
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作者 Bassel Weiss Segundo Esteban Matilde Santos 《Computer Modeling in Engineering & Sciences》 SCIE EI 2025年第9期3387-3418,共32页
Anomaly detection in wind turbines involves emphasizing its ability to improve operational efficiency,reduce maintenance costs,extend their lifespan,and enhance reliability in the wind energy sector.This is particular... Anomaly detection in wind turbines involves emphasizing its ability to improve operational efficiency,reduce maintenance costs,extend their lifespan,and enhance reliability in the wind energy sector.This is particularly necessary in offshore wind,currently one of the most critical assets for achieving sustainable energy generation goals,due to the harsh marine environment and the difficulty of maintenance tasks.To address this problem,this work proposes a data-driven methodology for detecting power generation anomalies in offshore wind turbines,using normalized and linearized operational data.The proposed framework transforms heterogeneous wind speed and power measurements into a unified scale,enabling the development of a new wind power index(WPi)that quantifies deviations from expected performance.Additionally,spatial and temporal coherence analyses of turbines within a wind farm ensure the validity of these normalized measurements across different wind turbine models and operating conditions.Furthermore,a Support Vector Machine(SVM)refines the classification process,effectively distinguishing measurement errors from actual power generation failures.Validation of this strategy using real-world data from the Alpha Ventus wind farm demonstrates that the proposed approach not only improves predictive maintenance but also optimizes energy production,highlighting its potential for broad application in offshore wind installations. 展开更多
关键词 Fault identification anomaly detection normalization offshore wind turbines wind energy
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