Abstract
The Matlab/Simulink model of the Supergen (Sustainable Power Generation and Supply) Wind 5 MW exemplar wind turbine, which has been employed by a number of researchers at various institutions and Universities over the last decade, is improved, especially in speed, to facilitate wind farm modelling. Note that wind farm modelling usually involves duplicating wind turbine models, hence the speed of each turbine model is critical in wind farm modelling. The objective is achieved through various stages, including prewarping, implicit and explicit discretisation, and conversion to C. Simulation results are presented to demonstrate that improvement in speed is significant and that the resulting wind turbine model can be used for wind farm modelling more efficiently. It is important to highlight that improvement in speed is achieved without compromising the complexity of the turbine model; that is, each turbine included in a wind farm is not simplified or compromised.
Highlights
The Matlab/Simulink® (Matlab) model of the Supergen (Sustainable Power Generation and Supply) Wind 5 MW exemplar wind turbine was first introduced in [1]
The Matlab model has been utilised for various different projects [3, 4], especially within the Supergen Wind Consortium, over the last decade
Simulation results are presented to demonstrate that improvement in simulation speed due to the optimal discretisation and conversion to C is promising, which makes the model more suitable for wind farm modelling
Summary
The Matlab/Simulink® (Matlab) model of the Supergen (Sustainable Power Generation and Supply) Wind 5 MW exemplar wind turbine was first introduced in [1] It includes modules of aerodynamics, rotor dynamics, actuator dynamics, tower dynamics, drive-train, generator, etc, and has been updated/improved over the last decade and carefully validated against the high fidelity aero-elastic model, i.e. in DNV-GL Bladed (Bladed), of the same exemplar turbine. (i) optimal, manual discretisation to prevent the Simulink solver from non-optimally performing numerical integration for simulating the stiff drive-train module. Simulation results are presented to demonstrate that improvement in simulation speed due to the optimal discretisation and conversion to C is promising, which makes the model more suitable for wind farm modelling.
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