Reduced-order Wake Model of Wind Farm Based on Sparsity Promoting Dynamic Mode Decomposition
To solve the problems of wind farm wake with high dimensionality and non-unique mode ordering based on standard dynamic mode decomposition,sparse enhanced dynamic mode decomposition(SPDMD)is used to model wind farm wake.By optimizing the amplitude of different modes of wake through sparse enhancement processing,the dominant modes in wind farm wake are extracted,and the wind farm wake model under data-driven paradigm is constructed based on the dominant modes.Through the case analysis of the medium-fidelity wind farm in WFSim and the high-fidelity wind farm in SOWFA,the results show that compared with the standard dynamic mode decomposition,the spatiotemporal distribution of the modes obtained by the SPDMD method is more concentrated,and the wind farm wake can be reconstructed with fewer modes.The advantages of sparse enhanced dynamic mode decomposition in the construction of the reduced model of wind farm wake are proved.
wind farm wakesparsity promoting dynamic mode decompositionwake modelreduced-order model
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