HIGHLIGHTS
SUMMARY
Based on the idea of big data-driven power system rule extraction and operation decision-making, this paper proposes a method for extracting limit transmission power operation rules of wind power system transmission section based on differential evolution extreme_learning_machine. Aiming at the high-dimensional operation feature attribute set of complex interconnected power grids, the feature dimensionality reduction is realized based on the RELIEF-F algorithm, and the differential evolution extreme_learning_machine is further used to learn and extract the association prediction rules of the transmission section limit transmission power in the dimensionality reduction feature space . . .
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