Method of selecting optimized wind farm model by using artificial neural network

摘要

The present invention relates to a method for selecting an optimal wind power generation model using an artificial neural network, and according to an embodiment, the steps of: (a) modeling a grid of a predetermined area and inputting initial conditions; (b) selecting a plurality of grids; (c) for each of the selected plurality of grids, selecting one of the plurality of scenarios according to the wind power generation scale, the transmission network construction, and the wind turbine type as the wind power generation model; (d) generating a wind resource map by calculating economic evaluation values for all grids in the predetermined area based on the economic evaluation values of the selected wind power generation model for each grid of the plurality of grids; (e) selecting one or more grids on the wind resource map; and (f) selecting a wind power generation model for the selected grid; provides a wind power generation model selection method comprising.