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

摘要

The present invention relates to a method of selecting an optimized wind power generation model using an artificial neural network. According to one embodiment of the present invention, the method comprises the steps of: (a) performing grid modeling on a predetermined region and inputting an initial condition; (b) selecting a plurality of grids; (c) selecting one of a plurality of scenarios according to scale of wind power generation, transmission network construction, and types of wind turbines as a wind power generation model for each of the selected grids; (d) generating a wind resource map by calculating each economic evaluation value for all grids in the predetermined region based on the economic evaluation value of the wind power generation model selected in each grid of the selected grids; (e) selecting one or more grids on the wind resource map; and (f) selecting a wind power generation model for the selected grids.