The invention discloses a refined assessment model of regional wind energy resources, which comprises the following steps: S1, using anemometer tower observation data, SCADA data of wind turbines and terrain parameters respectively belonging in small-scale wind field ranges to establish separate multi-reference-point wind energy resource assessment models of small-scale regions, wherein the small-scale wind field ranges are 1-20 km; S2, using weather station observation data included in regional ranges of 20-200km and the existing models in the step S1 to establish correlation models, obtaining corresponding weight coefficients, and establishing dynamic models; S3, using numerical weather forecast data to establish mesoscale models of regional ranges of 200-500km; S4, using a combination of the mesoscale models, a wind farm power prediction system, a GIS geographic information model and the existing models in the step S1 and the step S2 to establish a refined self-adaptive model; and S5, using a combination of the refined self-adaptive model and a power load dispatching system to realize refined regional wind energy assessment and visual dynamic dispatching management.