A fine-grained assessment method for regional wind energy resources

Abstract

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.

Description

technical field [0001] The invention relates to the field of meteorology and new energy power generation systems, in particular to a fine-grained assessment method for regional wind energy resources. Background technique [0002] At present, wind energy is the most mature and most valuable energy source among renewable energy generation technologies, but the intermittent nature of wind energy will cause its power generation to fluctuate. With the large-scale and more and more regional wind power development and grid connection, it also brings great challenges to the safe and economic operation of the power grid. [0003] At present, in the traditional wind energy resource assessment and analysis methods of wind farms, the annual observation data evaluation method of the on-site anemometer tower is usually used as the unit, but this method itself has certain risks and defects. Firstly, the evaluation area is limited, and there are certain risks for large-scale wind farms wit...

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Problems solved by technology

Firstly, the evaluation area is limited, and there are certain risks for large-scale wind farms with a large simulation range or too many installed capacity; secondly, there are certain limitations in the data reliability, representativeness and representative year data processing methods of wind measuring towers. Uncontrollable factors; thirdly, this evaluation method cannot dynamically describe regional wind energy resources, and has little reference value for the actual power generation of wind farms after grid connection

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