Wind power plant generation power prediction method and system and computer readable storage medium

Abstract

The embodiment of the invention provides a wind power plant generation power prediction method and system and a computer readable storage medium, and the method comprises the steps: obtaining the future weather forecast wind conditions of a plurality of sub-regions of a wind power plant, the wind power plant being divided into the plurality of sub-regions, and each sub-region comprising at least one fan; correcting the future weather forecast wind regime of the sub-region by using the historical weather forecast wind regime of the sub-region in the same time period and the historical actually measured wind regime of the sub-region to obtain the corrected forecast wind regime of the sub-region; and predicting the future total generated power of the wind power plant based on the corrected forecast wind conditions of the plurality of sub-regions. According to the wind power plant generation power prediction method, the accuracy of wind power plant power prediction is effectively improved.

Description

technical field [0001] The embodiments of the present application relate to the field of wind power generation, and in particular, to a wind farm power generation power prediction method, system, and computer-readable storage medium. Background technique [0002] With the gradual exhaustion of coal, petroleum and other energy sources, human beings pay more and more attention to the utilization of renewable energy. As a clean and renewable energy, wind energy has been paid more and more attention by countries all over the world. With the continuous development of wind power technology, the application of wind turbines in the power system is increasing. Wind turbines are large-scale equipment that convert wind energy into electrical energy, and are usually installed in areas with abundant wind energy resources. [0003] With the rapid growth of new energy installed capacity, the impact of the intermittent, random and volatility of new energy power generation on the power gri...

AI Technical Summary

Problems solved by technology

At the same time, for mountainous projects, the terrain is relatively complex, the wind turbines cover a wide range, the altitude difference is obvious, and there is an obvious local microclimate. Wind resources of wind farms

Under the premise that mountain weather forecasting itself is difficult, there is also a representative problem, which seriously affects the accuracy of power forecasting

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