A direct forecasting method for wind power ramp-up events with improved training sample category imbalance

Abstract

The invention discloses a method for direct forecasting of wind power ramp events that improves the unbalanced training sample categories. The method includes the following steps: Step 1: setting the threshold of wind power ramp events according to the installed capacity of the wind farm, and performing the original wind power data Recognition of climbing events; Step 2: Define a hierarchical oversampling method based on wind power characteristics, and set corresponding sampling parameters according to actual wind power data; Step 3: Use the original samples obtained in Step 1 and the established based on The hierarchical oversampling method of wind power characteristics processes the original samples; Step 4: Use the samples processed in Step 3 to establish a data-driven prediction model to predict wind power ramp events. The present invention not only effectively improves the sample class imbalance problem between wind power climbing events and non-climbing events, but also improves the unbalanced sample distribution problem of high-power climbing events and low-power climbing events within the climbing event samples .

Description

technical field [0001] The invention relates to a method for direct forecasting of wind power ramping events, in particular to a method for direct forecasting of wind power ramping events for improving the unbalanced categories of training samples. Background technique [0002] With the development of the times, "clean energy" and "renewable energy" have become the main direction of energy development; among them, wind power generation just meets the requirements of cleanliness and regeneration, and has become a very important way of generating electric energy. However, large-scale wind power development and utilization also face some corresponding problems and challenges. Most of the wind farms are built in remote areas with rich wind resources. The extreme weather in the region can easily cause wind power climbing events, which seriously affects the safe and stable operation of the power system. Therefore, predicting wind power ramp events and formulating effective contro...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem of unbalanced categories of training samples in the direct prediction modeling of wind power ramp events and improve the accuracy of the wind power ramp event prediction model, the present invention provides a method for direct forecasting of wind power ramp events that improves the category imbalance of training samples

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