New energy output abnormity correction method based on combination identification and spatial correlation

Abstract

The invention discloses a new energy output abnormity correction method based on combination identification and spatial correlation. The method comprises the following steps: carrying out abnormal value identification on new energy output data by adopting a quartile method and a density-based outlier detection method; obtaining an abnormal data preliminary correction result based on Kalman filtering; and calculating spatial correlation among the outputs of the new energy power stations based on mutual information, selecting a plurality of related power stations for each new energy power station, performing secondary correction on abnormal data based on the weighted sum of the outputs of the selected power stations, and taking an average value of primary correction and secondary correction results as a final abnormal data correction value. According to the method, the abnormal data of the new energy output is fully found based on the combined anomaly recognition method, the spatial correlation between the new energy outputs is considered in the anomaly correction process, the correction result better meeting the real historical natural conditions of the new energy power station is obtained, the prediction precision of the new energy output is improved, the new energy consumption level is improved, and the new energy power generation efficiency is improved. And lasting development of new energy power generation is ensured.

Description

technical field [0001] The invention belongs to the technical field of electric power systems, and in particular relates to a new energy output anomaly correction method based on combination identification and spatial correlation. Background technique [0002] With the rapid development of the global economy, the demand for energy is increasing year by year. Under the dual pressure of increasingly severe environmental pollution and shortage of fossil energy, new energy has been highly valued and widely used worldwide due to its advantages of being renewable, clean, and low-carbon. However, the intermittence, randomness and volatility of new energy power generation will cause a certain impact on the stable operation of the power system when new energy is connected to the grid on a large scale. Accurately grasping the forecast of new energy output is conducive to taking corresponding stabilizing control measures and helping to improve the utilization rate of new energy and th...

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Problems solved by technology

[0004] Purpose of the invention: The present invention aims at the deficiencies of current new energy output data anomaly identification and correction methods, including problems such as incomplete anomaly identification types and abnormal data correction values ​​deviating from the actual historical natural conditions of new energy power plants, etc., and proposes a combined anomaly identification and accounting space The new energy output anomaly correction method based on correlation uses a combination method based on the quartile method and outlier detection to identify abnormal data, and then corrects the abnormal data through Kalman filtering and takes into account spatial correlation, so that the new energy output abnormal value is eliminated. Fully identify and correct the value more in line with its output characteristics

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