Wind and light typical scene construction method containing meteorological data based on density peak value-FCM

Abstract

The invention discloses a wind and light typical scene construction method containing meteorological data based on a density peak value-FCM, and the wind and light typical scene construction method comprises the following steps: S1, obtaining the data of historical numerical weather forecast and the historical year actual measurement output data of a wind power plant and a photovoltaic power station, and constructing an original data set matrix; S2, performing dimension reduction processing on the original data set matrix constructed in the S1, and constructing a weather feature matrix after dimension reduction; S3, according to a fuzzy C-means clustering algorithm optimized by a density peak value, carrying out clustering processing on the weather characteristic matrix obtained in the S2 after dimension reduction; and S4, classifying the historical sunshine output data of the wind power plant and the photovoltaic power station according to a weather mode identification result in the S3, and then fitting to obtain wind and light typical sunshine output scenes in different weather modes. According to the method, dimension reduction processing is carried out on various meteorological feature data, so that original data features can be reserved to the maximum extent, data redundancy can be avoided, and the calculation efficiency is improved.

Description

Technical field [0001] The present invention relates to a scene generated based on a typical clustering methods, in particular methods scenery scene containing a typical configuration of the weather data based on peak density -FCM. Background technique [0002] In the realization of "two-carbon" target background, my country's new energy and rapid development, has made remarkable development achievements, and new energy in the highest proportion, it is the most widely studied wind and solar. However, due to light winds and other natural resources is limited by climate change, wind power and photovoltaic power generation has a significant volatility, uncertainty, and anti-peaking characteristics, so large-scale wind power and photovoltaic power generation and network will secure and stable operation of the power grid a tremendous challenge, abandoned abandoned wind light phenomenon is also increasingly prominent. It is necessary to take advantage of the complementary nature of win...

AI Technical Summary

Problems solved by technology

At the same time, this method uses the density peak algorithm to preprocess the data after dimension reduction, determines the number of cluster centers in advance, solves the problem that the FCM algorithm is sensitive to the setting of the number of cluster centers, and effectively improves the clustering accuracy and wind and light typicality. Representativeness of the output scene

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