Operation mode division method and system for high-proportion distributed new energy power grid

By combining the k-means clustering algorithm and the traditional power system division ideas, we comprehensively consider new energy elements, construct feature quantities and cluster them, the problem of dividing the operating mode of the new power system is solved, and efficient and accurate division of the operating mode is achieved.

CN119651743AActive Publication Date: 2025-03-18CHINA ELECTRIC POWER RESEARCH INSTITUTE CO LTD +4
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Patent Information

Application Number
CN202411728716.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-28
Publication Date
2025-03-18
Estimated Expiration
2044-11-28

AI Technical Summary

Technical Problem

It is difficult for the prior art to effectively divide the operating modes of new power systems, especially when facing the volatility, randomness and intermittentity of new energy output.

Method used

The method based on the k-means clustering algorithm is adopted, combined with the idea of ​​dividing the operation mode of the traditional power system, the new energy elements are considered comprehensively, the feature quantity of the element is constructed, and typical scenarios and typical curves are obtained through clustering. Finally, the weighted feature vector of the operation mode is established for secondary clustering, and the power grid operation mode collection is obtained.

Benefits of technology

A more comprehensive and accurate division of the operation mode of high-proportion distributed new energy grids has been achieved, computing efficiency has been improved, and clustering effect and data visualization have been improved.

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Abstract

The invention discloses an operation mode division method and system for a high-proportion distributed new energy power grid, and the method comprises the steps: obtaining the operation data of a power grid, carrying out the preprocessing, carrying out the overall planning of elements affecting the operation mode of a power system, and obtaining the characteristics of each element through logic analysis; defining a characteristic quantity expression corresponding to each element characteristic, and calculating to obtain each element characteristic quantity and normalizing the element characteristic quantity; according to the normalized characteristic quantity of each element, clustering each element to obtain a plurality of element typical scenes, and extracting a typical curve of each element typical scene; in combination with permutation and combination of typical curves of typical scenes of various elements in actual daily operation, obtaining a normalized operation mode set of elements actually existing in the power grid; clustering the normalized operation modes of the elements according to the weighted feature vectors to obtain a power grid operation mode rough set, and obtaining a final power grid operation mode set through combination, calibration and supplement.
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