Method, device and electronic equipment for determining time section of power system

Abstract

The present application provides a method, device and electronic equipment for determining a time section of a power system, which relate to the technical field of power systems and can solve the technical problem of low accuracy of the similarity results of the time section. The method includes: obtaining the historical time section of the power system; taking the target time section and the time section with the least similarity with the target time section as the initial clustering centers respectively, and clustering the historical time sections to obtain the first time section The first cluster corresponding to the section and the second cluster corresponding to the second time section; repeat the steps: re-determine the center of the second cluster as the third time section, and use the first time section and the third time section as new cluster centers , clustering the historical time sections to obtain the first cluster corresponding to the first time section; screening multiple time sections in the first cluster to obtain the section with the highest similarity to the target time section.

Description

technical field [0001] The present application relates to the technical field of power systems, and in particular to a method, device and electronic equipment for determining a time section of a power system. Background technique [0002] In the field of power system, the time section of the power system refers to the overall operating state of the power grid at a certain moment in the power system, including the line flow, node voltage, load, power generation and equipment that have the power grid running at this moment status and other data information. In actual operation, the power grid will save a time section of the power system every 5 minutes to 15 minutes. [0003] In the actual dispatching work of the power system, the operation decision-making process of the power system needs to consider many factors, and the time section is an important basis for many tasks such as power grid operation arrangement, operation decision-making, static security analysis, power flow...

AI Technical Summary

Problems solved by technology

However, in this method, the selection of the cluster center has a great influence on the clustering results, and it is easy to classify the sections that are more similar to the current time section as non-similar types, but there are some similarities in the final similar types that are different from the current time section. Sections with less time-section similarity

Therefore, the accuracy of similarity results obtained by current similarity clustering methods is low

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