Application research of large-screen visualization technology based on improved k-means in power grid system. Issue 1 (1st December 2022)

• Record Type: Journal Article
• Authors: Shi, Jinping; Wan, Xiang; Gou, Yi; Huang, Yuan; Fan, Yana; Huang, Xing
• Is Part Of: Journal of physics. Volume 2409 Issue 1(2022)
• Publication Date: 2022-12-01
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2409/1/012024
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: With the advent of the era of smart power, the scale of power systems continues to expand, and a large amount of data generated during power operation cannot be analyzed and shared on time. Aiming at this problem, this paper proposes an improved K-means clustering algorithm, and it performs cluster analysis on a large amount of data generated by the power grid. And a large-screen visualization real-time monitoring platform has been established, and the real-time operating status of the distribution network can be obtained through the cluster analysis of a large amount of data. The results show that the improved K-means algorithm in this paper has a better clustering effect. The real-time large screen visual monitoring platform can effectively monitor, warn and control the running state of the power grid. The visualization technology effectively improves the efficiency of real-time monitoring and safety control of the power system.