Visual Power System based on Artificial Fish Swarm Algorithm

Abstract

In recent years, due to the increase in the scale of the power grid and the rapid development of computer technology, visualization technology has been increasingly used in the power grid, and has greatly improved the management ability and analysis efficiency of the complex power data of the operators in the system. Power information visualization technology can convert various complex values into more direct graphics or images for display, so that system operators can more directly and accurately grasp the meaning of the data. This paper aims to study the visual power system based on artificial fish school algorithm. Based on the analysis of visualization technology classification, visual power system demand analysis and artificial fish school algorithm, the visual power system is designed. Finally, in order to understand the practicality, this article Invite users to score the system and analyze the score results in charts. The analysis results show that the visual power system designed in this paper is higher than the traditional power data analysis system in four aspects, which verifies the effectiveness and practicability of the system in this paper.