Analysis of Visual Distribution Optimization of Power Grid Based on Data Mining

The continuous development of intelligent distribution technology in China has driven the vigorous construction of smart grid. Different data information systems play a vital role in the application of the distribution network, so the data scale of distribution network is expanding, and the complexity of data information is increasing. In order to accurately dig out the hidden laws from the operation and maintenance process of the smart grid, and ensure the stable operation of the smart grid, this study uses data mining related technologies to conduct an in-depth analysis of the visual power distribution technology of the grid. The results show that when the previous item is an uncertain situation such as unplanned power outages or faulty power outages, the data mining results of the latter item include light and no-load distribution transformers, heavy and planned power outages, which are caused by poor maintenance work, so more visual power distribution technology should be used. This study provides a certain reference for the optimization of power grid visualization distribution technology.