Research on Power Grid Condition Monitoring Method Based on Big Data

Abstract

With the continuous development of social economy, the requirements of the society for the continuity and stability of power grid operation are also constantly improving. As a new type of intelligent power transmission medium, intelligent power grid can effectively improve the monitoring and management effect of power grid and ensure the continuous, safe and stable operation of power network. Under this background, in order to meet the requirements of power grid condition detection and fault analysis, combined with the characteristics of smart grid architecture, this paper will propose a power grid condition monitoring method based on big data analysis technology. This method mainly includes four aspects: data preprocessing, data fusion, data analysis and state visualization, and fault determination and processing. Finally, in order to test the effectiveness of the power grid condition monitoring method, this method is applied to engineering practice, and it is confirmed that the power grid condition monitoring method based on big data can realize the intelligent monitoring of power grid condition and the rapid judgment and treatment of abnormal power grid operation. This can provide support for ensuring the stable operation of smart grid and promoting the intelligent, automatic and information development of power grid.