Security control analysis of distribution network scheduling data based on multi-source information fusion

With the development of smart grids, distribution network dispatch systems are facing increasingly complex challenges in multi-source data processing and security management. This article proposes a secure control method for distribution network scheduling data based on multi-source information fusion, aiming to improve the accuracy, real-time performance, and reliability of scheduling data by integrating information from different data sources. In addition, by studying security protection strategies during the data fusion process, potential security threat risks have been reduced. Through simulation analysis, the effectiveness of this method in data fusion and security control analysis capabilities has been verified. Finally, this article looks forward to the development direction of power grid intelligence, cloud edge collaborative computing, and standardization, providing reference for further improving the intelligence and security of distribution network dispatch systems.