A Survey of Heterogeneous Data Aggregation, Integration and Sharing in Electric Power

Abstract

Heterogeneous data fusion technology for electric power big data is a crucial support for the construction and development of smart grids. The rapid development of smart grids has resulted in a significant increase in the amount of data within power systems, which is characterized by being multi-source, heterogeneous, and large-scale. This data includes real-time operational information, equipment status monitoring data, and market transaction records from various devices and systems. It is essential for enhancing grid operational efficiency, ensuring the security and stability of the grid, and optimizing resource allocation. By integrating multi-source heterogeneous data, electric power big data fusion technology enables data integration, sharing, and comprehensive analysis. This provides core technical support for the intelligent management of power systems. Currently, this technology has made significant progress in data cleaning, transformation, and integration. It is widely applied in areas such as grid dispatching, load forecasting, and equipment status monitoring.