Multi-dimensional Index Construction of Electric Power Multi-source Measurement Data considering Spatio-temporal Correlation

The operation of complex AC/DC power grid changes rapidly and dynamically, which objectively puts forward higher requirements for on-line analysis, and it is urgent to improve the basic data quality of power grid. Because of low quality and poor synchronization of the basic data of power grid, it is impossible to accurately map the actual operation of the power grid. At the same time, the cross-system data matching degree is low and the data correlation is poor, so it can not support the multi-scale data analysis for all kinds of applications. In this paper, the associated method of multi-source heterogeneous data in the power grid is studied. Combined with big data's access characteristics, big data storage, big data retrieval and artificial intelligence technology, the high-speed data storage and index architecture of power big data are constructed, and a multi-dimensional index reflecting the associated relationship of operating data is established from the dimensions of time, space, application, device and so on. It is easier to analyze multi-source data, to improve the basic data quality of power grid, which provides effective support for accurate data analysis and evaluation of power grid.