Design and development of power data service platform based on multi dimension

Abstract

Abstract With the acceleration of power grid modernization, the scale of power grid is expanding. Running operations are becoming increasingly complex. There is a great demand for the analysis and calculation of the operation status of the power grid, line transformation design, fault analysis and treatment, etc. At the same time, with the construction of modern power grids and the continuous development of the power industry, the security problems of power systems have become increasingly prominent. This paper introduced the background of the power data service platform and then conducted academic research and summary on the research and development and design of power data service platform and multidimensional power data service platform. Then it was summarized with the analysis of international journals of emerging power systems. After establishing the algorithm model, the spark platform algorithm framework various algorithms were proposed to provide a theoretical basis for the R&D (research and development) and design of the multidimensional power data service platform. Then it analyzed the factors related to the R&D and design of power data service platform. At the end of the article, the simulation experiment was carried out, and the experiment was summarized and discussed. The experimental results showed that the average value of the neural network on the three criteria is 78.03 %. Therefore, the stability rate, accuracy rate, and recall rate of such algorithms as neural network are excellent in the research and development and design of power data service platform.