Paper
25 September 2023 Unified method of power grid spatio-temporal data based on Beidou grid code
Zhirong Peng, Gang Chen, Xiaoguang Huang, Liang Guo, Weijie Huang
Author Affiliations +
Proceedings Volume 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023); 1278836 (2023) https://doi.org/10.1117/12.3004414
Event: Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 2023, Kuala Lumpur, Malaysia
Abstract
In the process of unified data processing, due to the lack of analysis of its spatio-temporal attributes, the fitting effect of the data corresponding to the same household is poor. Therefore, a unified method for spatio-temporal data of power grid based on Beidou grid code is proposed. After the sphere corresponding to the coverage area of the grid is divided proportionally, the mutual conversion relationship between the coordinates of the grid spatiotemporal data and the longitude and latitude of the grid positioning corner is established, and the ontology grid spatiotemporal data in the grid grid module is divided into different classes. In the data unification stage, based on the control points (spatiotemporal data of the target power grid), the nonlinear interpolation method is used to realize the unification of multivariate data, and the spatiotemporal data set of the target power grid is interpolated to obtain the coverage surface of the power grid data, so as to realize the data unification on the basis of elastic interpolation. In the test results, the unified data fitting statistical parameters and Ljung Box Q (18) parameters under the design method are at a high level, with good fitting effect.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhirong Peng, Gang Chen, Xiaoguang Huang, Liang Guo, and Weijie Huang "Unified method of power grid spatio-temporal data based on Beidou grid code", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 1278836 (25 September 2023); https://doi.org/10.1117/12.3004414
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KEYWORDS
Power grids

Data modeling

Interpolation

Data processing

Design and modelling

Information technology

Analytical research

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