Abstract
Effective description of electric data resources is an important basis for electric data modeling. With the access of large-scale distributed new energy, electric allocation data resources are more complex and changeable, and existing data description methods are difficult to accurately describe. Aiming at the above problems, the research on hierarchical description method of electric distribution and distributed new energy data resources based on complex network is carried out. Based on the complex network theory, the hierarchical description method of data resources is formed by comprehensively describing the external characteristics, internal elements, organizational structure, and relationships between data resources. The holographic modeling technology of electric distribution and distributed new energy data resources based on graphic computing is studied. Data modeling is an important basis for data fusion and sharing. The production, operation, control, measurement, and other business links in the field of electric distribution and distributed new energy maintain a certain degree of independence from each other, and there is an “information island” problem in the data resources of each link. In view of the above problems, research on holographic modeling technology of electric distribution and distributed new energy data resources based on graphic computing is carried out. Based on graphic computing technology, equipment is taken as the core, covering resources, assets, measurement, topology, graphics, and other all-round information, to build a holographic data model of electric distribution and distributed new energy data resources, and support the deepening integration and sharing of electric distribution data.
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Acknowledgements
This work was supported by State Grid Corporation of China’s Science and Technology Project (5400-202258431A-2-0-ZN) which is ‘Research on deep data fusion and resource sharing technology of new distribution network’.
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Qiao, J., Peng, L., Zhou, A., Zhu, L., Yang, P., Pan, S. (2023). Research and Implementation of Electric Equipment Connectivity Data Analysis Model Based on Graph Database. In: Patnaik, S., Kountchev, R., Tai, Y., Kountcheva, R. (eds) 3D Imaging—Multidimensional Signal Processing and Deep Learning. Smart Innovation, Systems and Technologies, vol 348. Springer, Singapore. https://doi.org/10.1007/978-981-99-1145-5_5
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DOI: https://doi.org/10.1007/978-981-99-1145-5_5
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