Research on Accurate Mapping Technology of Multimodal Data and Distribution Network Topology
The distribution network topology describes the complete architecture of the distribution network from the perspective of the connection relationship between distribution network equipment and facilities, as well as business logic. However, the basic data of multimodal distribution networks mostly describes the concrete entities of the distribution network. Only by effectively associating the two can an accurate panoramic topology of the distribution network be constructed. In response to this issue, this article studies the precise mapping method between multimodal data and distribution network topology. Research is device oriented, utilizing methods such as business identification and expert knowledge correction to establish an accurate mapping network between multimodal data and distribution network topology nodes and edges, achieving precise mapping between multimodal data and distribution network topology. This article is based on graph database technology to study the dynamic tracing method of multi temporal topology in distribution networks, achieving dynamic tracing and switching between multi temporal topology versions in distribution networks, and meeting the multi temporal topology version control requirements of multiple business processes. Compared with traditional relational data models, the distribution network panoramic dynamic topology data model is more in line with the physical form of the distribution network, with low complexity and strong scalability. It can quickly query multi temporal topology dynamics, effectively save topology storage space, and improve the efficiency of topology storage and query.
Authors
- M.-K. Liu
- Lin Peng
- Gang Wang
- Hai Yu (ORCID: https://orcid.org/0000-0001-5558-4195)
- Kai Liu (ORCID: https://orcid.org/0009-0008-1427-6231)
- He Wang (ORCID: https://orcid.org/0009-0000-2785-9374)
- Pei Yang (ORCID: https://orcid.org/0009-0008-4922-7405)
Institutions
- State Grid Corporation of China (China) (CN)
- Shanghai Electric (China) (CN)
- State Nuclear Power Technology Company (China) (CN)
Publication Details
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1145/3717934.3717972
- Primary Topic
- Power Systems and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00