Discussion on Mapping-Based Plug and Play Technology in Web-Based Cellular Distribution Network
In order to cope with the energy crisis, web-based cellular distribution network with high independent decision-making ability and efficient collective coordination ability has become a new development direction of distribution network. In this paper, a plug-and-play technology based on a three-layer model mapping scheme is proposed for the access and automatic upgrading of new intelligent terminals and power electronic devices in the web-based cellular distribution network scenario, as well as the dynamic reconfiguration of the cell. It can realize the automatic identification and parameter configuration of intelligent control terminals, support the control of intelligent terminals and power electronic devices by cell edge devices, and further support the update and upgrade process of intelligent devices and the dynamic reorganization process of the cell. Aiming at the problem of model inconsistency in the web-based cellular distribution network scenario, this paper first proposes a mapping scheme between the three layers of the distribution master station model, the cell edge device model and the intelligent control terminal model. Then, the implementation process of the plug and play mechanism is described. Finally, this paper discusses the dynamic topology identification and device configuration process in the process of cell dynamic reconfiguration. The proposed plug-and-play architecture can support the process of cell reconfiguration.
Authors
- Zhou Liu (ORCID: https://orcid.org/0000-0003-3396-8280)
- Zhenshang Wang (ORCID: https://orcid.org/0000-0001-7563-660X)
- Fei Chen (ORCID: https://orcid.org/0000-0001-8132-539X)
- Yuming Zhao (ORCID: https://orcid.org/0000-0002-2548-5767)
- Jing Wang (ORCID: https://orcid.org/0000-0002-6847-8452)
- Zhu Fu-tian
Institutions
- Shanghai Jiao Tong University (CN)
- Shenzhen Stock Exchange (CN)
Publication Details
- Published
- 2024-09-12
- DOI
- https://doi.org/10.1109/ciced63421.2024.10754006
- Primary Topic
- Smart Grid and Power Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00