Data-driven Efficient Verification Technique for Smart Substations Messages
To improve the efficiency of remote control and telemetry point verification in substations, a data-driven intelligent station information verification technology is proposed. Aiming intelligent substations, based on the remote information point system architecture, a multi-point random non-repetitive sampling method is used to achieve full coverage of information, an inconsistency verification analysis method is used for information point inspection. The closed-loop processing of remote control and telemetry point verification is realized by using the sampling verification method. efficiency and accuracy of the proposed method are verified by simulation examples.
Institutions
- China Three Gorges University (CN)
- Shanghai Electric (China) (CN)
Publication Details
- Journal
- SHILAP Revista de lepidopterología
- Published
- 2025-01-01
- DOI
- https://doi.org/10.11930/j.issn.1004-9649.202404028
- Primary Topic
- Smart Grid Security and Resilience
- Type
- article
- Field-Weighted Citation Impact
- 0.00