DGMM Based Network Traffic Prediction for Smart Substation
DGMM Based Network Traffic Prediction for Smart Substation
- Neue Suche nach: Wang, Jin
- Neue Suche nach: Wang, Zeng-Kai
- Neue Suche nach: Wang, Jin
- Neue Suche nach: Wang, Zeng-Kai
Compared with traditional substation, smart substation process layer network, which has the same meaning as relay protection and safety automatic devices, is actually equivalent to the secondary circuit of traditional substation protection. Once an exception occurs in the network traffic of process layer, it will directly affect the reliability, rapidity and agility of relay protection action. According to the characteristics of network traffic of smart substation, this paper proposed a novel dynamic grey Markov model (DGMM) based network traffic prediction approach, which could assist decision making for the network performance analysis and prediction, network failures and viruses invasion warning of smart substation. Experiments demonstrated the effective and efficiency of the proposed approach, which could guarantee the security operation of power grid.
Dokumentinformationen
DGMM Based Network Traffic Prediction for Smart Substation
2013
8 Seiten
Aufsatz (Konferenz)
Englisch
Ähnliche Titel
Li-Fi Based Smart Traffic Network
| IEEE | 2018
Smart application for traffic excess prediction
| IEEE | 2020
Substation outage rate prediction method based on lightning characteristics
| Online Contents | 2004
Smart dog for transformer substation inspection based on AI and CV
| Europäisches Patentamt | 2023