Towards Automated Fault Management in Smart Grid Communication Systems
Author
Doumerc, Robin
Term
4. term
Education
Publication year
2014
Submitted on
2014-06-04
Pages
89
Abstract
Denne kandidatafhandling undersøger automatiseret fejlhåndtering i kommunikationssystemer med særligt fokus på smart grid-netværk. Et smart grid er et moderne elnet, der bruger digitale kommunikationsløsninger og en decentral arkitektur til at styre strømmen mere effektivt. Fordi data er kritiske, anvender sådanne systemer typisk to adskilte netværk: et primært og et backupnet. Denne opsætning er blevet emuleret i netværkssimulatoren OMNeT++, hvor ADSL (fast bredbånd) fungerer som primært net og LTE (mobilnet) som sekundært. Afhandlingen implementerer en fejldetekteringsalgoritme, der bruger aktive prober—små testbeskeder—og målinger som end‑to‑end‑forsinkelse (tiden fra afsender til modtager) og tiden mellem probernes ankomst. Simulationerne viser, at detekteringsprocessen fungerer. De bedste resultater opnås dog med højfrekvente prober, hvilket kan begrænse systemets skalerbarhed. Fremtidigt arbejde kan undersøge andre primære net, fx trådløse mesh‑net, eller simuleringer på testbeds/eksperimentelle testopsætninger.
This thesis examines automated fault management in communication systems, with a particular focus on smart grid networks. A smart grid is a modern electricity network that uses digital communications and a decentralized architecture to manage power more efficiently. Because the data are critical, these systems often rely on two separate networks: a primary and a backup. This setup was emulated in the OMNeT++ network simulator, using ADSL (wired broadband) as the primary link and LTE (a mobile network) as the secondary. The thesis implements a fault‑detection algorithm that uses active probes—small test messages—and metrics such as end‑to‑end delay (the time from sender to receiver) and probe inter‑arrival time (the time between probes). The simulations show that the detection process works. However, the best performance is achieved with high‑frequency probes, which can reduce the system’s scalability. Future work could explore other primary networks, such as wireless mesh, and simulations on experimental testbeds.
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