A fault classification scheme based on protective agents for microgrid with parameters impact analysis
Saman Esmaeilbeigi, Hossein Kazemi Karegar, Abolfazl Najar · 2025
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Description
Small power grids need fast, sure fault calls, and Saman Esmaeilbeigi and co-authors built a guard-agent scheme to make them, in work from twenty twenty-five. Smart devices watch the grid while paired neural nets class the fault. Settings were then varied one by one to see what bends the scores.
Fault spotting and classing both ran from the mid-nineties to near full marks across setups. Place errors stayed in the low single digits. The hybrid net beat its plain twin in every scene. More watchers, more branches, and better nets each nudged scores up. The study doubles as a tuning guide for grid guards.
Catalog record
| CREATOR | Saman Esmaeilbeigi, Hossein Kazemi Karegar, Abolfazl Najar |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 78 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |