Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Yuzhan Dong"'
Publikováno v:
Applied Sciences, Vol 13, Iss 16, p 9279 (2023)
One of the main factors in triggering cascading outages is the unexpected tripping of backup protection caused by load encroachment (LE). Hence, LE should be identified quickly to avoid unexpected tripping. This paper proposes a fast LE identificatio
Externí odkaz:
https://doaj.org/article/0e7c4016aeb845718aa8a689f3f0c244
Publikováno v:
Applied Sciences, Vol 13, Iss 14, p 8521 (2023)
This paper puts forward a fault location method combining the improved matrix algorithm and the genetic tabu algorithm based on multi-source information in view of the limitation of existing fault location methods in active distribution networks, suc
Externí odkaz:
https://doaj.org/article/3dbb919e0e594cecbdd9cdc37165a8fd
Publikováno v:
Applied Sciences, Vol 12, Iss 18, p 8989 (2022)
In order to improve the efficiency of the devices’ fault diagnosis of the protection systems of intelligent substation, a fault diagnosis method based on a gradient boosting decision tree (GBDT) was proposed. Using the integrated alarm information,
Externí odkaz:
https://doaj.org/article/2ff792ba5b56484b9a1cb98d0656d25c
Publikováno v:
Applied Sciences, Vol 12, Iss 15, p 7539 (2022)
Digital twin technology aims to build a map of physical entities in virtual space, and simulate the real-time state and dynamic characteristics of physical devices through bi-directional interactive data flow. In order to guarantee the safe and stabl
Externí odkaz:
https://doaj.org/article/74293bd3314d47308245777787947451