Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Xianglong Lian"'
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol 10, Iss 1, Pp 351-360 (2024)
In power systems, failures of vulnerable lines can trigger large-scale cascading failures, and vulnerability assessment is dedicated to locating these lines and reducing the risks of such failures. Based on a structure and attribute network embedding
Externí odkaz:
https://doaj.org/article/3b1c685eb7884c77abc7c8e04afac048
Publikováno v:
Energies, Vol 13, Iss 14, p 3681 (2020)
The analysis of the fault propagation path of transmission lines and the method of identification of vulnerable lines during typhoon weather conditions is of great significance. In this context, this paper introduces the failure probability model of
Externí odkaz:
https://doaj.org/article/218c2f63b71e488d9f9a20bf7b9e86ad
Publikováno v:
International Journal of Electrical Power & Energy Systems. 145:108616
Publikováno v:
International Journal of Electrical Power & Energy Systems. 143:108389
Publikováno v:
Sustainable Energy Technologies and Assessments. 49:101761
Extreme weather events do great harm to power distribution systems, causing widespread outages and huge economic losses. It is necessary to investigate the operation and recovery methods for power distribution systems against extreme weather events w
Publikováno v:
International Journal of Electrical Power & Energy Systems. 135:107497
In recent years, extreme weather events have resulted in a number of severe power outages and economic losses. It is becoming urgent to study approaches to enhance power distribution system resilience. This paper presents a two-stage optimization met
Publikováno v:
Energies; Volume 13; Issue 14; Pages: 3681
Energies, Vol 13, Iss 3681, p 3681 (2020)
Energies, Vol 13, Iss 3681, p 3681 (2020)
The analysis of the fault propagation path of transmission lines and the method of identification of vulnerable lines during typhoon weather conditions is of great significance. In this context, this paper introduces the failure probability model of