DocumentCode
3566727
Title
Identifying line vulnerability in power system using maximum flow based complex network theory
Author
Jinjian Wang ; Xinghuo Yu ; McGrath, Brendan ; Jiangxia Zhong
Author_Institution
Sch. of Electr. & Comput. Eng., RMIT Univ., Melbourne, VIC, Australia
fYear
2014
Firstpage
3543
Lastpage
3548
Abstract
Vulnerability assessment of power system networks is becoming an essential requirement for minimizing the risk of disastrous power outage events. This paper proposes a novel centrality index which treats the power system as two complex networks: real power flow network and reactive power flow network. Two vulnerability indices (real power flow centrality index and reactive power flow centrality index) are proposed which represent the vulnerability level in two different networks. They are combined using fuzzy logic to generate the system composite centrality index. The analysis is carried out on the IEEE 14 bus system.
Keywords
fuzzy logic; load flow; power system reliability; complex network theory; disastrous power outage event; fuzzy logic; maximum flow; power system line vulnerability; power system networks; reactive power flow centrality index; reactive power flow network; real power flow centrality index; real power flow network; vulnerability assessment; vulnerability index; Complex networks; Fuzzy logic; Generators; Indexes; Mathematical model; Reactive power; Complex network (CN); Vulnerability; centrality index; fuzzy logic; maximum flow; power flow;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics Society, IECON 2014 - 40th Annual Conference of the IEEE
Type
conf
DOI
10.1109/IECON.2014.7049025
Filename
7049025
Link To Document