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 :
بازگشت