TY - GEN
T1 - Line outage detection in power transmission networks via message passing algorithms
AU - Chen, Jianshu
AU - Zhao, Yue
AU - Goldsmith, Andrea
AU - Poor, H. Vincent
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/4/24
Y1 - 2015/4/24
N2 - Detecting multiple simultaneous line outages in power transmission networks is known to be a challenging problem due to the number of hypotheses that grows exponentially with the network size. A low complexity message passing algorithm is proposed for multi-line outage identification, which exploits the underlying sparse structure of the network topology in power systems. First, a factor graph is established that characterizes jointly the power system and the sensor network monitoring it. For inferring line status, the mixed integer and continuous variables and the loopy structure of the factor graph make it difficult to use conventional message passing algorithms. Exploiting the power flow equations, efficient message representation and new techniques in message passing algorithms are developed. Simulation results demonstrate that the developed algorithm can effectively identify an arbitrary number of simultaneous line outages in real time.
AB - Detecting multiple simultaneous line outages in power transmission networks is known to be a challenging problem due to the number of hypotheses that grows exponentially with the network size. A low complexity message passing algorithm is proposed for multi-line outage identification, which exploits the underlying sparse structure of the network topology in power systems. First, a factor graph is established that characterizes jointly the power system and the sensor network monitoring it. For inferring line status, the mixed integer and continuous variables and the loopy structure of the factor graph make it difficult to use conventional message passing algorithms. Exploiting the power flow equations, efficient message representation and new techniques in message passing algorithms are developed. Simulation results demonstrate that the developed algorithm can effectively identify an arbitrary number of simultaneous line outages in real time.
UR - https://www.scopus.com/pages/publications/84940508781
U2 - 10.1109/ACSSC.2014.7094461
DO - 10.1109/ACSSC.2014.7094461
M3 - Conference contribution
AN - SCOPUS:84940508781
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 350
EP - 354
BT - Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2014
A2 - Matthews, Michael B.
PB - IEEE Computer Society
T2 - 48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2014
Y2 - 2 November 2014 through 5 November 2014
ER -