TY - GEN
T1 - A graph model for enhancing situational awareness in power systems
AU - Gavgani, Mirjavad Hashemi
AU - Eftekharnejad, Sara
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/18
Y1 - 2017/10/18
N2 - As societies are becoming more dependent on the power grids, the security issues and blackout threats are more emphasized. This paper proposes a new graph model for online visualization and assessment of power grid security. The proposed model integrates topology and power flow information to estimate and visualize interdependencies between the lines in the form of line dependency graph (LDG) and immediate threats graph (ITG). These models enable the system operator to predict the impact of line outage and identify the most vulnerable and critical links in the power system. Line Vulnerability Index (LVI) and Line Criticality Index (LCI) are introduced as two indices extracted from LDG to aid the operator in decision making and contingency selection. This package can be useful in enhancing situational awareness in power grid operation by visualization and estimation of system threats. The proposed approach is tested for security analysis of IEEE 30-bus and IEEE 118-bus systems and the results are discussed.
AB - As societies are becoming more dependent on the power grids, the security issues and blackout threats are more emphasized. This paper proposes a new graph model for online visualization and assessment of power grid security. The proposed model integrates topology and power flow information to estimate and visualize interdependencies between the lines in the form of line dependency graph (LDG) and immediate threats graph (ITG). These models enable the system operator to predict the impact of line outage and identify the most vulnerable and critical links in the power system. Line Vulnerability Index (LVI) and Line Criticality Index (LCI) are introduced as two indices extracted from LDG to aid the operator in decision making and contingency selection. This package can be useful in enhancing situational awareness in power grid operation by visualization and estimation of system threats. The proposed approach is tested for security analysis of IEEE 30-bus and IEEE 118-bus systems and the results are discussed.
KW - blackout
KW - cascading outages
KW - graph model
KW - power grid security assessment
UR - http://www.scopus.com/inward/record.url?scp=85039966431&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85039966431&partnerID=8YFLogxK
U2 - 10.1109/ISAP.2017.8071427
DO - 10.1109/ISAP.2017.8071427
M3 - Conference contribution
AN - SCOPUS:85039966431
T3 - 2017 19th International Conference on Intelligent System Application to Power Systems, ISAP 2017
BT - 2017 19th International Conference on Intelligent System Application to Power Systems, ISAP 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th International Conference on Intelligent System Application to Power Systems, ISAP 2017
Y2 - 17 September 2017 through 20 September 2017
ER -