Journal
IEEE TRANSACTIONS ON POWER SYSTEMS
Volume 32, Issue 4, Pages 2953-2965Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2016.2628877
Keywords
Interdependence; natural gas system; nested column-and-constraint generation (C&CG); power system; trilevel optimization; vulnerability
Categories
Funding
- National Natural Science Foundation of China [51321005]
- U.S. Department of Energy (DOE)'s Office of Electricity Delivery and Energy Reliability
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This paper proposes a methodology to identify and protect vulnerable components of connected gas and electric infrastructures from malicious attacks, and to guarantee a resilient operation by deploying valid corrective actions, while accounting for the interdependence of the gas pipeline network and power transmission network. The proposed mathematical formulation gives rise to to a trilevel optimization problem, where the lower level is a multiperiod economic dispatch of the gas-electric system and seeks operating strategies under available resources and given attack, the middle level distinguishes the most threatening attack on the coupled physical infrastructures, and the upper level provides optimal preventive decisions to reinforce the vulnerable components and increase the system resilience. By reformulating the lower level problem as a mixed integer linear programming, a nested column-and-constraint generation algorithm is developed to solve the min-max-min model. Case studies on two test systems demonstrate the effectiveness and efficiency of the proposed methodology.
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