Corrective Security-Constrained Optimal Power and Gas Flow With Binding Contingency Identification

Increasing interdependency between electric power and gas systems results in tremendous operational challenges. This paper proposes an N-1 security-constrained optimal power and gas flow (SCOPGF) framework that includes contingencies in both energy systems. A bi-directional gas flow model is employed to provide more flexibility for addressing gas system contingencies. We further propose an iterative algorithm to identify binding contingency subsets, which contributes toward ensuring a tractable SCOPGF model. Numerical results on two test systems verify the computational advantages of the proposed SCOPGF model employing a reduced binding contingency subset. The necessity of adopting a bi-direction gas flow model under post-contingency conditions is also discussed.