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Water and power systems are increasingly interdependent due to the growingnumber of electricity-driven water facilities. The security of one system canbe affected by a contingency in the other system. This paper investigates asecurity-constrained operation problem of the energy-water nexus (EWN), whichis a computationally challenging optimization problem due to the nonlinearity,nonconvexity, and size. We propose a two-step iterative contingency filteringmethod based on the feasibility and rating of the contingencies to decrease thesize of the problem. The optimal power and water flow are obtained in a normalsituation by considering the set of contingencies that can not be controlledwith corrective actions. The feasibility check of the contingencies isperformed in the second step, followed by a rating of the uncontrollablecontingencies. Finally, the critical contingencies are obtained and added tothe first step for the next iteration. We also employ convex technologies toreduce the computation burden. The proposed method is validated via two casestudies. Results indicate that this approach can efficiently attain optimalvalues.

Security-Constrained Optimal Operation of Energy-Water Nexus based on a Fast Contingency Filtering Method