Some Efficient Optimization Methods for Solving the Security-Constrained Optimal Power Flow Problem

By Dzung T. Phan, Jayant R. Kalagnanam. IEEE Transactions on Power Systems, 2014

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The security-constrained optimal power flow problem considers both the normal state and contingency constraints, and it is formulated as a large-scale nonconvex optimization problem. We propose a global optimization algorithm based on Lagrangian duality to solve the nonconvex problem to optimality. As usual, the global approach is often time-consuming, thus, for practical uses when dealing with a large number of contingencies, we investigate two decomposition algorithms based on Benders cut and the alternating direction method of multipliers. These decomposition schemes often generate solutions with a smaller objective function values than those generated by the conventional approach and very close to the globally optimal points.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/4b3741c2dd862853db4fc97c6ac166996717aa42