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This note discusses an essentially decentralized interior point method, whichis well suited for optimization problems arising in energy networks. Advantagesof the proposed method are guaranteed and fast local convergence also forproblems with non-convex constraints. Moreover, our method exhibits a smallcommunication footprint and it achieves a comparably high solution accuracywith a limited number of iterations, whereby the local subproblems are of lowcomputational complexity. We illustrate the performance of the proposed methodon a problem from energy systems, i.e., we consider an optimal power flowproblem with 708 buses.

Distributed Interior Point Methods for Optimization in Energy Networks