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Asynchronous alternating direction method of multipliers applied to the direct-current optimal power flow problem

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Abstract

In a large network of agents, we consider a distributed convex optimization problem where each agent has a private convex cost function and a set of local variables. We provide an algorithm to carry out a multi-area decentralized optimization in an asynchronous fashion, obtained by applying random Gauss-Seidel iterations on the Douglas-Rachford splitting operator. As an application, a direct-current linear optimal power flow model is implemented and simulations results confirm the convergence of the proposed algorithm.
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Dates and versions

hal-01094819 , version 1 (28-01-2015)

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Azary Abboud, Romain Couillet, Merouane Debbah, Houria Siguerdidjane. Asynchronous alternating direction method of multipliers applied to the direct-current optimal power flow problem. 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , May 2014, Florence, Italy. ⟨10.1109/ICASSP.2014.6855111⟩. ⟨hal-01094819⟩
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