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arXiv · 2307.03040

Distributed Interior Point Methods for Optimization in Energy Networks

Alexander Engelmann·Michael Kaupmann·Timm Faulwasser
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Abstract

This note discusses an essentially decentralized interior point method, which is well suited for optimization problems arising in energy networks. Advantages of the proposed method are guaranteed and fast local convergence also for problems with non-convex constraints. Moreover, our method exhibits a small communication footprint and it achieves a comparably high solution accuracy with a limited number of iterations, whereby the local subproblems are of low computational complexity. We illustrate the performance of the proposed method on a problem from energy systems, i.e., we consider an optimal power flow problem with 708 buses.

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Alexander Engelmann, Michael Kaupmann, Timm Faulwasser. 2023-07-06. Distributed Interior Point Methods for Optimization in Energy Networks. https://doi.org/10.15495/epub_ubt_00006809

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