Distributed Interior Point Methods for Optimization in Energy Networks
Optimization and Control
2023-07-07 v1 Systems and Control
Systems and Control
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.
Cite
@article{arxiv.2307.03040,
title = {Distributed Interior Point Methods for Optimization in Energy Networks},
author = {Alexander Engelmann and Michael Kaupmann and Timm Faulwasser},
journal= {arXiv preprint arXiv:2307.03040},
year = {2023}
}