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Physics-Informed Graph Learning Acceleration for Large-Scale AC-OPF with Topology Changes
arXiv:2606.05772v1 Announce Type: new Abstract: In power systems, alternating current optimal power flow (AC-OPF) has been a challenging problem for decades due to its nonconvexity, but fast and efficient solutions are even more needed because of high penetration of large scale renewable generation and load growth. Recently, neural networks (NN) have gained attention in solving AC-OPF, but it is still in an early stage to be applicable for real and large-scale power system operation with...
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Article URL: https://hannesweissteiner.com/pdfs/frost.pdf Comments URL: https://news.ycombinator.com/item?id=48345822 Points: 5 # Comments: 1
Not All Warm Starts Help: Benchmarking Primal-Dual Initializations for ACOPF Algorithms
arXiv:2606.08984v1 Announce Type: cross Abstract: Warm starts are widely used to accelerate AC optimal power flow (ACOPF) solves, but the impact of different initialization strategies has received limited systematic study, particularly for the primal-dual interior-point methods that dominate large-scale ACOPF algorithms. This paper benchmarks initialization strategies for ACOPF solved with the interior-point solver IPOPT on 19 PGLib-OPF instances (5 to 30,000 buses), testing all 15 non-empty...
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Advanced simulation framework for AC/MTDC power systems
arXiv:2606.09406v1 Announce Type: new Abstract: Alternating current (AC)/multi-terminal direct current (MTDC) hybrid power systems (HPSs) play a crucial role in enabling long-distance power transmission and flexible interconnections between AC grids. However, the challenges that HPSs encountered are numerous, with stability and harmonic issues being particularly prominent.
Learning to Optimize by Differentiable Programming
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