Exploiting Symmetry in the Power Flow Equations Using Monodromy
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Abstract (arXiv)
We propose solving the power flow equations using monodromy. We prove the variety under consideration decomposes into trivial and nontrivial subvarieties and that the nontrivial subvariety is irreducible. We also show various symmetries in the solutions. We finish by giving numerical results comparing monodromy against polyhedral and total degree homotopy methods and giving an example of a network where we can find all solutions to the power flow equation using monodromy where other homotopy techniques fail. This work gives hope that finding all solutions to the power flow equations for networks of realistic size is possible.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 30 Nov 2020.
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- 2026Reinforcement Learning for Power-Flow Network Analysiscited by 0
- 2026Reinforcement Learning for Power-Flow Network Analysis5 Mar 2026