Load-Flow in Multiphase Distribution Networks: Existence, Uniqueness, Non-Singularity and Linear Models
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Abstract (arXiv)
This paper considers unbalanced multiphase distribution systems with generic topology and different load models, and extends the Z-bus iterative load-flow algorithm based on a fixed-point interpretation of the AC load-flow equations. Explicit conditions for existence and uniqueness of load-flow solutions are presented. These conditions also guarantee convergence of the load-flow algorithm to the unique solution. The proposed methodology is applicable to generic systems featuring (i) wye connections; (ii) ungrounded delta connections; (iii) a combination of wye-connected and delta-connected sources/loads; and, (iv) a combination of line-to-line and line-to-grounded-neutral devices at the secondary of distribution transformers. Further, a sufficient condition for the non-singularity of the load-flow Jacobian is proposed. Finally, linear load-flow models are derived, and their approximation accuracy is analyzed. Theoretical results are corroborated through experiments on IEEE test feeders.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Feb 2017.
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Citing papers per year: 2021: 3; 2022: 0; 2023: 0; 2024: 0; 2025: 0; 2026: 2.
5 papers.
- 2021Risk-Aware Learning for Scalable Voltage Optimization in Distribution Gridscited by 5
- 2021Enhancing the Spatio-temporal Observability of Grid-Edge Resources in Distribution Gridscited by 1
- 2021Data-driven Modeling for Distribution Grids Under Partial Observabilitycited by 0
- 2026BOOST-RPF: Boosted Sequential Trees for Radial Power Flowcited by 0
- 2026Scalable Self-Supervised Learning for Multiphase AC-OPF in Distribution Systems with Topology Reconfigurationcited by 0
- 2026Scalable Self-Supervised Learning for Multiphase AC-OPF in Distribution Systems with Topology Reconfiguration25 Aug 2026
- 2026BOOST-RPF: Boosted Sequential Trees for Radial Power Flow23 Mar 2026
- 2021Risk-Aware Learning for Scalable Voltage Optimization in Distribution Grids4 Oct 2021
- 2021Data-driven Modeling for Distribution Grids Under Partial Observability18 Aug 2021
- 2021Enhancing the Spatio-temporal Observability of Grid-Edge Resources in Distribution Grids15 Feb 2021