Solving three-phase distribution OPF with nonlinear programming

Three-phase optimal power flow (OPF) is a foundational mathematical optimization problem for power advanced distribution network management. In this work we study the application of nonlinear programming algorithms to a variety of state-of-the-art mathematical optimisation models for distribution OPF with 3 × 3 impedances on a library of 128 LV networks. We study numerical performance in terms of wall clock time as well as robustness. Specifically, we study a variety of voltage angle constraints, bounds and initialisation strategies that influence the performance significantly. Contrary to what has been observed for transmission networks, the power-voltage (polar) formulation is not necessarily the best formulation, and current-voltage is generally very competitive. We observe that power bases for per unit conversion need to be chosen small enough ( ≤ 1000 kW) to avoid inaccuracies. Numerical studies are performed for a set of 128 LV networks, using Ipopt and KNITRO.

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Publication Details

Journal
Electric Power Systems Research
Published
2026-06-30
DOI
https://doi.org/10.1016/j.epsr.2026.113624
Primary Topic
Advanced Optimization Algorithms Research
Type
article
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article

Solving three-phase distribution OPF with nonlinear programming

Frederik Geth, François Pacaud, Rahmat Heidari
Electric Power Systems Research
Advanced Optimization Algorithms Research
article

Solving three-phase distribution OPF with nonlinear programming

Frederik Geth, François Pacaud, Rahmat Heidari
article en

Abstract

Three-phase optimal power flow (OPF) is a foundational mathematical optimization problem for power advanced distribution network management. In this work we study the application of nonlinear programming algorithms to a variety of state-of-the-art mathematical optimisation models for distribution OPF with 3 × 3 impedances on a library of 128 LV networks. We study numerical performance in terms of wall clock time as well as robustness. Specifically, we study a variety of voltage angle constraints, bounds and initialisation strategies that influence the performance significantly. Contrary to what has been observed for transmission networks, the power-voltage (polar) formulation is not necessarily the best formulation, and current-voltage is generally very competitive. We observe that power bases for per unit conversion need to be chosen small enough ( ≤ 1000 kW) to avoid inaccuracies. Numerical studies are performed for a set of 128 LV networks, using Ipopt and KNITRO.

Electric Power Systems ResearchVol. 262
Queensland University of Technology (AU), The University of Queensland (AU), École Nationale Supérieure des Mines de Paris (FR)
Openalex Percentile: Top 6%
Advanced Optimization Algorithms Research
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