Studying Power Loss Minimization in Active Distribution Systems Using PMD

This study investigates the minimization of power losses in active distribution systems through the integration of Distributed Energy Resources (DERs) into a modified 20-node section of the IEEE 123-node test feeder. Using the Distribution Optimal Power Flow (D-OPF) framework, implemented in Julia using the PowerModelsDistribution (PMD) package and the IPOPT solver, the analysis incorporates 5 photovoltaic distributed generators (DGs), spanning both single-phase and three-phase systems. The framework optimizes active and reac-tive power flows while ensuring voltage stability. Comparative results demonstrated that the proposed framework effectively reduces power losses, balances PV generation, and maintains voltage profiles within permissible limits. The approach was validated through a strong alignment with results from a previous study, with minor deviations attributed to differences in tool methodologies. This study underscores the potential of advanced optimization frameworks to enhance the efficiency and per-formance of power distribution networks, paving the way for the future integration of larger-scale DERs and more complex systems.

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Publication Details

Published
2025-02-10
DOI
https://doi.org/10.1109/tpec63981.2025.10906782
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Studying Power Loss Minimization in Active Distribution Systems Using PMD

Karen L. Butler-Purry, Arthur K. Barnes, Harsha Nagarajan, Russell Bent et al.
Smart Grid Energy Management
article

Studying Power Loss Minimization in Active Distribution Systems Using PMD

Karen L. Butler-Purry, Arthur K. Barnes, Harsha Nagarajan, Russell Bent, Irfan Ullah
article en

Abstract

This study investigates the minimization of power losses in active distribution systems through the integration of Distributed Energy Resources (DERs) into a modified 20-node section of the IEEE 123-node test feeder. Using the Distribution Optimal Power Flow (D-OPF) framework, implemented in Julia using the PowerModelsDistribution (PMD) package and the IPOPT solver, the analysis incorporates 5 photovoltaic distributed generators (DGs), spanning both single-phase and three-phase systems. The framework optimizes active and reac-tive power flows while ensuring voltage stability. Comparative results demonstrated that the proposed framework effectively reduces power losses, balances PV generation, and maintains voltage profiles within permissible limits. The approach was validated through a strong alignment with results from a previous study, with minor deviations attributed to differences in tool methodologies. This study underscores the potential of advanced optimization frameworks to enhance the efficiency and per-formance of power distribution networks, paving the way for the future integration of larger-scale DERs and more complex systems.

Los Alamos National Laboratory (US), Texas A&M University (US)
U.S. Department of Energy
Affordable and clean energy
Openalex Percentile: Top 97%
Smart Grid Energy Management
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