Carbon potential solution using bidirectional power and rank-adaptive pseudoinverse for transmission-distribution-microgrid systems

Nodal carbon potential quantifies the carbon emissions embodied in each unit of electricity at a bus. It links active-power flow, branch carbon flow, and load-side carbon responsibility. In a coordinated transmission-distribution-microgrid system, bidirectional power exchange causes the carbon intensity at the point of common coupling (PCC) to vary with operating conditions. Reverse flows and near-zero active-power-flow branches alter the effective carbon-flow paths and may render the nodal-carbon-potential equations ill-conditioned or rank deficient. This paper combines a state-dependent PCC boundary, effective propagation topology, and rank-based solution for coordinated transmission–distribution–microgrid systems. Time-series power-flow results are first used to identify the PCC exchange state and update the carbon intensity of a dynamic boundary virtual source. Branch directions are then corrected according to actual active-power flows, and near-zero-flow branches are removed to construct a directed effective carbon-flow topology. Finally, singular-value decomposition diagnoses equation degeneration and determines the effective rank, after a rank-adaptive Moore-Penrose pseudoinverse gives the nodal-carbon-potential solution. The proposed method updates the PCC carbon potential with the power-exchange state and the carbon-flow paths with actual branch flows. It also maintains numerical stability at degenerate operating points.

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Publication Details

Journal
Scientific Reports
Published
2026-10-15
DOI
https://doi.org/10.1038/s41598-026-75875-5
Primary Topic
Electric Power System Optimization
Type
article
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article

Carbon potential solution using bidirectional power and rank-adaptive pseudoinverse for transmission-distribution-microgrid systems

Qianjin Gui, Xu Wu, Xibing Hu, Jingjing Wang et al.
Scientific Reports
Electric Power System Optimization
article

Carbon potential solution using bidirectional power and rank-adaptive pseudoinverse for transmission-distribution-microgrid systems

Qianjin Gui, Xu Wu, Xibing Hu, Jingjing Wang, Erlong Zhang
article en

Abstract

Nodal carbon potential quantifies the carbon emissions embodied in each unit of electricity at a bus. It links active-power flow, branch carbon flow, and load-side carbon responsibility. In a coordinated transmission-distribution-microgrid system, bidirectional power exchange causes the carbon intensity at the point of common coupling (PCC) to vary with operating conditions. Reverse flows and near-zero active-power-flow branches alter the effective carbon-flow paths and may render the nodal-carbon-potential equations ill-conditioned or rank deficient. This paper combines a state-dependent PCC boundary, effective propagation topology, and rank-based solution for coordinated transmission–distribution–microgrid systems. Time-series power-flow results are first used to identify the PCC exchange state and update the carbon intensity of a dynamic boundary virtual source. Branch directions are then corrected according to actual active-power flows, and near-zero-flow branches are removed to construct a directed effective carbon-flow topology. Finally, singular-value decomposition diagnoses equation degeneration and determines the effective rank, after a rank-adaptive Moore-Penrose pseudoinverse gives the nodal-carbon-potential solution. The proposed method updates the PCC carbon potential with the power-exchange state and the carbon-flow paths with actual branch flows. It also maintains numerical stability at degenerate operating points.

Scientific Reports
State Grid Corporation of China (China) (CN), Shanghai Electric (China) (CN)
Industry, innovation and infrastructure, Affordable and clean energy, Climate action
Openalex Percentile: Top 23%
Electric Power System Optimization
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