Real-Time Worst-Case Load Flow for Distribution Systems With Power Injection Uncertainties

This paper proposes a real-time solution method for a variant of the interval load flow problem. In this problem, we seek extremal bus voltages and line currents for radial power distribution systems described by the nonlinear DistFlow equations subject to uncertainties in bus power injections. We show that a single deterministic load flow run can compute all minimum bus voltages. Also, we develop a low-complexity procedure to estimate all maximum bus voltages and maximum line currents with an accuracy guarantee verifiable during actual operations. Despite the need to quantify uncertainties, our procedure requires only a few deterministic load flow runs, leading to a significant speedup over standard methods that require a loop to solve at least one optimization problem for each bus and line. Extensive benchmark case studies demonstrate the practical accuracy and efficiency performance of the proposed method. For example, we can conduct interval load flow analysis for a 10,476-bus system achieving a relative error of less than 10% in about 0.5 seconds.

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Publication Details

Journal
IEEE Transactions on Power Systems
Published
2025-08-12
DOI
https://doi.org/10.1109/tpwrs.2025.3597048
Primary Topic
Smart Grid Energy Management
Type
article
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article

Real-Time Worst-Case Load Flow for Distribution Systems With Power Injection Uncertainties

Kin Cheong Sou, Sei Zhen Khong, Henrik Sandberg
IEEE Transactions on Power Systems
Smart Grid Energy Management
article

Real-Time Worst-Case Load Flow for Distribution Systems With Power Injection Uncertainties

Kin Cheong Sou, Sei Zhen Khong, Henrik Sandberg
article en

Abstract

This paper proposes a real-time solution method for a variant of the interval load flow problem. In this problem, we seek extremal bus voltages and line currents for radial power distribution systems described by the nonlinear DistFlow equations subject to uncertainties in bus power injections. We show that a single deterministic load flow run can compute all minimum bus voltages. Also, we develop a low-complexity procedure to estimate all maximum bus voltages and maximum line currents with an accuracy guarantee verifiable during actual operations. Despite the need to quantify uncertainties, our procedure requires only a few deterministic load flow runs, leading to a significant speedup over standard methods that require a loop to solve at least one optimization problem for each bus and line. Extensive benchmark case studies demonstrate the practical accuracy and efficiency performance of the proposed method. For example, we can conduct interval load flow analysis for a 10,476-bus system achieving a relative error of less than 10% in about 0.5 seconds.

IEEE Transactions on Power SystemsVol. 41(1)
National Sun Yat-sen University (TW), KTH Royal Institute of Technology (SE)
Openalex Percentile: Top 81%
Smart Grid Energy Management
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Real-Time Worst-Case Load Flow for Distribution Systems With Power Injection Uncertainties — Kin Cheong Sou, Sei Zhen Khong, et al. · IEEE Transactions on Power Systems (2025) | TGRS Research Map | TGRS