Iterative McCormick Relaxation for Joint Impedance Control and Network Topology Optimization

Fuente: arXiv
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Main Authors: Park, Junseon, Park, Hyeongon, Gupta, Rahul K.
Format: Preprint
Published: 2026
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author Park, Junseon
Park, Hyeongon
Gupta, Rahul K.
author_facet Park, Junseon
Park, Hyeongon
Gupta, Rahul K.
contents Power system operators are increasingly deploying Variable Impedance Devices (VIDs), e.g., Smart Wires, and Network Topology Optimization (NTO) schemes for mitigating operational challenges such as line and transformer congestion, and voltage violations. This work aims to optimize and coordinate the operation of distributed VIDs considering fixed and optimized topologies. This problem is inherently non-linear due to power flow equations as well as bilinear terms introduced due to variable line impedance of VIDs. Furthermore, the topology optimization scheme makes it a mixed integer nonlinear problem. To tackle this, we introduce using McCormick relaxation scheme, which converts the bilinear constraints into a linear set of constraints along with the DC power flow equations. We propose an iterative correction of the McCormick relaxation to enhance its accuracy. The proposed framework is validated on standard IEEE benchmark test systems, and we present a performance comparison of the iterative McCormick method against the non-linear, SOS2 piecewise linear approximation, and original McCormick relaxation.
format Preprint
id arxiv_https___arxiv_org_abs_2602_18059
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Iterative McCormick Relaxation for Joint Impedance Control and Network Topology Optimization
Park, Junseon
Park, Hyeongon
Gupta, Rahul K.
Systems and Control
Power system operators are increasingly deploying Variable Impedance Devices (VIDs), e.g., Smart Wires, and Network Topology Optimization (NTO) schemes for mitigating operational challenges such as line and transformer congestion, and voltage violations. This work aims to optimize and coordinate the operation of distributed VIDs considering fixed and optimized topologies. This problem is inherently non-linear due to power flow equations as well as bilinear terms introduced due to variable line impedance of VIDs. Furthermore, the topology optimization scheme makes it a mixed integer nonlinear problem. To tackle this, we introduce using McCormick relaxation scheme, which converts the bilinear constraints into a linear set of constraints along with the DC power flow equations. We propose an iterative correction of the McCormick relaxation to enhance its accuracy. The proposed framework is validated on standard IEEE benchmark test systems, and we present a performance comparison of the iterative McCormick method against the non-linear, SOS2 piecewise linear approximation, and original McCormick relaxation.
title Iterative McCormick Relaxation for Joint Impedance Control and Network Topology Optimization
topic Systems and Control
url https://arxiv.org/abs/2602.18059