Volt/VAR Optimization in Transmission Networks with Discrete-Control Devices

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Hauptverfasser: Tong, Shuaicheng, Boateng, Michael A., Tanneau, Mathieu, Van Hentenryck, Pascal
Format: Preprint
Veröffentlicht: 2026
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author Tong, Shuaicheng
Boateng, Michael A.
Tanneau, Mathieu
Van Hentenryck, Pascal
author_facet Tong, Shuaicheng
Boateng, Michael A.
Tanneau, Mathieu
Van Hentenryck, Pascal
contents Voltage (Volt) and reactive-power (VAR) control in transmission networks is critical for reliability and increasingly needs fast, implementable decisions. This paper presents a transmission Volt/VAR Optimization (VVO) framework that co-optimizes discrete control of on-load tap-changing transformers (OLTCs) and capacitor banks (CBs) with AC power flow (ACPF) physics to improve voltage stability and minimize VAR generation. The framework follows a relax-round-resolve pipeline: a continuous relaxation proposes targets, a rounding step selects feasible discrete settings, and a final solve enforces AC power flow physics. Extensive experiments on IEEE, PEGASE, and RTE systems show consistent improvements in voltage and VAR quality metrics with modest generator redispatch while preserving economic operation and achieving compatible runtimes with real-time transmission operations.
format Preprint
id arxiv_https___arxiv_org_abs_2601_22080
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Volt/VAR Optimization in Transmission Networks with Discrete-Control Devices
Tong, Shuaicheng
Boateng, Michael A.
Tanneau, Mathieu
Van Hentenryck, Pascal
Optimization and Control
Systems and Control
Voltage (Volt) and reactive-power (VAR) control in transmission networks is critical for reliability and increasingly needs fast, implementable decisions. This paper presents a transmission Volt/VAR Optimization (VVO) framework that co-optimizes discrete control of on-load tap-changing transformers (OLTCs) and capacitor banks (CBs) with AC power flow (ACPF) physics to improve voltage stability and minimize VAR generation. The framework follows a relax-round-resolve pipeline: a continuous relaxation proposes targets, a rounding step selects feasible discrete settings, and a final solve enforces AC power flow physics. Extensive experiments on IEEE, PEGASE, and RTE systems show consistent improvements in voltage and VAR quality metrics with modest generator redispatch while preserving economic operation and achieving compatible runtimes with real-time transmission operations.
title Volt/VAR Optimization in Transmission Networks with Discrete-Control Devices
topic Optimization and Control
Systems and Control
url https://arxiv.org/abs/2601.22080