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Data-driven Convex Optimal Power Flow Approximation for Uncertainty-aware Static Voltage Stability Margin Calculation

Wanbin Liu Shunjiang Lin Qifeng Li

中国电机工程学会电力与能源系统学报（英文版）2026，Vol.12Issue(4)：1778-1790,13.

中国电机工程学会电力与能源系统学报（英文版）2026，Vol.12Issue(4)：1778-1790,13.DOI:10.17775/CSEEJPES.2023.03410

Data-driven Convex Optimal Power Flow Approximation for Uncertainty-aware Static Voltage Stability Margin Calculation

Wanbin Liu ¹Shunjiang Lin ¹Qifeng Li²

作者信息

1. School of Electric Power Engineering,South China University of Technology,Guangzhou 510640,China
2. University of Central Florida,Orlando,Florida 32816-2368,United States
折叠

摘要

关键词

Convex optimal power flow approximation/improved relaxed LASSO regression/SVSM calculation/uncert-ainty-aware

Key words

Convex optimal power flow approximation/improved relaxed LASSO regression/SVSM calculation/uncert-ainty-aware

引用本文复制引用

Wanbin Liu,Shunjiang Lin,Qifeng Li..Data-driven Convex Optimal Power Flow Approximation for Uncertainty-aware Static Voltage Stability Margin Calculation[J].中国电机工程学会电力与能源系统学报（英文版）,2026,12(4):1778-1790,13.

基金项目

This work was supported by the National Natural Science Foundation of China(No.51977080),the Natural Science Foundation of Guangdong Province(No.2022A1515010332). （No.51977080）

中国电机工程学会电力与能源系统学报（英文版）

ISSN：2096-0042

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