Improving computational performance for estimating voltage stability margin in large power systems via a penalized second-order cone programming

被引：0

作者：

Fu, Long ^{[1
]}

Li, Yaran ^{[2
]}

Wang, Wei ^{[1
]}

Liu, Tongming ^{[3
]}

Dong, Zhao Yang ^{[4
]}

Yu, Keren ^{[5
]}

机构：

[1] NARI Grp Corp, State Grid Elect Power Res Inst, Nanjing 211106, Jiangsu, Peoples R China

[2] State Grid Jiangsu Elect Power Res Inst, Nanjing 211103, Jiangsu, Peoples R China

[3] Global Energy Interconnect Dev & Cooperat Org, Beijing 100031, Peoples R China

[4] City Univ Hong Kong, Dept Elect Engn, Hksar 999077, Peoples R China

[5] ESG Future Fdn, Melbourne, Vic 3000, Australia

来源：

SUSTAINABLE ENERGY GRIDS & NETWORKS | 2025年 / 42卷

关键词：

Maximum loading level; Static voltage stability; Optimal power flow; Conic relaxation; Approximation; FLOW MODEL RELAXATIONS;

D O I：

10.1016/j.segan.2025.101621

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Precisely estimating voltage stability margin (VSM) in large power systems is challenging due to problem size and complexity. In this paper, a penalized second-order cone programming (SOCP) for estimating VSM is proposed based on a phase angle approximation and sufficient cycle condition which are effective in tightening angle relaxations whilst avoiding increased computational burden. An appropriate trade-off between accuracy and efficiency can be achieved by the proposed SOCP which improves the computational performance for estimating VSM in large power systems.

引用

页数：6

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