An Accurate Second-Order Cone Approximation of Frequency Nadir Security Constraints Under Large Disturbances

Frequency nadir is one of the key indicators for power system frequency security under power disturbances. However, its inherent nonlinearity presents significant challenges in optimization. This letter proposes a new approximation of frequency nadir security constraints, which is accurate, adaptative and easily solvable for frequency-constrained optimization problems. By investigating the analytical frequency nadir expression, we find that, within the range of actual system parameters, the highly nonlinear expression can be accurately approximated by a linear expression through variable substitutions. This approximation can be used to formulate second-order cone (SOC) constraints that commercial solvers can efficiently handle. Compared to existing methods, the proposed method provides a global and accurate approximation without increasing the complexity of optimization model.

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Publication Details

Journal
IEEE Transactions on Power Systems
Published
2025-05-15
DOI
https://doi.org/10.1109/tpwrs.2025.3570142
Citations
2
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
9.99
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article

An Accurate Second-Order Cone Approximation of Frequency Nadir Security Constraints Under Large Disturbances

Yan Xu, Junkai Huang, Dunjian Xie
2 citations
IEEE Transactions on Power Systems
Radar Systems and Signal Processing
9.99
article

An Accurate Second-Order Cone Approximation of Frequency Nadir Security Constraints Under Large Disturbances

Yan Xu, Junkai Huang, Dunjian Xie
article en
2 citations

Abstract

Frequency nadir is one of the key indicators for power system frequency security under power disturbances. However, its inherent nonlinearity presents significant challenges in optimization. This letter proposes a new approximation of frequency nadir security constraints, which is accurate, adaptative and easily solvable for frequency-constrained optimization problems. By investigating the analytical frequency nadir expression, we find that, within the range of actual system parameters, the highly nonlinear expression can be accurately approximated by a linear expression through variable substitutions. This approximation can be used to formulate second-order cone (SOC) constraints that commercial solvers can efficiently handle. Compared to existing methods, the proposed method provides a global and accurate approximation without increasing the complexity of optimization model.

IEEE Transactions on Power SystemsVol. 40(5)
Nanyang Technological University (SG)
Climate action
Openalex Percentile: Top 3%
Radar Systems and Signal Processing
9.99
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