Short-term voltage stability analysis in power systems: A voltage solvability indicator

• A Voltage Solvability Indicator (VSI) has been proposed for short-term voltage stability studies. • VSI can be used to characterize the singular surface of power system DAE model, and to accurately describe the Voltage Instability Regions (VIRs) • VSI not only facilitates theoretical analysis, thereby elucidating the mechanisms of voltage collapse, but also finds practical applications in large-scale power systems. • Both theoretical analysis and case studies consistently suggest that as the penetration of constant power injections increases, power systems become more vulnerable to voltage collapse. • For large-scale power systems, the sparse computational method proposed in this study can save significant amount of time in computing VSI. This paper presents an analytical study for short-term voltage stability based on a novel indicator. First, it is shown that the reduced Jacobian matrix of network equations can be transformed to obtain an approximately symmetric matrix which is usually positive definite when the system under study is stable. The minimum eigenvalue of the matrix is suggested as a short-term Voltage Solvability Indicator ( VSI ). Then, properties of the reduced conductive matrix and susceptance matrix which have significant impacts on VSI are examined. The focus of the study is power systems with multiple constant power injections, while VSI can also be applied to analyze the impact of generic power system models. It is shown that as the penetration level of constant power injections increases, VSI decreases and the system becomes more vulnerable to voltage collapse. Finally, the relationship between the eigenvalues of the reduced Jacobian matrix and the structure-preserving Jacobian matrix is established. As a result, the suggested VSI can be efficiently computed by exploring the sparsity of structure-preserving Jacobian matrix of network equations. Case studies of several test systems including a simplified 575-machine 8117-bus East China power system are reported, demonstrating the effectiveness and practicability of the proposed method.

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Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2024-08-20
DOI
https://doi.org/10.1016/j.ijepes.2024.110185
Citations
9
Primary Topic
Power System Optimization and Stability
Type
article
Field-Weighted Citation Impact
1.88

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article

Short-term voltage stability analysis in power systems: A voltage solvability indicator

Minquan Chen, Yifan Yao, Deqiang Gan, Wenqing Hao et al.
9 citations
International Journal of Electrical Power & Energy Systems
Power System Optimization and Stability
1.88
article

Short-term voltage stability analysis in power systems: A voltage solvability indicator

Minquan Chen, Yifan Yao, Deqiang Gan, Wenqing Hao, Xueyi Wang
article en
9 citations

Abstract

• A Voltage Solvability Indicator (VSI) has been proposed for short-term voltage stability studies. • VSI can be used to characterize the singular surface of power system DAE model, and to accurately describe the Voltage Instability Regions (VIRs) • VSI not only facilitates theoretical analysis, thereby elucidating the mechanisms of voltage collapse, but also finds practical applications in large-scale power systems. • Both theoretical analysis and case studies consistently suggest that as the penetration of constant power injections increases, power systems become more vulnerable to voltage collapse. • For large-scale power systems, the sparse computational method proposed in this study can save significant amount of time in computing VSI. This paper presents an analytical study for short-term voltage stability based on a novel indicator. First, it is shown that the reduced Jacobian matrix of network equations can be transformed to obtain an approximately symmetric matrix which is usually positive definite when the system under study is stable. The minimum eigenvalue of the matrix is suggested as a short-term Voltage Solvability Indicator ( VSI ). Then, properties of the reduced conductive matrix and susceptance matrix which have significant impacts on VSI are examined. The focus of the study is power systems with multiple constant power injections, while VSI can also be applied to analyze the impact of generic power system models. It is shown that as the penetration level of constant power injections increases, VSI decreases and the system becomes more vulnerable to voltage collapse. Finally, the relationship between the eigenvalues of the reduced Jacobian matrix and the structure-preserving Jacobian matrix is established. As a result, the suggested VSI can be efficiently computed by exploring the sparsity of structure-preserving Jacobian matrix of network equations. Case studies of several test systems including a simplified 575-machine 8117-bus East China power system are reported, demonstrating the effectiveness and practicability of the proposed method.

International Journal of Electrical Power & Energy SystemsVol. 161
Zhejiang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 14%
Power System Optimization and Stability
1.88
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