Probabilistic Static Voltage Stability Assessment of Power Systems with Different Sampling Methods

Probabilistic static voltage stability assessment is important for analyzing the operation stability of power systems with increasingly complex operating environment and various uncertain factors. This paper analyses the influence of random factors on voltage stability based on probabilistic power flow, and compares Simple Random Sampling (SRS), Latin Hypercube Sampling (LHS) and Sobol Sequence in different sampling efficiency. Through simulation analysis with IEEE 118-bus system, the probability density curves and cumulative probability distribution curves of voltage stability critical point and probability index for stable operation of power system are analyzed, and the accuracy and efficiency of different sampling methods are compared.

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Published
2025-04-07
DOI
https://doi.org/10.1109/icpies65420.2025.11070178
Primary Topic
Probabilistic and Robust Engineering Design
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article
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article

Probabilistic Static Voltage Stability Assessment of Power Systems with Different Sampling Methods

Lei Zhang, Zhaohui Shi, Yanbo Jia
Probabilistic and Robust Engineering Design
article

Probabilistic Static Voltage Stability Assessment of Power Systems with Different Sampling Methods

Lei Zhang, Zhaohui Shi, Yanbo Jia
article en

Abstract

Probabilistic static voltage stability assessment is important for analyzing the operation stability of power systems with increasingly complex operating environment and various uncertain factors. This paper analyses the influence of random factors on voltage stability based on probabilistic power flow, and compares Simple Random Sampling (SRS), Latin Hypercube Sampling (LHS) and Sobol Sequence in different sampling efficiency. Through simulation analysis with IEEE 118-bus system, the probability density curves and cumulative probability distribution curves of voltage stability critical point and probability index for stable operation of power system are analyzed, and the accuracy and efficiency of different sampling methods are compared.

State Grid Corporation of China (China) (CN), Powerchina Huadong Engineering Corporation (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 83%
Probabilistic and Robust Engineering Design
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