Definition of Contingency Criticality Based on Violation Probability of Voltage Security Margin Considering Correlated Uncertainties in System Loads and Wind Power Generation

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Authors: Gon鏰lves dos Santos Gustavo, Rosa Nascimento Matheus, João Pedro Peters Barbosa, Camila Oliveira Maiara, Pionkoski Grilo Pavani Ahda, Andrade Ramos Rodrigo
Cited by: 4

Abstract

The massive integration of intermittent renewable generation and the increasing variability of demand raise concerns about the high level of uncertainty in the security assessment of power systems. In this context, the main contribution of this study is the proposal of a new definition of contingency criticality, which takes into account the violation probability of the voltage security margin (VSM) while considering correlated uncertainties in both system loads and wind power generation. From this new definition, a contingency ranking can be derived and used to determine preventive control actions. To calculate this probability for each contingency, a new approach based on the cross-entropy (CE) method is developed and applied. The CE method is well-suited to handle high levels of uncertainty, as it typically provides faster and more accurate results compared to Monte Carlo simulation, particularly for cases with low violation probabilities of the VSM. Another innovative feature of this approach is the consideration of correlated uncertainties through the use of multivariate normal distributions and Gaussian copulas. Furthermore, the proposed definition is implemented using a formulation that is capable of detecting either saddle-node or limit-induced bifurcations to accurately identify the maximum loadability point. A proof of concept is presented for a comprehensive explanation of the proposed definition, followed by an application of this definition to the IEEE 118-bus test system. The findings of this paper highlight the need to carefully select critical contingencies for voltage security assessment in the context of increasing uncertainties.

Fields of Study & Subjects

Power System Optimization and Stability Power System Reliability and Maintenance Optimal Power Flow Distribution

Publication details

Journal / source
Journal of Modern Power Systems and Clean Energy
Publisher
Journal of Modern Power Systems and Clean Energy
Volume
14
Issue
1
Pages
121–131
Publication date
1 January 2026
Language
EN