We are pleased to announce that Prof. TAN Bendong’s recent paper, “Computationally efficient tail distribution-aware large-scale power system overloading risk assessment,” has been selected as a Featured Paper in Nature Communications and included in the journal’s Editors’ Highlights under the “Engineering and Infrastructure” section.
Nature Communications Editors’ Highlights is a prestigious platform that curates the top 50 most interesting and important recent research papers in specific research areas. This recognition reflects the journal’s high regard for the academic value and innovation of Prof. Tan’s work, and highlights its potential influence in the field of large-scale power system risk assessment.
About the Research
The uncertainties and intermittency associated with renewable generation sources, such as solar and wind, can pose significant overloading risks to power systems under N−k contingencies, potentially leading to cascading outages. Accurately quantifying these risks in independent system operator-scale power systems, which may include tens of thousands of buses, remains a grand challenge. This study proposes a computationally efficient, tail-distribution-aware approach for accurate overloading risk quantification in large-scale power systems. Specifically, this study develops a tail-adaptive multi-fidelity model that integrates generation dispatch schemes, predefined contingency scenarios, and uncertain input parameters such as photovoltaic power and load demand to quickly calculate the probability distribution of branch power flows under changes in these factors. Extensive results obtained on the realistic 21k+ bus New England power system demonstrate that the proposed method accelerates the risk assessment process by 22 times compared to the existing exact method, while maintaining high accuracy.
Congratulations to Prof. Tan and his team on this achievement!
Read the featured paper here: https://www.nature.com/articles/s41467-025-68241-y
