Operation resilience assessment of distribution networks based on voltage sag recorded data

Abstract

Voltage sags are one of the primary factors in power quality issues that lead to losses for sensitive users and reduce the operation resilience of distribution networks. However, due to the lack of accessibility in sensitive users’ production information, accurately quantifying the resilience of distribution networks under the impact of voltage sags is challenging. In this letter, first an operation resilience index using a trapezoidal curve is defined. Considering the varying tolerance levels of sensitive users to voltage sags, a feature indices system is established using the adaptive S-transform, and a sample dataset is generated through the Monte Carlo method. Finally, a mapping relationship between sag characteristics and operation resilience indices is established using the XGBoost-stacking algorithm. Simulations based on voltage sag recorded data validate the effectiveness and practicality of the proposed method. This data-physics hybrid-driven model offers a quantitative approach for developing resilience enhancement strategies.