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A Comparative Analysis of Dynamic vs. Quasi-static Approaches for Resilience Assessment of a Bulk Power System Against Severe Wind Events

par Faghihi, Farshid ;Henneaux, Pierre ;Labeau, Pierre-Etienne ;Panteli, Mathaios
Référence ESREL2021, Proceedings of the 31st European Safety and Reliability Conference, ResearchPublishing,Singapore, page (3442-3449)
Publication Publié, 2021

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Résumé :

Severe weather-related events are one of the main causes of large-scale electric power outages worldwide. Although the probability of occurrence of these events is low, they are considered into the high-risk category due to their significant consequences. The intensity and frequency of these events have gradually increased in the last decades and are expected to keep increasing in the future due to climate change. To this end, power grid resilience is critical to reduce the risk and vulnerability to these events. In the context of resilience assessment, an important step is the simulation of the performance of power systems during these highly impactful events, which can be performed either by quasi-static or dynamic approaches. In this work, both approaches are applied for the assessment of the resilience of a bulk power system against severe wind events, and a comparative analysis of the results is provided. The main advantage of using dynamic simulation is to detect the outages of the system assets related to electrical instability during the events. Eurostag software is used to perform the dynamic simulation with a variable time step to increase the efficiency of the computational module. The results show that the analysis of the resilience of power system by a quasi-static approach leads to a considerable underestimation of the resilience metrics, mainly related to ignoring the intervention of protection systems during severe wind events.