Abstract
Historical electrical disturbances highlight the impact of extreme weather on power system resilience. Even though the occurrence of such events is rare, the severity of their potential impact calls for 1) developing suitable resilience assessment techniques to capture their impacts and 2) assessing relevant strategies to mitigate them. This paper aims to provide fundamentals insights on the modeling and quantification of power systems resilience. Specifically, a fragility model of individual components and then of the whole transmission system is built for mapping the real-time impact of severe weather, with focus on wind events, on their failure probabilities. A probabilistic multitemporal and multiregional resilience assessment methodology, based on optimal power flow and sequential Monte Carlo simulation, is then introduced, allowing the assessment of the spatiotemporal impact of a windstorm moving across a transmission network. Different risk-based resilience enhancement (or adaptation) measures are evaluated, which are driven by the resilience achievement worth index of the individual transmission components. The methodology is demonstrated using a test version of the Great Britain's system. As key outputs, the results demonstrate how, by using a mix of infrastructure and operational indices, it is possible to effectively quantify system resilience to extreme weather, identify and prioritize critical network sections, whose criticality depends on the weather intensity, and assess the technical benefits of different adaptation measures to enhance resilience.
Highlights
EXTREME weather conditions, as high-impact lowprobability (HILP) events, may affect significantly the operational resilience of a power system
A probabilistic multi-temporal and multi-regional resilience assessment methodology, based on optimal power flow and sequential Monte Carlo simulation, is introduced, allowing the assessment of the spatiotemporal impact of a windstorm moving across a transmission network
The results demonstrate how, by using a mix of infrastructure and operational indices, it is possible to effectively quantify system resilience to extreme weather, identify and prioritize critical network sections, whose criticality depends on the weather intensity, and assess the technical benefits of different adaptation measures to enhance resilience
Summary
EXTREME weather conditions, as high-impact lowprobability (HILP) events, may affect significantly the operational resilience of a power system. Summarizing, the key contributions of this work are: - the development of structural fragility curves for transmission elements by civil engineers and their effective integration into an advanced power system model in collaboration with electrical power engineers, effectively developing a system resilience model that accounts for both infrastructure and operational aspects; - a SMCS-based simulation engine for assessing the timevarying and space-varying impact of extreme weather on power systems resilience using fragility curves and multitemporal optimal power flow; - a introduced mix of operational and infrastructure indices, based on consolidated and simple to interpret reliability indices, aimed at getting a more complete picture of the resilience degradation due to the extreme event for increasing intensities (i.e., increasing maximum wind speeds); - a general technique for the identification of resiliencecritical components and the prioritization of relevant, specific interventions; - the demonstration that this criticality is dependent on the weather intensity and that the adaptation planning and reinforcement strategies need to be flexible; and - the impact evaluation of different resilience enhancement strategies in line with key resilience features. This includes the fragility modelling of individual towers and lines and the assessment of resilience to severe windstorms
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
