Using historical utility outage data to compute overall transmission grid resilience
TLDR
This work quantifies resilience in electric power transmission networks in a new and comprehensive way that can represent the multiple processes of resilience.Abstract:
Given increasing risk from climate-induced natural hazards, there is growing interest in the development of methods that can quantitatively measure resilience in power systems. This work quantifies resilience in electric power transmission networks in a new and comprehensive way that can represent the multiple processes of resilience. A novel aspect of this approach is the use of empirical data to develop the probability distributions that drive the computational model. This paper demonstrates the approach by measuring the impact of one potential improvement to a power system. Specifically, we measure the impact of additional distributed generation (DG) on power system resilience, and find that DG can substantially increase resilience.read more
Citations
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Journal ArticleDOI
Identifying Optimal Portfolios of Resilient Network Investments Against Natural Hazards, With Applications to Earthquakes
Tomas Lagos,Rodrigo Moreno,Alejandro Navarro Espinosa,Mathaios Panteli,Rafael Sacaan,Fernando Ordóñez,Hugh Rudnick,Pierluigi Mancarella +7 more
TL;DR: This work proposes a practical framework that can be used to identify network investments that offer the highest level of hedge against risks caused by natural hazards and uses a simulation to evaluate the resilience level improvements associated with the network investment propositions.
Journal ArticleDOI
A Risk-Based Approach to Assess the Operational Resilience of Transmission Grids
TL;DR: A risk-based assessment using North American Electric Reliability Corporation (NERC) Transmission Availability Data System (TADS) for the North American bulk power system (BPS) finds that the quantification of nearby unscheduled outage clusters would improve the response times for operators to readjust the system and provide better resilience still under the standard definition of N-1 security.
Journal ArticleDOI
Using Utility Outage Statistics to Quantify Improvements in Bulk Power System Resilience
TL;DR: This work extends CRISP to model energy storage, photovoltaics, and generator outages, to account for the spatial spread of cascadingOutages, and to optimize the restoration process.
Journal ArticleDOI
A model and methodology for resilience assessment of interdependent rail networks - Case study of Great Britain's rail network
TL;DR: In this paper , the authors present a rail infrastructure system-of-systems model which can be used to simulate disruptions to the network's operations and propose a performance metric based on train and passenger delay minutes.
Proceedings ArticleDOI
Can the Markovian influence graph simulate cascading resilience from historical outage data
Kai Zhou,Ian Dobson,Zhaoyu Wang +2 more
TL;DR: This work proposes using a Markovian influence graph driven by historical utility data to sample the cascades and contributes a high-level simulation of cascading line outages that is driven by standard utility data.
References
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TL;DR: A fast technique has been developed for the automatic ranking and selection of contingency cases for a power system contingency analysis study and results of this technique applied to different test systems are presented.
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Metrics and Quantification of Operational and Infrastructure Resilience in Power Systems
Mathaios Panteli,Pierluigi Mancarella,Dimitris N. Trakas,Elias Kyriakides,Nikos Hatziargyriou +4 more
TL;DR: In this article, the resilience trapezoid is defined and quantified using time-dependent resilience metrics that are specifically introduced to help capture the critical system degradation and recovery features associated to the trapezoids for different temporal phases of an event.