A Risk-Based Approach to Assess the Operational Resilience of Transmission Grids

Modern risk analysis studies of the power system increasingly rely on big datasets, either synthesized, simulated, or real utility data. Particularly in the transmission system, outage events have a strong influence on the reliability, resilience, and security of the overall energy delivery infrastructure. In this paper we analyze historical outage data for transmission system components and discuss the implications of nearby overlapping outages with respect to resilience of the power system. We carry out a risk-based assessment using North American Electric Reliability Corporation (NERC) Transmission Availability Data System (TADS) for the North American bulk power system (BPS). We found 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. Finally, we propose future steps to investigate the relationship between clusters of outages and their electrical proximity, in order to improve operator actions in the operation horizon

Benchmarking and Validation of Cascading Failure Analysis Tools

Cascading failure in electric power systems is a complicated problem for which a variety of models, software tools, and analytical tools have been proposed but are difficult to verify. Benchmarking and validation are necessary to understand how closely a particular modeling method corresponds to reality, what engineering conclusions may be drawn from a particular tool, and what improvements need to be made to the tool in order to reach valid conclusions. The community needs to develop the test cases tailored to cascading that are central to practical benchmarking and validation. In this paper, the IEEE PES working group on cascading failure reviews and synthesizes how benchmarking and validation can be done for cascading failure analysis, summarizes and reviews the cascading test cases that are available to the international community, and makes recommendations for improving the state of the art.This article is published as Bialek, Janusz, Emanuele Ciapessoni, Diego Cirio, Eduardo Cotilla-Sanchez, Chris Dent, Ian Dobson, Pierre Henneaux et al. "Benchmarking and validation of cascading failure analysis tools." IEEE Transactions on Power Systems 31, no. 6 (2016): 4887-4900. 10.1109/TPWRS.2016.2518660. Posted with permission.</p

Atelier sur les politiques de gestion de l'information dans les institutions de recherche agricole des pays d'Afrique : Bamako (Mali), 16-20 septembre 1996. 2, Annexes

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Benchmarking Quasi-Steady State Cascading Outage Analysis Methodologies

Various methodologies exist for assessing the risk of cascading outage in power systems, differing in the cascading mechanisms considered and in the way they are modeled. These methodologies can be classified in three groups: static computation (QSS methodologies), dynamic computation (dynamic methodologies), or a combination of both (hybrid methodologies). The objective of this paper is to benchmark the performance of several widely used QSS cascading outage methodologies. For that purpose, they are applied on a unique system, the RTS- 96, and the results are compared. Several metrics and indicators are used for that comparison: expected demand loss, distribution of demand loss, distribution of lines outaged and critical lines. Results show common trends but also discrepancies between methodologies. It implies that there is not yet a standardized way to analyze the risk of cascading outage in power systems, and that the specific tool used by a power system engineer can impact the recommendations.This is a manuscript of an article published as Ciapessoni, Emanuele, Diego Cirio, Eduardo Cotilla-Sanchez, Ruisheng Diao, Ian Dobson, Anish Gaikwad, Pierre Henneaux et al. "Benchmarking Quasi-Steady State Cascading Outage Analysis Methodologies." (2018).</p