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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.

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This paper presents a new method for ranking critical nodes in bulk power systems. The proposed approach is able to offer a list of nodes or substations, from which system planners can easily identify those facilities with more urgent investment needs. The ranking process includes both static (via optimal power flow) and dynamic (via transient stability) performance analyses to assess deterministic indices. These indices measure the static and dynamic vulnerabilities of the network. As an extension of the deterministic approach, a new ranking based on the same indices is evaluated through a Monte Carlo simulation, considering several load scenarios modeled through uncertainties and the related generating dispatches. Applications in a test system presenting the rank of critical nodes are provided and discussed.Index Terms-Adequacy and security analyses, fast transient stability assessment, load uncertainties, nodal ranking, substation criticality.

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