Influence graphs are developed to model how failures propagate on power grids. Influence graphs represent the network based on the effects one part of the network has on other parts, not through physical connections. Connections in the influence graph are determined by the tendency for the failure of one piece of equipment to be followed by the failure of another. This approach allows failures to propagate through the influence graph more consistently with our expectations, indicating that existing topological models may not effectively predict or explain failures on the power grid.
We’ve spoken previously on the show about the complexity of the power grid. Today we’re focusing on how it fails, in the form of blackouts, and we're joined again by Seth Blumsack. He'll discuss why blackouts are so difficult to understand, and whether or not it's possible to model them.
Seth is a Professor of Energy Policy and Economics and International Affairs in the Department of Energy and Mineral Engineering at Pennsylvania State University, co-director of Penn State Center for Energy Law and Policy, and External Faculty at the Santa Fe Institute.
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