Dynamic Modeling of Cascading Failure in Power Systems


The modeling of cascading failure in power systems is difficult as a result of of the various totally different mechanisms involved; no single model captures all of these mechanisms. Understanding the relative importance of these completely different mechanisms is very important for selecting that mechanisms would like to be modeled for specific applications. This work presents a dynamic simulation model of both power networks and protection systems, which can simulate a wider selection of cascading outage mechanisms relative to existing quasi-steady-state (QSS) models. This paper describes the model and demonstrates how totally different mechanisms interact. So as to check the model, we tend to simulated a batch of randomly selected contingencies for many different static load configurations, and found that the distributions of blackout sizes and event lengths from the simulator correlate well with historical trends. The results conjointly show that load models have vital impacts on the cascading risks. Finally, the dynamic model was compared against a simple dc-power-flow based QSS model; we have a tendency to notice that the two models tend to agree for the first stages of cascading however produce substantially totally different results for later stages.

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