A Decoupled Approach for Modeling N-k Interdiction with Induced Failures in Electric Power Grids
Abstract
The electric power grid is a critical infrastructure system subject to
different types of failures which can have devastating impacts on society. One
framework to study the resilience of the grid is the N-k interdiction model,
which introduces an attacker and defender model to identify grid
vulnerabilities. However, traditional N-k interdiction models characterize the
power grid with steady-state assumptions. One key aspect missing from this
analysis is the behavior of the grid as it evolves from the pre-failure grid
state and post-failure grid state. During such a transition period, automated
protection systems, transient instabilities, and other phenomena can trigger
cascading failures that can occur before grid operators can respond. To bridge
this gap, this paper first introduces the generalized induced failure N-k
(N-k.k’) problem, where an initial set of k failures induces an additional set
of k’ failures. In this context, we propose a disjoint optimization approach
that decouples the computation of cascading failures from the interdiction
model. This system response model, furthermore, is treated as a black box
module without compromising the underlying performance guarantees of the
interdiction model. Extensive experiments on several benchmark power grid case
studies showcase the efficacy and scalability of the approach.
Funding
NSF-JST SHIELD
NSF SWADE