Controlling Cascading Failures in Interdependent Networks under Incomplete Knowledge.

Vulnerability due to inter-connectivity of multiple networks has been observed in many complex networks. Previous works mainly focused on robust network design and on recovery strategies after sporadic or massive failures in the case of complete knowledge of failure location.
We focus on cascading failures involving the power grid and its communication network with consequent imprecision in damage assessment.
We tackle the problem of mitigating the ongoing cascading failure and providing a recovery strategy.
We propose a failure mitigation strategy in two steps: 1) Once a cascading failure is detected, we limit further propagation by re-distributing the generator and load’s power. 2) We formulate a recovery plan to maximize the total amount of power delivered to the demand loads during the recovery intervention.
Our approach to cope with insufficient knowledge of damage locations is based on the use of a new algorithm to determine consistent failure sets (CFS). We show that, given knowledge of the system state before the disruption, the CFS algorithm can find all consistent sets of unknown failures in polynomial time provided that, each connected component of the disrupted graph has at least one line whose failure status is known to the controller.

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