Identification of Critical Hidden Failure Line Based on State-failure-network

The hidden failures generally exist in power systems and could give rise to cascading failures. Identification of is challenging due very low occurrence probabilities. This paper proposes a state-failure-network (SF-net-work) method overcome the difficulty. SF-network formed by searching states guided risk estimation indices, which only contributing blackout risks are searched duplicated searches avoided. Therefore, sufficient can be obtained with acceptable computations. Based on state failure value calculations SF-network, critical component indices quantify criticalities lines. proposed superior common sampling based methods accuracy. Besides, used re-estimate after deployment measures against need shorter time comparison other re-estimation methods. IEEE 14-bus 118-bus validate method.