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| Step number | Step name | Main operation |
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| 0 | Initialization | Compute the initial load and capacity of all stations in the PTN (see the detailed introduction in the Table 3, station initial load definition, and station capacity definition) |
| 1 | Trigger the cascading failures | The cascading failures are triggered by attacking a single station that has a certain characteristic (see the detailed introduction in the Table 3, attack strategy). |
| 2 | Search adjacent stations of the attacked station | There are some edges between the attacked station and its adjacent stations. These edges will be used to transit the redistribution loads from the attacked station. |
| 3 | Redistribute the load | The redistribution loads from the attacked station are redistributed to the adjacent stations according to certain rule (see the detailed introduction in the Table 3, rule of failure load dynamic redistribution). |
| 4 | Compare and estimate the station state | Compare updated station load with station capacity (this operation is conducted to all receiver stations of redistribution loads), if the updated station load is larger than the station capacity, the station will be failed (failure state, see the detailed introduction in the Table 3, station state). Then, go on to carry on the step 2 and step3 successively. Furthermore, carry on this process repeatedly, until no stations occur cascading failures any more, and at this moment, the whole process of cascading failures ends. |
| 5 | Compute the resilience measurement indicators | Compute various resilience measurement indicators before and after cascading failures occurring. In particular, if resilience measurement indicator is a local indicator or an indicator measuring each time step, this resilience measurement indicator should be computed in every time step (a typical example can be seen in the work of Zhang et al.[32]). |
| 6 | Change the value of the control parameters of cascading failures based dynamic resilience model | The cascading failures based dynamic resilience model of single layered PTN has various control parameters for better controlling the model to be more realistic. Thus, change the value of various control parameters and repeat the steps above, so that a more complete and comprehensive numerical simulation analysis is conducted (a typical example can be seen in the work of Zhang et al.[69]). |
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