The relevant codes of our work "Revealing Structural and Functional Vulnerability of Power Grids to Cascading Failures".
- python 3.6
- networkx
- numpy
- pypower
For NSGA-PG attack:
python nsga2.py
For NSGA-PG_{CN} attack:
python nsga2_fresh_acc.py
For LDV attack:
python LDV_attack.py
For reduce search space attack and risk-graph attack:
python risk_graph.py
- Attack.py: implements the normal attack of a given attack list.
- Graph.py: implements the basic functions of power grids.
- individual.py: defines the individuals in evolution algorithms.
- LDV_attack.py: implements the LDV attack method.
- nsga2.py: implements the NSGA-PG attack method.
- nsga2_fresh_acc.py: implements the NSGA-PG_{CN} attack method.
- Power_Failure.py: implements the cascading failure process of power grids.
- RG.py: implements the relevant functions of risk-graph attack methods.
- risk_graph.py: implements the risk-graph method.
- sinobject_ga.py: implements the single-objective genetic algorithm.
The introduction slides can be found here.
For the details, you can take a look at the paper.
If you find this work is helpful, please cite our paper. Thank you.
@ARTICLE{9235529,
author={J. {Fang} and J. {Wu} and Z. {Zheng} and C. K. {Tse}},
journal={IEEE Journal on Emerging and Selected Topics in Circuits and Systems},
title={Revealing Structural and Functional Vulnerability of Power Grids to Cascading Failures},
year={2021},
volume={11},
number={1},
pages={133-143},
doi={10.1109/JETCAS.2020.3033066}}