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The relevant codes of our work "Revealing Structural and Functional Vulnerability of Power Grids to Cascading Failures".

Multi-objective-attack-power-grid

The relevant codes of our work "Revealing Structural and Functional Vulnerability of Power Grids to Cascading Failures".

Requirements

  • python 3.6
  • networkx
  • numpy
  • pypower

Run the demo

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

Code Description

  • 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.

Slides

The introduction slides can be found here.

Cite

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}}