Skip to main content

Optimal Defense Resource Allocation and Geographically Feasible Hexagonal Topology Construction for Power Grid Security

  • Conference paper
  • First Online:
Recent Advances in Sustainable Energy and Intelligent Systems (LSMS 2021, ICSEE 2021)

Abstract

Power system faces thousands of physical and cyber attacks which seriously threaten its security. It is noted that most defense methods are only suitable for specific cyber attacks and are not applicable to physical attacks. This paper provides a generic method regardless of different attack types through topological efforts to reduce potential loss of the power grid. In this paper, a proportional loss model is proposed depending on the different attack-defense resource allocations. The optimal allocation strategy can be converted into the solution to a \(\min \max \) problem. In order to further improve the security of the power grid, by taking the geographical feasibility into consideration, a hexagonal construction method is proposed to provide a cost-affordable and geographically-feasible solution for new power grid construction.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Lu, G., De, D., Song, W.: SmartGridLab a laboratory-based smart grid testbed. In: Proceedings of the First IEEE International Conference on Smart Grid Communications. Gaithersburg, USA, pp. 143–148 (2010)

    Google Scholar 

  2. Bella, A.L., Cominesi, S.R., Sandroni, C., Scattolini, R.: Hierarchical predictive control of microgrids in islanded operation. IEEE Trans. Automation Sci. Eng. 14(2), 536–546 (2017)

    Article  Google Scholar 

  3. Bompard, E., Wu, D., Xue, F.: Structural vulnerability of power systems: a topological approach. Electric Power Syst. Res. 81(7), 1334–1340 (2011)

    Article  Google Scholar 

  4. Sridhar, S., Hahn, A., Govindarasu, M.: Cyber-physical system security for the electric power grid. Proc. IEEE 100(1), 210–224 (2012)

    Article  Google Scholar 

  5. Jeler, G.E., Roman, D.: The graphite bomb: an overvies of its basic military applications. Rev. Air Force Acad. 1(31), 13–18 (2016)

    Article  Google Scholar 

  6. Zhang, H., Cheng, P., Shi, L., Chen, J.: Optimal denial-of-service attack scheduling with energy constraint. IEEE Trans. Automatic Control. 60(11), 3023–3028 (2015)

    Article  MathSciNet  Google Scholar 

  7. Zhang, H., Cheng, P., Shi, L., Chen, J.: Optimal DoS attack scheduling in wireless networked control system. IEEE Trans. Control Syst. Technol. 24(3), 843–852 (2016)

    Article  Google Scholar 

  8. Kosut, O., Jia, L., Thomas, R.J., Tong, L.: Malicious data attacks on the smart grid. IEEE Trans. Smart Grid 2(4), 645–658 (2011)

    Article  Google Scholar 

  9. Yang, X., Lin, J., Yu, W., Moulema, P., Fu, X., Zhao, W.: A novel en-route filtering scheme against false data injection attacks in cyber-physical networked systems. IEEE Trans. Comput. 61(1), 4–18 (2015)

    Article  MathSciNet  Google Scholar 

  10. Deng, R., Liang, H.: False data injection attacks with limited susceptance information and new countermeasures in smart grid. IEEE Trans. Ind. Inf. 15(3), 1619–1628 (2019)

    Article  Google Scholar 

  11. Wang, Q., Tai, W., Tang, Y., Ni, M., You, S.: A two-layer game theoretical attack-defense model for a false data injection attack against power systems. Int. J. Electrical Power Energy Syst. 104, 169–177 (2019)

    Article  Google Scholar 

  12. Srikantha, P., Kundur, D.: A DER attack-mitigation differential game for smart grid security analysis. IEEE Trans. Smart Grid 7(3), 1476–1485 (2016)

    Article  Google Scholar 

  13. Farraj, A., Hammad, E., Daoud, A.A., Kundur, D.: A game-theoretic analysis of cyber switching attacks and mitigation in smart grid systems. IEEE Trans. Smart Grid 7(4), 1846–1855 (2016)

    Article  Google Scholar 

  14. Sridhar, S., Manimaran, G.: Data integrity attack and its impacts on voltage control loop in power grid. In: Proceedings of IEEE Power & Energy Society General Meeting. San Diego, USA, pp. 1–6 (2011)

    Google Scholar 

  15. Yang, Q., Yang, J., Yu, W., An, D., Zhang, N., Zhao, W.: On false data-injection attacks against power system state estimation: modeling and countermeasures. IEEE Trans. Parallel Distributed Syst. 25(3), 717–729 (2014)

    Article  Google Scholar 

  16. Esmalifalak, M., Shi, G., Han, Z., Song, L.: Bad data injection attack and defense in electricity market using game theory study. IEEE Trans. Smart Grid 4(1), 160–169 (2013)

    Article  Google Scholar 

  17. Giraldo, J., Crdenas, A., Quijano, N.: Integrity attacks on real-time pricing in smart grids: impact and countermeasures. IEEE Trans. Smart Grid 8(5), 2249–2257 (2017)

    Article  Google Scholar 

  18. Wei, L., Sarwat, A.I., Saad, W., Biswas, S.: Stochastic games for power grid protection against coordinated cyber-physical attacks. IEEE Trans. Smart Grid 9(2), 684–694 (2018)

    Article  Google Scholar 

  19. Wang, H., Zhao, Q., Jia, Q., Guan, X.: Efficient topology optimization for a wired networked system by adding wireless communication. In: Proceedings of 2012 American Control Conference. Montreal, Canada, pp. 448–453 (2012)

    Google Scholar 

  20. Wang, J.W., Rong, L.L.: Cascade-based attack vulnerability on the US power grid. Saf. Sci. 47(10), 1332–1336 (2009)

    Article  Google Scholar 

  21. Liu, Y., Cheng, L.: Sampled-data based mean square bipartite consensus of double-integrator multi-agent systems with measurement noises. In: Proceedings of 2018 Chinese Intelligent Systems Conference, pp. 339–349 (2019)

    Google Scholar 

Download references

Acknowledgment

This work was supported in part by the National Natural Science Foundation of China (Grants 61633016 61873268 62025307 U1913209) and the Beijing Natural Science Foundation (Grant JQ19020)

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Long Cheng .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Liu, Y., Cheng, L. (2021). Optimal Defense Resource Allocation and Geographically Feasible Hexagonal Topology Construction for Power Grid Security. In: Li, K., Coombs, T., He, J., Tian, Y., Niu, Q., Yang, Z. (eds) Recent Advances in Sustainable Energy and Intelligent Systems. LSMS ICSEE 2021 2021. Communications in Computer and Information Science, vol 1468. Springer, Singapore. https://doi.org/10.1007/978-981-16-7210-1_43

Download citation

  • DOI: https://doi.org/10.1007/978-981-16-7210-1_43

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-7209-5

  • Online ISBN: 978-981-16-7210-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics