Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon openaccess Methodology for P&C cyber security studies using real-time digital simulation

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received 04/05/2018, Accepted 23/05/2018, Published 18/07/2018

With the smart grid development, advancements in deeply integrated information and communication technology (ICT) provide enhanced system awareness, effective decision-making support and high-performance protection and control (P&C) to improve operational reliably and stability of the modern power systems. To manage the risks relevant to the existing industrial P&C systems, it is of high necessity to develop a methodology of cyber security testing for industrial P&C systems. This methodology will be rolled out to continue to evaluate the risks for the next-generation industrial P&C systems when new ICTs are introduced e.g. IEC 61850. This study summarises the main purpose, scope of work of an innovation project in collaboration with National Grid. This on-going project is to develop such a methodology using the state-of-art real-time digital simulation to conduct hardware-in-the-loop testing.

Inspec keywords: smart power grids; decision making; security of data; IEC standards

Other keywords: high-performance protection; ICT; next-generation industrial P&C systems; system awareness; real-time digital simulation; smart grid development; National Grid; effective decision-making support; cyber security testing; P&C cyber security studies; modern power systems

Subjects: Data security; Power systems; Particle beam handling and diagnostics

References

    1. 1)
      • 9. Pai, A.: ‘Energy function analysis for power system stability’ (Springer, New York, NY, USA, 1989).
    2. 2)
      • 6. Mo, R.C.Y., Sinopoli, B.: ‘Detecting integrity attacks on SCADA systems’, IEEE Trans. Control Syst. Technol., 2014, 22, pp. 1396–1407.
    3. 3)
      • 4. Zhang, H., Cheng, P., Shi, L., et al: ‘Optimal denial-of-service attack scheduling with energy constraint’, IEEE Trans. Autom. Control, 2015, 60, pp. 3023–3028.
    4. 4)
      • 5. Chang, R.: ‘Defending against flooding-based distributed denial-of-service attacks: a tutorial’, IEEE Commun. Mag., 2002, 40, (10), pp 42–51.
    5. 5)
      • 1. Chakhchoukh, Y., Ishii, H.: ‘Coordinated cyber-attacks on the measurement function in hybrid state estimation’, IEEE Trans. Power Syst., 2015, 30, pp. 2487–2497.
    6. 6)
      • 2. Dae-Hyun, C., Le, X.: ‘Ramp-induced data attacks on look-ahead dispatch in real-time power markets’, IEEE Trans. Smart Grid, 2013, 4, pp. 1235–1243.
    7. 7)
      • 8. Tian, J., Liu, Z., Shu, J., et al: ‘Base on the ultra-short term power prediction and feed-forward control of energy management for microgrid system applied in industrial park’, IET Gener. Transm. Distrib., 2016, 10, pp. 2259–2266.
    8. 8)
      • 7. Zhang, F., Sun, Y., Cheng, L., et al: ‘Measurement and modeling of delays in wide- area closed-loop control systems’, IEEE Trans. Power Syst., 2015, 30, pp. 2426–2433.
    9. 9)
      • 3. Ye, H., Ge, Y., Liu, X., et al: ‘Transmission line rating attack in two-settlement electricity markets’, IEEE Trans. Smart Grid, 2016, 7, pp. 1346–1355.
http://iet.metastore.ingenta.com/content/journals/10.1049/joe.2018.0273
Loading

Related content

content/journals/10.1049/joe.2018.0273
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
Print this page
This is a required field
Please enter a valid email address