Impact analysis of cyber-attack on MMC–HVDC control system with countermeasures
International Journal of Dynamics and Control - Trang 1-11 - 2023
Tóm tắt
With the involvement of cyber-infrastructure, the power grids are susceptible to cyber-attacks, whose consequences can be alarming, especially during attacks on control units. Due to utilizing several control units, the vulnerability of high-voltage direct current (HVDC) transmission systems to cyber-attacks can be severe. Hence, this paper aims to analyze the impacts of cyber-attacks on the well-known modular multilevel converter (MMC) HVDC transmission technology for a smart grid with countermeasures. The ramifications of the false data injection attacks on different control units of the control system of MMC–HVDC are evaluated individually, while introducing the system’s vulnerabilities from the control parameters’ perspective for voltage controller, current controller, and phase-locked loop. Both positively and negatively biased attacks are considered during investigating the impacts of the false data injection attacks on the controller parameters of the MMC–HVDC transmission system, which can be severe. Hence, a controlled switching unit is proposed as a countermeasure for developing an attack-resilient system. Based on the experimental results using MATLAB/Simulink, the proposed protective system ensures the stable operation of a two-terminal MMC–HVDC transmission system of a wind farm effectively during cyber-attacks. The proposed controlled switching unit-based countermeasure can serve as a guide for attack-resilient applications of MMC-based systems.
Tài liệu tham khảo
Thomas MS, McDonald JD (2017) Power system SCADA and smart grids. CRC Press, Boca Raton, Florida
Greer C, Wollman DA, Prochaska D, Boynton PA, Mazer JA, Nguyen C, FitzPatrick G, Nelson TL, Koepke GH, Hefner AR Jr, others (2014) NIST framework and roadmap for smart grid interoperability standards, release 3.0. special publication (NIST SP), National Institute of Standards and Technology, Gaithersburg, MD. https://doi.org/10.6028/NIST.SP.1108r3
Bojek P (2022) Renewable electricity. international energy agency. https://www.iea.org/reports/renewable-electricity. Accessed 28 November 2022
Jindal A, Marnerides AK, Scott A, Hutchison D (2019) Identifying security challenges in renewable energy systems: a wind turbine case study. In: Proceedings of the 10th ACM international conference on future energy systems. ACM, New York, USA, pp 370–372. https://doi.org/10.1145/3307772.3330154
Gungor VC, Sahin D, Kocak T, Ergut S, Buccella C, Cecati C, Hancke GP (2011) Smart grid technologies: communication technologies and standards. IEEE Trans Ind Inform 7(4):529–539. https://doi.org/10.1109/TII.2011.2166794
Fang X, Misra S, Xue G, Yang D (2012) Smart grid - the new and improved power grid: a survey. IEEE Commun Surv Tutor 14(4):944–980. https://doi.org/10.1109/SURV.2011.101911.00087
Gharavi H, Ghafurian R (2011) Smart grid: the electric energy system of the future. Proc IEEE 99(6):917–921. https://doi.org/10.1109/JPROC.2011.2124210
Hussain S, Fernandez JH, Al-Ali AK, Shikfa A (2021) Vulnerabilities and countermeasures in electrical substations. Int J Crit Infrastruct Prot 33:100406. https://doi.org/10.1016/j.ijcip.2020.100406
Kushner D (2013) The real story of stuxnet. IEEE Spectr 50(3):48–53. https://doi.org/10.1109/MSPEC.2013.6471059
Case DU (2016) Analysis of the cyber attack on the Ukrainian power grid. Electric Inform Sharing Anal Center 388:1–29
Amanowicz M, Jarmakiewicz J (2017) Cyber security provision for industrial control systems. In: Trends in advanced intelligent control, optimization and automation. Springer, Cham pp 611–620
Deng R, Xiao G, Lu R, Liang H, Vasilakos AV (2017) False data injection on state estimation in power systems-attacks, impacts, and defense: a survey. IEEE Trans Ind Inform 13(2):411–423. https://doi.org/10.1109/TII.2016.2614396
Lopez C, Sargolzaei A, Santana H, Huerta C (2015) Smart grid cyber security: an overview of threats and countermeasures. J Energy Power Eng 9(7):632–647. https://doi.org/10.17265/1934-8975/2015.07.005
Lázaro J, Astarloa A, Rodríguez M, Bidarte U, Jiménez J (2021) A survey on vulnerabilities and countermeasures in the communications of the smart grid. Electronics 10(16):1881. https://doi.org/10.3390/electronics10161881
Staggs J, Ferlemann D, Shenoi S (2017) Wind farm security: attack surface, targets, scenarios and mitigation. Int J Crit Infrastruct Prot 17:3–14. https://doi.org/10.1016/j.ijcip.2017.03.001
Zabetian-Hosseini A, Mehrizi-Sani A, Liu C-C (2018) Cyberattack to cyber-physical model of wind farm SCADA. In: IECON 2018 - 44th annual conference of the IEEE industrial electronics society. IEEE, pp 4929-4934. https://doi.org/10.1109/IECON.2018.8591200
Zhang Y, Xiang Y, Wang L (2017) Power system reliability assessment incorporating cyber attacks against wind farm energy management systems. IEEE Trans Smart Grid 8(5):2343–2357. https://doi.org/10.1109/TSG.2016.2523515
Chen J, Zhu Q (2017) Interdependent strategic cyber defense and robust switching control design for wind energy systems. In: 2017 IEEE power & energy society general meeting. IEEE, pp 1–5. https://doi.org/10.1109/PESGM.2017.8274344
Debnath S, Qin J, Bahrani B, Saeedifard M, Barbosa P (2015) Operation, control, and applications of the modular multilevel converter: a review. IEEE Trans Power Electron 30(1):37–53. https://doi.org/10.1109/TPEL.2014.2309937
Pan H, Qin K, Zhang J, Yuan C (2022) Fruit fly optimization algorithm multi-objective control method for MMC traction power supply system with unbalanced distribution network. Int J Dyn Control 10(6):1922–1933. https://doi.org/10.1007/s40435-022-00927-3
Burgos-Mellado C, Donoso F, Dragičević T, Cardenas-Dobson R, Wheeler P, Clare J, Watson A (2022) Cyber-attacks in modular multilevel converters. IEEE Trans Power Electron 37(7):8488–8501. https://doi.org/10.1109/TPEL.2022.3147466
Hou J, Lei S, Yin W, Sun W, Hou Y (2022) Cybersecurity enhancement for multi-infeed high-voltage DC systems. IEEE Trans Smart Grid 13(4):3227–3240. https://doi.org/10.1109/TSG.2022.3156796
Ding T, Zeng Z, Qin B, Zhao J, Yang Y, Blaabjerg F, Dong Z (2021) Quantifying cyber attacks on industrial MMC-HVDC control system using structured pseudospectrum. IEEE Trans Power Electron 36(5):4915–4920. https://doi.org/10.1109/TPEL.2020.3032883
Roni MHK, Rana MS, Pota HR, Hasan MM, Hussain MS (2022) Recent trends in bio-inspired meta-heuristic optimization techniques in control applications for electrical systems: a review. Int J Dyn Control 10(3):999–1011. https://doi.org/10.1007/s40435-021-00892-3
Fattahi M, Afshar A (2020) Resilient sampled-data control of networked control systems against cyber attacks. Int J Dyn Control 8(1):205–217. https://doi.org/10.1007/s40435-018-0495-y
Rahman MA, Rana MS, Pota HR (2020) Mitigation of frequency and voltage disruptions in smart grid during cyber-attack. J Control Autom Electric Syst 31(2):412–421. https://doi.org/10.1007/s40313-020-00574-z
Beddard A, Barnes M (2015) Modelling of MMC-HVDC systems - an overview. Energy Procedia 80:201–212. https://doi.org/10.1016/j.egypro.2015.11.423
Anupom D, Shin D-C, Lee D-M (2022) A new level Increased NLM method of modular multi-level converters for reducing THD of output voltage. Int J Electron 109(10):1735–1758. https://doi.org/10.1080/00207217.2021.2001852
Xing F, Xu Z, Zhang Z, Xiao H (2020) Disturbance-state modeling and oscillation analysis of modular multilevel converters under P/Q control mode. Energies 13(6):1424. https://doi.org/10.3390/en13061424
Hassan M, Roy NK, Sahabuddin M (2016) Mitigation of frequency disturbance in power systems during cyber-attack. In: 2016 2nd international conference on electrical, computer & telecommunication engineering (ICECTE). IEEE, pp 1–4. https://doi.org/10.1109/ICECTE.2016.7879601
Ding J, Qammar A, Zhang Z, Karim A, Ning H (2022) Cyber threats to smart grids: review, taxonomy, potential solutions, and future directions. Energies 15(18):6799. https://doi.org/10.3390/en15186799
Moradzadeh A, Mohammadpourfard M, Genc I, Şeker ŞS, Mohammadi-Ivatloo B (2022) Deep learning-based cyber resilient dynamic line rating forecasting. Int J Electric Power Energy Syst 142:108257. https://doi.org/10.1016/j.ijepes.2022.108257