Top

Published in:

2021 | OriginalPaper | Chapter

3. How to Employ Competitive Smart Home Retailers to React to Cyberattacks in Smart Cities?

Author : Arash Asrari

Published in: Operation of Smart Homes

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

The growing implementation of information/communication technology accompanied with increasing integration of distributed generation (DG) and smart homes (SHs) have made smart cities more prone to malicious cyberattacks. This chapter proposes a three-layer framework to react to cyberattacks reported by decentralized DG retailers and SH retailers. In the first layer, the system operator administratively modifies the topology of the system to enhance the network reliance on the non-attacked retailers. In the second layer, non-attacked SH retailers are handled by the market operator to manage congestions caused by the administrative action of the system operator in outages prevention. In the third layer, the system operator applies a forced load curtailment on the non-attacked SH retailers who were passive in the second-layer market mechanism to relieve the remaining congestions. The performance of the introduced framework is verified by its implementation on a distribution network modified to contain DG retailers and SH retailers.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

previous chapter Multi-time Scale Stochastic Model Predictive Control for Cooperative Distributed Energy Scheduling of Smart Homes

next chapter Demand Response Frameworks for Smart Residential Buildings

R. Deng, G. Xiao, R. Lu, H. Liang, A.V. Vasilakos, False data injection on state estimation in power systems—Attacks, impacts, and defense: A survey. IEEE Trans. Ind. Inf. 13(2), 411–423 (2017). https://doi.org/10.1109/TII.2016.2614396CrossRef

G. Liang, S.R. Weller, J. Zhao, F. Luo, Z.Y. Dong, The 2015 Ukraine blackout: Implications for false data injection attacks. IEEE Trans. Power Syst. 32(4), 3317–3318 (2017). https://doi.org/10.1109/TPWRS.2016.2631891CrossRef

G. Liang, J. Zhao, F. Luo, S.R. Weller, Z.Y. Dong, A review of false data injection attacks against modern power systems. IEEE Trans. Smart Grid 8(4), 1630–1638 (2017). https://doi.org/10.1109/TSG.2015.2495133CrossRef

Electricity Information Sharing and Analysis Center, Analysis of the Cyber Attack on the Ukrainian Power Grid, 2016 [Online]. Available: https://ics.sans.org/media/E-ISAC_SANS_Ukraine_DUC_5.pdf

Y. Liu, P. Ning, M. K. Reiter, False data injection attacks against state estimation in electric power grids, in Proceeding 16th ACM conference on Computer and Communications Security (CCS 2009), New York, NY, USA, 21–32, 2009. https://doi.org/10.1145/1653662.1653666

Y. Liu, P. Ning, M.K. Reiter, False data injection attacks against state estimation in electric power grids. ACM Trans. Inf Syst. Secur. 14(1), 1–33 (2011). https://doi.org/10.1145/1952982.1952995CrossRef

L. Xie, Y. Mo, B. Sinopoli, Integrity data attacks in power market operations. IEEE Trans. Smart Grid 2(4), 659–666 (2011). https://doi.org/10.1109/TSG.2011.2161892CrossRef

G. Liang, S.R. Weller, F. Luo, J. Zhao, Z.Y. Dong, Generalized FDIA-based cyber topology attack with application to the Australian electricity market trading mechanism. IEEE Trans. Smart Grid 9(4), 3820–3829 (July 2018). https://doi.org/10.1109/TSG.2017.2677911CrossRef

M. Esmalifalak, H. Nguyen, R. Zheng, L. Xie, L. Song, Z. Han, A stealthy attack against electricity market using independent component analysis. IEEE Syst. J 12(1), 297–307 (2018). https://doi.org/10.1109/JSYST.2015.2483742CrossRef

10.

M. Esmalifalak, G. Shi, Z. Han, L. Song, Bad data injection attack and Defense in electricity market using game theory study. IEEE Trans. Smart Grid 4(1), 160–169 (2013). https://doi.org/10.1109/TSG.2012.2224391CrossRef

11.

B. Wang, M. Dabbaghjamanesh, A. Kavousi-Fard, S. Mehraeen, Cybersecurity enhancement of power trading within the networked microgrids based on Blockchain and directed acyclic graph approach. IEEE Trans. Ind Appl. 55(6), 7300–7309 (2019). https://doi.org/10.1109/TIA.2019.2919820CrossRef

12.

H.F. Habib, M.E. Hariri, A. Elsayed, O.A. Mohammed, Utilization of Supercapacitors in protection schemes for resiliency against communication outages: A case study on size and cost optimization. IEEE Trans. Ind. Appl. 54(4), 3153–3164 (2018). https://doi.org/10.1109/TIA.2018.2819620CrossRef

13.

B. Wang, P. Dehghanian, S. Wang, M. Mitolo, Electrical safety considerations in large-scale electric vehicle charging stations. IEEE Trans. Ind. Appl 55(6), 6603–6612 (2019). https://doi.org/10.1109/TIA.2019.2936474CrossRef

14.

Q. Yang et al., Toward data integrity attacks against optimal power flow in smart grid. IEEE Internet Things J. 4(5), 1726–1738 (Oct. 2017). https://doi.org/10.1109/JIOT.2017.2709252CrossRef

15.

Q. Dai, L. Shi, Y. Ni, Risk assessment for cyberattack in active distribution systems considering the role of feeder automation. IEEE Trans. Power Syst. 34(4), 3230–3240 (July 2019). https://doi.org/10.1109/TPWRS.2019.2899983CrossRef

16.

Y. Wang, T.L. Nguyen, Y. Xu, Z. Li, Q. Tran, R. Caire, Cyber-physical design and implementation of distributed event-triggered secondary control in islanded microgrids. IEEE Trans. Ind. Appl. 55(6), 5631–5642 (Nov.-Dec. 2019). https://doi.org/10.1109/TIA.2019.2936179CrossRef

17.

T.T. Kim, H.V. Poor, Strategic protection against data injection attacks on power grids. IEEE Trans. Smart Grid 2(2), 326–333 (June 2011). https://doi.org/10.1109/TSG.2011.2119336CrossRef

18.

T. J. Overbye, Z. Mao, K. S. Shetye, J. D. Weber, An interactive, extensible environment for power system simulation on the PMU time frame with a cyber security application, in 2017 IEEE Texas Power and Energy Conference (TPEC), College Station, 2017, pp. 1–6, https://doi.org/10.1109/TPEC.2017.7868264

19.

S. Brahma, R. Kavasseri, H. Cao, N.R. Chaudhuri, T. Alexopoulos, Y. Cui, Real-time identification of dynamic events in power systems using PMU data, and potential applications—Models, promises, and challenges. IEEE Trans. Power Deliv. 32(1), 294–301 (Feb. 2017). https://doi.org/10.1109/TPWRD.2016.2590961CrossRef

20.

J. Liu, Y. Gu, L. Zha, Y. Liu, J. Cao, Event-triggered H∞ load frequency control for multiarea power systems under hybrid cyber attacks. IEEE Trans. Syst. Man Cybern Syst 49(8), 1665–1678 (Aug. 2019). https://doi.org/10.1109/TSMC.2019.2895060CrossRef

21.

J. Liu, Y. Gu, X. Xie, D. Yue, J.H. Park, Hybrid-driven-based H∞ control for networked Cascade control systems with actuator saturations and stochastic cyber attacks. IEEE Trans. Syst. Man Cybern Syst 49(12), 2452–2463 (Dec. 2019). https://doi.org/10.1109/TSMC.2018.2875484CrossRef

22.

A. Asrari, M. Ansari, J. Khazaei and V. Cecchi, Real-time Blackout Prevention in Response to Decentralized Cyberattacks on a Smart Grid, in 2020 IEEE Texas Power and Energy Conference (TPEC), College Station, TX, USA, 2020, pp. 1–5, https://doi.org/10.1109/TPEC48276.2020.9042567

23.

M. Ansari, A. Asrari, Reaction to detected cyberattacks in smart distribution systems, 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, USA, 2020, pp. 1–5, https://doi.org/10.1109/ISGT45199.2020.9087771

24.

V.V.G. Krishnan, S. Gopal, R. Liu, A. Askerman, A. Srivastava, D. Bakken, P. Panciatici, Resilient cyber infrastructure for the minimum wind curtailment remedial control scheme. IEEE Trans. Ind. Appl. 55(1), 943–953 (Jan.-Feb. 2019). https://doi.org/10.1109/TIA.2018.2868257CrossRef

25.

V. K. Singh, M. Govindarasu, Decision tree based anomaly detection for remedial action scheme in smart grid using PMU data, in 2018 IEEE Power & Energy Society General Meeting (PESGM), Portland, OR, 2018, pp. 1–5, https://doi.org/10.1109/PESGM.2018.8586159

26.

P. Wang, M. Govindarasu, Multi intelligent agent based cyber attack resilient system protection and emergency control, in 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), Minneapolis, MN, 2016, pp. 1–5. https://doi.org/10.1109/ISGT.2016.7781267

27.

M. Rahmani-Andebili, H. Shen, Price-controlled energy management of smart homes for maximizing profit of a GENCO. IEEE Trans. Syst. Man Cybern. Syst 49(4), 697–709 (April 2019). https://doi.org/10.1109/TSMC.2017.2690622CrossRef

28.

Y. Liu, S. Hu, H. Huang, R. Ranjan, A.Y. Zomaya, L. Wang, Game-theoretic market-driven smart home scheduling considering energy balancing. IEEE Syst. J. 11(2), 910–921 (June 2017). https://doi.org/10.1109/JSYST.2015.2418032CrossRef

29.

M. Rahmani-Andebili, Scheduling deferrable appliances and energy resources of a smart home applying multi-time scale stochastic model predictive control. Sustain. Cities Soc. (Elsevier) 32, 338–347 (July 2017)CrossRef

30.

M. Rahmani-Andebili, G.K. Venayagamoorthy, SmartPark placement and operation for improving system reliability and market participation. Electr. Power Syst. Res. (Elsevier) 123, 21–30 (June 2015)CrossRef

31.

M. Rahmani-andebili, H. Shen, Cooperative distributed energy scheduling for smart homes applying stochastic model predictive control, in 2017 IEEE International Conference on Communications (ICC), Paris, France, 2017, pp. 1–6, https://doi.org/10.1109/ICC.2017.7996420

32.

M. Rahmani-andebili, H. Shen, Energy Scheduling for a Smart Home Applying Stochastic Model Predictive Control, in 2016 25th International Conference on Computer Communication and Networks (ICCCN) (Waikoloa, HI, 2016), pp. 1–6. https://doi.org/10.1109/ICCCN.2016.7568516CrossRef

33.

S. Aznavi, P. Fajri, A. Asrari, F. Harirchi, Realistic and intelligent management of connected storage devices in future smart homes considering energy price tag. IEEE Trans. Ind. Appl 56(2), 1679–1689 (March-April 2020). https://doi.org/10.1109/TIA.2019.2956718CrossRef

34.

M. Shahidehpour, M. Alomoush, Restructured electrical power systems (Marcel Dekker, Inc., 2001), ISBN: 0-8247-0620-X

35.

S. Burger, J.P. Chaves-Aila, C. Batlle, I.J. Pez-Arriaga, A review of the value of aggregators in electricity systems. Renew. Sustain. Energ. Rev. (Elsevier) 77, 395–405 (September 2017). https://doi.org/10.1016/j.rser.2017.04.014CrossRef

36.

A. Asrari, S. Lotfifard, M.S. Payam, Pareto dominance-based multiobjective optimization method for distribution network reconfiguration. IEEE Trans. Smart Grid 7(3), 1401–1410 (May 2016). https://doi.org/10.1109/TSG.2015.2468683CrossRef

37.

J.A. Michline Rupa, S. Ganesh, Power flow analysis for radial distribution system using backward/forward sweep method. Int. J. Elec. Comput. Energ. Electr. Commun. Eng. 8(10), 1621–1625 (2014). https://doi.org/10.5281/zenodo.1337731CrossRef

38.

A. Asrari, B. Ramos, Power system protection upgrade at Anclote plant a case study in Florida state, 2018 IEEE Texas Power and Energy Conference (TPEC), College Station, TX, 2018, pp. 1–6, https://doi.org/10.1109/TPEC.2018.8312091

39.

E.M. Carreno, R. Romero, A. Padilha-Feltrin, An efficient codification to solve distribution network reconfiguration for loss reduction problem. IEEE Trans. Power Syst. 23(4), 1542–1551 (Nov. 2008). https://doi.org/10.1109/TPWRS.2008.2002178CrossRef

40.

A. Asrari, M. Ansari, J. Khazaei, P. Fajri, A market framework for decentralized congestion management in smart distribution grids considering collaboration among electric vehicle aggregators. IEEE Trans. Smart Grid 11(2), 1147–1158 (March 2020)CrossRef

41.

GDXMRW Manual [Online]. Available: https://www.gams.com/latest/docs/T_GDXMRW.html

Title: How to Employ Competitive Smart Home Retailers to React to Cyberattacks in Smart Cities?
Author: Arash Asrari
Publisher: Springer International Publishing
Book: Operation of Smart Homes
Print ISBN: 978-3-030-64914-2

Electronic ISBN: 978-3-030-64915-9

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-3-030-64915-9_3

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"