Skip to main content
Erschienen in: Wireless Networks 5/2021

18.02.2020

Link importance-based network recovery for large-scale failures in smart grids

verfasst von: Huibin Jia, Yonghe Gai, Dongfang Xu, Yincheng Qi, Hongda Zheng

Erschienen in: Wireless Networks | Ausgabe 5/2021

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Large-scale natural disaster or malicious attacks could cause serious damages to the communication network in smart grids. If the damaged network cannot be recovered timely, greater threat will be brought to the secure and stable operation of smart grids. In this paper, a link importance-based network recovery method for large-scale failures in smart grids has been proposed. Firstly, the link importance for the network can be obtained according to the link importance for the service type and the importance of the service type for the network; secondly, a network recovery model, which is 0–1 integer programming, has been established to recover more important communication services with limited recovery resources; finally, we propose a heuristic algorithm to solve the problem and reduce the computational expenditure. The simulation experiments are carried out to evaluate the performance of the proposed algorithm. The simulation results illustrate that our network recovery method is applicable to the large-scale failures and the link which carries the high-priority service can be first recovered in this paper, thus which further ensures the safe and stable operation of smart grids.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

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!

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!

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!

Anhänge
Nur mit Berechtigung zugänglich
Literatur
1.
Zurück zum Zitat Zhang, X., et al. (2017). Effects of cyber coupling on cascading failures in power systems. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 7(2), 228–238.CrossRef Zhang, X., et al. (2017). Effects of cyber coupling on cascading failures in power systems. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 7(2), 228–238.CrossRef
2.
Zurück zum Zitat Kong, P. Y. (2017). Cost efficient data aggregation point placement with interdependent communication and power networks in smart grid. IEEE Transactions on Smart Grid, 10(1), 74–83.CrossRef Kong, P. Y. (2017). Cost efficient data aggregation point placement with interdependent communication and power networks in smart grid. IEEE Transactions on Smart Grid, 10(1), 74–83.CrossRef
3.
Zurück zum Zitat Lu, R., & Hong, S. H. (2019). Incentive-based demand response for smart grid with reinforcement learning and deep neural network. Applied Energy, 236, 937–949.CrossRef Lu, R., & Hong, S. H. (2019). Incentive-based demand response for smart grid with reinforcement learning and deep neural network. Applied Energy, 236, 937–949.CrossRef
4.
Zurück zum Zitat Chen, L., Jiang, D., Song, H., et al. (2018). A lightweight end-side user experience data collection system for quality evaluation of multimedia communications. IEEE Access, 2018(6), 15408–15419.CrossRef Chen, L., Jiang, D., Song, H., et al. (2018). A lightweight end-side user experience data collection system for quality evaluation of multimedia communications. IEEE Access, 2018(6), 15408–15419.CrossRef
5.
Zurück zum Zitat Wang, F., Jiang, D., Wen, H., et al. (2019). Adaboost-based security level classification of mobile intelligent terminals. The Journal of Supercomputing, 75(11), 7460–7478.CrossRef Wang, F., Jiang, D., Wen, H., et al. (2019). Adaboost-based security level classification of mobile intelligent terminals. The Journal of Supercomputing, 75(11), 7460–7478.CrossRef
6.
Zurück zum Zitat Bartolini, N., et al. (2017). On critical service recovery after massive network failures. IEEE/ACM Transactions on Networking (TON), 25(4), 2235–2249.CrossRef Bartolini, N., et al. (2017). On critical service recovery after massive network failures. IEEE/ACM Transactions on Networking (TON), 25(4), 2235–2249.CrossRef
7.
Zurück zum Zitat Genda, K. (2017). Effective network recovery with higher priority to service recovery after a large-scale failure. In 2017 23rd Asia-Pacific Conference on Communications (APCC) (pp. 1–6), Perth, WA. Genda, K. (2017). Effective network recovery with higher priority to service recovery after a large-scale failure. In 2017 23rd Asia-Pacific Conference on Communications (APCC) (pp. 1–6), Perth, WA.
8.
Zurück zum Zitat Genda, K., & Kamamura, S. (2016). Multi-stage network recovery considering traffic demand after a large-scale failure. In 2016 IEEE International Conference on Communications (ICC) (pp. 1–6). IEEE. Genda, K., & Kamamura, S. (2016). Multi-stage network recovery considering traffic demand after a large-scale failure. In 2016 IEEE International Conference on Communications (ICC) (pp. 1–6). IEEE.
9.
Zurück zum Zitat Tootaghaj, D. Z., Bartolini, N., Khamfroush, H., & La Porta, T. (2018). On progressive network recovery from massive failures under uncertainty. IEEE Transactions on Network and Service Management, 16(1), 113–126.CrossRef Tootaghaj, D. Z., Bartolini, N., Khamfroush, H., & La Porta, T. (2018). On progressive network recovery from massive failures under uncertainty. IEEE Transactions on Network and Service Management, 16(1), 113–126.CrossRef
10.
Zurück zum Zitat Huo, L., Jiang, D., & Lv, Z. (2018). Soft frequency reuse-based optimization algorithm for energy efficiency of multi-cell networks. Computers & Electrical Engineering, 66(2), 316–331.CrossRef Huo, L., Jiang, D., & Lv, Z. (2018). Soft frequency reuse-based optimization algorithm for energy efficiency of multi-cell networks. Computers & Electrical Engineering, 66(2), 316–331.CrossRef
11.
Zurück zum Zitat Jiang, D., Li, W., & Lv, H. (2017). An energy-efficient cooperative multicast routing in multi-hop wireless networks for smart medical applications. Neurocomputing, 2017(220), 160–169.CrossRef Jiang, D., Li, W., & Lv, H. (2017). An energy-efficient cooperative multicast routing in multi-hop wireless networks for smart medical applications. Neurocomputing, 2017(220), 160–169.CrossRef
12.
Zurück zum Zitat Jiang, D., Zhang, P., Lv, Z., et al. (2016). Energy-efficient multi-constraint routing algorithm with load balancing for smart city applications. IEEE Internet of Things Journal, 3(6), 1437–1447.CrossRef Jiang, D., Zhang, P., Lv, Z., et al. (2016). Energy-efficient multi-constraint routing algorithm with load balancing for smart city applications. IEEE Internet of Things Journal, 3(6), 1437–1447.CrossRef
13.
Zurück zum Zitat Jiang, D., Huo, L., Lv, Z., et al. (2018). A joint multi-criteria utility-based network selection approach for vehicle-to-infrastructure networking. IEEE Transactions on Intelligent Transportation Systems, 99, 1–15. Jiang, D., Huo, L., Lv, Z., et al. (2018). A joint multi-criteria utility-based network selection approach for vehicle-to-infrastructure networking. IEEE Transactions on Intelligent Transportation Systems, 99, 1–15.
14.
Zurück zum Zitat Jiang, D., Huo, L., & Li, Y. (2018). Fine-granularity inference and estimations to network traffic for SDN. PLoS ONE, 13(5), 1–23. Jiang, D., Huo, L., & Li, Y. (2018). Fine-granularity inference and estimations to network traffic for SDN. PLoS ONE, 13(5), 1–23.
15.
Zurück zum Zitat Jiang, D., Wang, Y., & Lv, Z. et al. (2019). Big data analysis-based network behavior insight of cellular networks for industry 4.0 applications. In IEEE transactions on industrial informatics (pp. 1–1). Jiang, D., Wang, Y., & Lv, Z. et al. (2019). Big data analysis-based network behavior insight of cellular networks for industry 4.0 applications. In IEEE transactions on industrial informatics (pp. 1–1).
16.
Zurück zum Zitat Huo, L., Jiang, D., & Zhu, X. et al. (2019). A SDN-based fine-grained measurement and modeling approach to vehicular communication network traffic. In: International Journal of Communication Systems (pp. 1–12). Huo, L., Jiang, D., & Zhu, X. et al. (2019). A SDN-based fine-grained measurement and modeling approach to vehicular communication network traffic. In: International Journal of Communication Systems (pp. 1–12).
17.
Zurück zum Zitat Jiang, D., Wang, W., Si, L., et al. (2018). A compressive sensing-based approach to end-to-end network traffic reconstruction. IEEE Transactions on Network Science and Engineering, 5(3), 1–12. Jiang, D., Wang, W., Si, L., et al. (2018). A compressive sensing-based approach to end-to-end network traffic reconstruction. IEEE Transactions on Network Science and Engineering, 5(3), 1–12.
18.
Zurück zum Zitat Zhu, J., Song, Y., Jiang, D., et al. (2018). A new deep-Q-learning-based transmission scheduling mechanism for the cognitive Internet of things. IEEE Internet of Things Journal, 5(4), 2375–2385.CrossRef Zhu, J., Song, Y., Jiang, D., et al. (2018). A new deep-Q-learning-based transmission scheduling mechanism for the cognitive Internet of things. IEEE Internet of Things Journal, 5(4), 2375–2385.CrossRef
19.
Zurück zum Zitat Kaptchouang, S., Tahara, H., & Oki, E. (2016). Link weight optimization scheme for link reinforcement in ip networks. IEICE Transactions on Communications, 100(3), 417–425.CrossRef Kaptchouang, S., Tahara, H., & Oki, E. (2016). Link weight optimization scheme for link reinforcement in ip networks. IEICE Transactions on Communications, 100(3), 417–425.CrossRef
20.
Zurück zum Zitat Li, H. et al. (2016). A declarative failure recovery system in software defined networks. In 2016 IEEE International Conference on Communications (ICC) (pp. 1–6). IEEE. Li, H. et al. (2016). A declarative failure recovery system in software defined networks. In 2016 IEEE International Conference on Communications (ICC) (pp. 1–6). IEEE.
21.
Zurück zum Zitat He, L., et al. (2017). Congestion-aware local reroute for fast failure recovery in software-defined networks. IEEE/OSA Journal of Optical Communications and Networking, 9(11), 934–944.CrossRef He, L., et al. (2017). Congestion-aware local reroute for fast failure recovery in software-defined networks. IEEE/OSA Journal of Optical Communications and Networking, 9(11), 934–944.CrossRef
22.
Zurück zum Zitat Yan, J., Xu, J., et al. (2016). Impact of communication system interruption on power system wide area protection and control system. Automation of Electric Power Systems, 40(5), 17–24. Yan, J., Xu, J., et al. (2016). Impact of communication system interruption on power system wide area protection and control system. Automation of Electric Power Systems, 40(5), 17–24.
23.
Zurück zum Zitat Lv, Z. et al. (2019). Intelligent security planning for regional distributed energy internet. In IEEE transactions on industrial informatics (vol. 99, pp. 1–1). Lv, Z. et al. (2019). Intelligent security planning for regional distributed energy internet. In IEEE transactions on industrial informatics (vol. 99, pp. 1–1).
24.
Zurück zum Zitat Ashok, A., Govindarasu, M., & Wang, J. (2017). Cyber-physical attack-resilient wide-area monitoring, protection, and control for the power grid. Proceedings of the IEEE, 105(7), 1389–1407.CrossRef Ashok, A., Govindarasu, M., & Wang, J. (2017). Cyber-physical attack-resilient wide-area monitoring, protection, and control for the power grid. Proceedings of the IEEE, 105(7), 1389–1407.CrossRef
25.
Zurück zum Zitat Baidya, P. M., & Sun, W. (2017). Effective restoration strategies of interdependent power system and communication network. The Journal of Engineering, 2017(13), 1760–1764.CrossRef Baidya, P. M., & Sun, W. (2017). Effective restoration strategies of interdependent power system and communication network. The Journal of Engineering, 2017(13), 1760–1764.CrossRef
26.
Zurück zum Zitat Lin, H., et al. (2018). Self-healing attack-resilient PMU network for power system operation. IEEE Transactions on Smart Grid, 9(3), 1551–1565.CrossRef Lin, H., et al. (2018). Self-healing attack-resilient PMU network for power system operation. IEEE Transactions on Smart Grid, 9(3), 1551–1565.CrossRef
27.
Zurück zum Zitat Wang, F., Jiang, D., & Qi, S. (2019). An adaptive routing algorithm for integrated information networks. China Communications, 7(1), 196–207. Wang, F., Jiang, D., & Qi, S. (2019). An adaptive routing algorithm for integrated information networks. China Communications, 7(1), 196–207.
28.
Zurück zum Zitat Li, X., et al. (2018). Minimizing multicast routing delay in multiple multicast trees with shared links for smart grid. IEEE Transactions on Smart Grid., 99, 1–1. Li, X., et al. (2018). Minimizing multicast routing delay in multiple multicast trees with shared links for smart grid. IEEE Transactions on Smart Grid., 99, 1–1.
29.
Zurück zum Zitat Jia, H., Xue, K., Ma, J., et al. (2016). Improved Ant Colony algorithm for multipath routing selection in wide-area protection communication system. Automation of Electric Power System, 40(22), 22–26. Jia, H., Xue, K., Ma, J., et al. (2016). Improved Ant Colony algorithm for multipath routing selection in wide-area protection communication system. Automation of Electric Power System, 40(22), 22–26.
30.
Zurück zum Zitat Yi, T., Li, F., Wang, Q., et al. (2017). Quantitative evaluation of communication system fault effect on real-time load control power system. Electric Power Automation Equipment, 27(2), 90–96. Yi, T., Li, F., Wang, Q., et al. (2017). Quantitative evaluation of communication system fault effect on real-time load control power system. Electric Power Automation Equipment, 27(2), 90–96.
31.
Zurück zum Zitat Fan, B., & Tang, L. (2014). Vulnerability analysis of power communication network. Proceedings of the Csee, 34(7), 1191–1197. Fan, B., & Tang, L. (2014). Vulnerability analysis of power communication network. Proceedings of the Csee, 34(7), 1191–1197.
33.
Zurück zum Zitat Huo, L., & Jiang, D. (2019). Stackelberg Game-based energy-efficient resource allocation for 5G cellular networks. Telecommunication System, 23(4), 1–11. Huo, L., & Jiang, D. (2019). Stackelberg Game-based energy-efficient resource allocation for 5G cellular networks. Telecommunication System, 23(4), 1–11.
34.
Zurück zum Zitat Sun, M., Jiang, D., Song, H., & Liu, Y. (2017). Statistical resolution limit analysis of two closely spaced signal sources using Rao test. IEEE Access, 5, 22013–22022.CrossRef Sun, M., Jiang, D., Song, H., & Liu, Y. (2017). Statistical resolution limit analysis of two closely spaced signal sources using Rao test. IEEE Access, 5, 22013–22022.CrossRef
35.
Zurück zum Zitat Jiang, D., Huo, L., & Song, H. (2018). Rethinking behaviors and activities of base stations in mobile cellular networks based on big data analysis. IEEE Transactions on Network Science and Engineering, 1(1), 1–12.MathSciNet Jiang, D., Huo, L., & Song, H. (2018). Rethinking behaviors and activities of base stations in mobile cellular networks based on big data analysis. IEEE Transactions on Network Science and Engineering, 1(1), 1–12.MathSciNet
Metadaten
Titel
Link importance-based network recovery for large-scale failures in smart grids
verfasst von
Huibin Jia
Yonghe Gai
Dongfang Xu
Yincheng Qi
Hongda Zheng
Publikationsdatum
18.02.2020
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 5/2021
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-019-02219-9

Weitere Artikel der Ausgabe 5/2021

Wireless Networks 5/2021 Zur Ausgabe

Neuer Inhalt