IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v207y2021ics0951832020308085.html
   My bibliography  Save this article

Method of power network critical nodes identification and robustness enhancement based on a cooperative framework

Author

Listed:
  • Wang, Shuliang
  • Lv, Wenzhuo
  • Zhang, Jianhua
  • Luan, Shengyang
  • Chen, Chen
  • Gu, Xifeng

Abstract

Taking both typical complex network models and power characteristics into account, a novel framework to evaluate the robustness of networks from different perspectives is proposed in this paper. Taking the IEEE 118 bus test case as the study case, the features of the power network are analyzed based on the topology theory and electrical science. Since critical nodes identification from different perspectives can lead to different results, it is of high importance to integrate information from more angles together. Therefore, using the network robustness index to evaluate both structural and functional robustness under six different failure scenarios, it is found that the betweenness-based attack can cause failures more quickly. Based on the above analysis, the method to improve the power network robustness is proposed, and the recovery of networks is also discussed. The method proposed in this paper can help decision-makers develop mitigation techniques and optimal protection strategies.

Suggested Citation

  • Wang, Shuliang & Lv, Wenzhuo & Zhang, Jianhua & Luan, Shengyang & Chen, Chen & Gu, Xifeng, 2021. "Method of power network critical nodes identification and robustness enhancement based on a cooperative framework," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    • Handle: RePEc:eee:reensy:v:207:y:2021:i:c:s0951832020308085
    DOI: 10.1016/j.ress.2020.107313
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832020308085
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2020.107313?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ren, Yi & Fan, Dongming & Feng, Qiang & Wang, Zili & Sun, Bo & Yang, Dezhen, 2019. "Agent-based restoration approach for reliability with load balancing on smart grids," Applied Energy, Elsevier, vol. 249(C), pages 46-57.
    2. Fang, Yi-Ping & Zio, Enrico, 2013. "Unsupervised spectral clustering for hierarchical modelling and criticality analysis of complex networks," Reliability Engineering and System Safety, Elsevier, vol. 116(C), pages 64-74.
    3. Zhongyuan Jiang & Mangui Liang & Dongchao Guo, 2011. "Enhancing Network Performance By Edge Addition," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 22(11), pages 1211-1226.
    4. Yarveisy, Rioshar & Gao, Chuan & Khan, Faisal, 2020. "A simple yet robust resilience assessment metrics," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    5. Wang, Shuliang & Zhang, Jianhua & Yue, Xin, 2018. "Multiple robustness assessment method for understanding structural and functional characteristics of the power network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 261-270.
    6. Beygelzimer, Alina & Grinstein, Geoffrey & Linsker, Ralph & Rish, Irina, 2005. "Improving network robustness by edge modification," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 357(3), pages 593-612.
    7. Li, Jian & Dueñas-Osorio, Leonardo & Chen, Changkun & Shi, Congling, 2017. "AC power flow importance measures considering multi-element failures," Reliability Engineering and System Safety, Elsevier, vol. 160(C), pages 89-97.
    8. Ouyang, Min, 2014. "Review on modeling and simulation of interdependent critical infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 43-60.
    9. Ji, Xingpei & Wang, Bo & Liu, Dichen & Chen, Guo & Tang, Fei & Wei, Daqian & Tu, Lian, 2016. "Improving interdependent networks robustness by adding connectivity links," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 9-19.
    10. Cao, Xian-Bin & Hong, Chen & Du, Wen-Bo & Zhang, Jun, 2013. "Improving the network robustness against cascading failures by adding links," Chaos, Solitons & Fractals, Elsevier, vol. 57(C), pages 35-40.
    11. Zhang, Pengcheng & Peeta, Srinivas, 2011. "A generalized modeling framework to analyze interdependencies among infrastructure systems," Transportation Research Part B: Methodological, Elsevier, vol. 45(3), pages 553-579, March.
    12. Zio, Enrico & Piccinelli, Roberta, 2010. "Randomized flow model and centrality measure for electrical power transmission network analysis," Reliability Engineering and System Safety, Elsevier, vol. 95(4), pages 379-385.
    13. Ouyang, Min & Xu, Min & Zhang, Chi & Huang, Shitong, 2017. "Mitigating electric power system vulnerability to worst-case spatially localized attacks," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 144-154.
    14. Utne, I.B. & Hokstad, P. & Vatn, J., 2011. "A method for risk modeling of interdependencies in critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 96(6), pages 671-678.
    15. Chen, Duanbing & Lü, Linyuan & Shang, Ming-Sheng & Zhang, Yi-Cheng & Zhou, Tao, 2012. "Identifying influential nodes in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1777-1787.
    16. Cagno, Enrico & De Ambroggi, Massimiliano & Grande, Ottavio & Trucco, Paolo, 2011. "Risk analysis of underground infrastructures in urban areas," Reliability Engineering and System Safety, Elsevier, vol. 96(1), pages 139-148.
    17. Azzolin, Alberto & Dueñas-Osorio, Leonardo & Cadini, Francesco & Zio, Enrico, 2018. "Electrical and topological drivers of the cascading failure dynamics in power transmission networks," Reliability Engineering and System Safety, Elsevier, vol. 175(C), pages 196-206.
    18. Jianxi Gao & Baruch Barzel & Albert-László Barabási, 2016. "Universal resilience patterns in complex networks," Nature, Nature, vol. 530(7590), pages 307-312, February.
    19. Bilal M. Ayyub, 2014. "Systems Resilience for Multihazard Environments: Definition, Metrics, and Valuation for Decision Making," Risk Analysis, John Wiley & Sons, vol. 34(2), pages 340-355, February.
    20. Ntalampiras, Stavros & Soupionis, Yannis & Giannopoulos, Georgios, 2015. "A fault diagnosis system for interdependent critical infrastructures based on HMMs," Reliability Engineering and System Safety, Elsevier, vol. 138(C), pages 73-81.
    21. Fang, Yi-Ping & Zio, Enrico, 2019. "An adaptive robust framework for the optimization of the resilience of interdependent infrastructures under natural hazards," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1119-1136.
    22. Rehak, David & Senovsky, Pavel & Hromada, Martin & Lovecek, Tomas & Novotny, Petr, 2018. "Cascading Impact Assessment in a Critical Infrastructure System," International Journal of Critical Infrastructure Protection, Elsevier, vol. 22(C), pages 125-138.
    23. Ettore Bompard & Lingen Luo & Enrico Pons, 2015. "A perspective overview of topological approaches for vulnerability analysis of power transmission grids," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 11(1), pages 15-26.
    24. Cadini, Francesco & Agliardi, Gian Luca & Zio, Enrico, 2017. "Estimation of rare event probabilities in power transmission networks subject to cascading failures," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 9-20.
    25. Fang, Yi-Ping & Sansavini, Giovanni, 2019. "Optimum post-disruption restoration under uncertainty for enhancing critical infrastructure resilience," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 1-11.
    26. Li, Daqing & Zhang, Qiong & Zio, Enrico & Havlin, Shlomo & Kang, Rui, 2015. "Network reliability analysis based on percolation theory," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 556-562.
    27. Pagani, Giuliano Andrea & Aiello, Marco, 2013. "The Power Grid as a complex network: A survey," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(11), pages 2688-2700.
    28. Wang, Zhuoyang & Hill, David J. & Chen, Guo & Dong, Zhao Yang, 2017. "Power system cascading risk assessment based on complex network theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 532-543.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Vasylius, Virginijus & Jonaitis, Audrius & Gudžius, Saulius & Kopustinskas, Vytis, 2021. "Multi-period optimal power flow for identification of critical elements in a country scale high voltage power grid," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    2. Wei, Wei & Sun, Guobin & Zhang, Qinghui, 2024. "Large-scale robustness-oriented efficient edge addition through traversal tree-based weak edge identification," Chaos, Solitons & Fractals, Elsevier, vol. 179(C).
    3. Zhang, Mingyuan & Yang, Xiangjie & Zhang, Juan & Li, Gang, 2022. "Post-earthquake resilience optimization of a rural “road-bridge†transportation network system," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    4. Hao, Yucheng & Jia, Limin & Zio, Enrico & Wang, Yanhui & He, Zhichao, 2024. "A network-based approach to improving robustness of a high-speed train by structure adjustment," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    5. Hao, Yucheng & Jia, Limin & Zio, Enrico & Wang, Yanhui & He, Zhichao, 2023. "A multi-objective optimization model for identifying groups of critical elements in a high-speed train," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    6. Guo, Haoming & Wang, Shuangling & Yan, Xuefeng & Zhang, Kecheng, 2024. "Node importance evaluation method of complex network based on the fusion gravity model," Chaos, Solitons & Fractals, Elsevier, vol. 183(C).
    7. Zhang, Kaimin & Bai, Libiao & Xie, Xiaoyan & Wang, Chenshuo, 2023. "Modeling of risk cascading propagation in project portfolio network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 612(C).
    8. Robinson, Allen C. & Drake, Richard R. & Swan, M. Scot & Bennett, Nichelle L. & Smith, Thomas M. & Hooper, Russell & Laity, George R., 2021. "A software environment for effective reliability management for pulsed power design," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
    9. Wang, Shuliang & Dong, Qiqi, 2023. "A multi-source power grid's resilience enhancement strategy based on subnet division and power dispatch," International Journal of Critical Infrastructure Protection, Elsevier, vol. 41(C).
    10. Wang, Ning & Gao, Ying & He, Jia-tao & Yang, Jun, 2022. "Robustness evaluation of the air cargo network considering node importance and attack cost," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    11. Lu, Qin & Zhang, Wei, 2022. "Integrating dynamic Bayesian network and physics-based modeling for risk analysis of a time-dependent power distribution system during hurricanes," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    12. Wei, Wei & Liu, Yuting & Yang, Weidong, 2023. "PTUM: Efficient shielding of large-scale network through pruned tree-cut mapping," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    13. Oboudi, Mohammad Hossein & Mohammadi, Mohammad, 2024. "Two-Stage Seismic Resilience Enhancement of Electrical Distribution Systems," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    14. Dong, Zhengcheng & Tian, Meng & Li, Xin & Lai, Jingang & Tang, Ruoli, 2022. "Mitigating cascading failures of spatially embedded cyber–physical power systems by adding additional information links," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    15. Gao, Xin & Ye, Yunxia & Su, Wenxin & Chen, Linyan, 2023. "Assessing the comprehensive importance of power grid nodes based on DEA," International Journal of Critical Infrastructure Protection, Elsevier, vol. 42(C).
    16. Xu, Mengqiao & Deng, Wenhui & Zhu, Yifan & LÜ, Linyuan, 2023. "Assessing and improving the structural robustness of global liner shipping system: A motif-based network science approach," Reliability Engineering and System Safety, Elsevier, vol. 240(C).
    17. Wang, Ziqi & Pei, Yulong & Zhang, Jianhua & Dong, Chuntong & Liu, Jing & Zhou, Dongyue, 2024. "Vulnerability analysis of public transit systems from the perspective of the traffic situation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 634(C).
    18. Beyza, Jesus & Yusta, Jose M., 2021. "The effects of the high penetration of renewable energies on the reliability and vulnerability of interconnected electric power systems," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    19. Wang, Ziqi & Pei, Yulong & Liu, Jing & Liu, Hehang, 2023. "Vulnerability analysis of urban road networks based on traffic situation," International Journal of Critical Infrastructure Protection, Elsevier, vol. 41(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abedi, Amin & Gaudard, Ludovic & Romerio, Franco, 2019. "Review of major approaches to analyze vulnerability in power system," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 153-172.
    2. Wang, Shuliang & Guo, Zhaoyang & Huang, Xiaodi & Zhang, Jianhua, 2024. "A three-stage model of quantifying and analyzing power network resilience based on network theory," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    3. Rocchetta, Roberto, 2022. "Enhancing the resilience of critical infrastructures: Statistical analysis of power grid spectral clustering and post-contingency vulnerability metrics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    4. Zou, Qiling & Chen, Suren, 2019. "Enhancing resilience of interdependent traffic-electric power system," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    5. Alkhaleel, Basem A., 2024. "Machine learning applications in the resilience of interdependent critical infrastructure systems—A systematic literature review," International Journal of Critical Infrastructure Protection, Elsevier, vol. 44(C).
    6. Zhou, Shenghua & Yang, Yifan & Ng, S. Thomas & Xu, J. Frank & Li, Dezhi, 2020. "Integrating data-driven and physics-based approaches to characterize failures of interdependent infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 31(C).
    7. Ouyang, Min & Pan, ZheZhe & Hong, Liu & He, Yue, 2015. "Vulnerability analysis of complementary transportation systems with applications to railway and airline systems in China," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 248-257.
    8. Cui, Pengshuai & Zhu, Peidong & Wang, Ke & Xun, Peng & Xia, Zhuoqun, 2018. "Enhancing robustness of interdependent network by adding connectivity and dependence links," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 497(C), pages 185-197.
    9. Kazawa, Yui & Tsugawa, Sho, 2020. "Effectiveness of link-addition strategies for improving the robustness of both multiplex and interdependent networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    10. Suo, Weilan & Wang, Lin & Li, Jianping, 2021. "Probabilistic risk assessment for interdependent critical infrastructures: A scenario-driven dynamic stochastic model," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    11. Kong, Jingjing & Zhang, Chao & Simonovic, Slobodan P., 2021. "Optimizing the resilience of interdependent infrastructures to regional natural hazards with combined improvement measures," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    12. Samiul Hasan & Greg Foliente, 2015. "Modeling infrastructure system interdependencies and socioeconomic impacts of failure in extreme events: emerging R&D challenges," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(3), pages 2143-2168, September.
    13. Hao, Yucheng & Jia, Limin & Zio, Enrico & Wang, Yanhui & Small, Michael & Li, Man, 2023. "Improving resilience of high-speed train by optimizing repair strategies," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    14. Ahmadi, Somayeh & Saboohi, Yadollah & Vakili, Ali, 2021. "Frameworks, quantitative indicators, characters, and modeling approaches to analysis of energy system resilience: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    15. Xu, Peng-Cheng & Lu, Qing-Chang & Xie, Chi & Cheong, Taesu, 2024. "Modeling the resilience of interdependent networks: The role of function dependency in metro and bus systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    16. Zio, Enrico, 2016. "Challenges in the vulnerability and risk analysis of critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 137-150.
    17. Li, Qing & Li, Mingchu & Gong, Zhongqiang & Tian, Yuan & Zhang, Runfa, 2022. "Locating and protecting interdependent facilities to hedge against multiple non-cooperative limited choice attackers," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    18. Rachunok, Benjamin & Nateghi, Roshanak, 2020. "The sensitivity of electric power infrastructure resilience to the spatial distribution of disaster impacts," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    19. Jiang, Zhong-Yuan & Zeng, Yong & Liu, Zhi-Hong & Ma, Jian-Feng, 2019. "Identifying critical nodes’ group in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 121-132.
    20. Rehak, David & Senovsky, Pavel & Hromada, Martin & Lovecek, Tomas & Novotny, Petr, 2018. "Cascading Impact Assessment in a Critical Infrastructure System," International Journal of Critical Infrastructure Protection, Elsevier, vol. 22(C), pages 125-138.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:207:y:2021:i:c:s0951832020308085. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.