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A multi-source power grid's resilience enhancement strategy based on subnet division and power dispatch

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  • Wang, Shuliang
  • Dong, Qiqi

Abstract

A resilience enhancement strategy based on subnetting is proposed to improve the robustness and repair ability of multi-source power grids. Firstly, based on the characteristics of renewable energy and the principle of cascading failure, the network is divided into multiple stable and sustainable subnets by using the power flow data and island operation conditions in the system, and the key nodes in the subnet are identified by the index of interval electrical betweenness. Considering the three stages of the resilience cycle, the nodes that should be protected or repaired are determined at each time scale, and four different attack and repair strategies are established on this basis. To verify the effectiveness of the proposed method, the robustness and resilience of power networks with and without renewable energy are evaluated from different perspectives, and the impact of this method on improving network resilience is quantitatively evaluated. Finally, the improved IEEE 118-bus system is simulated. The results show that the attack and repair strategies based on subnetting have significant effects on both multi-source power grids and traditional power grids. The resilience enhancement method proposed in this paper can identify grid weaknesses and formulate repair measures that can provide support for improving the defense and resilience of the power grid.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:ijocip:v:41:y:2023:i:c:s187454822300015x
    DOI: 10.1016/j.ijcip.2023.100602
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    1. Wu, Di & Ma, Feng & Javadi, Milad & Thulasiraman, Krishnaiya & Bompard, Ettore & Jiang, John N., 2017. "A study of the impacts of flow direction and electrical constraints on vulnerability assessment of power grid using electrical betweenness measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 295-309.
    2. Gupta, Naveen & Singh, Anurag & Cherifi, Hocine, 2016. "Centrality measures for networks with community structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 452(C), pages 46-59.
    3. Mirko Signorelli & Luisa Cutillo, 2022. "On community structure validation in real networks," Computational Statistics, Springer, vol. 37(3), pages 1165-1183, July.
    4. Faramondi, Luca & Oliva, Gabriele & Setola, Roberto, 2020. "Multi-criteria node criticality assessment framework for critical infrastructure networks," International Journal of Critical Infrastructure Protection, Elsevier, vol. 28(C).
    5. Li, Jian & Shi, Congling & Chen, Changkun & Dueñas-Osorio, Leonardo, 2018. "A cascading failure model based on AC optimal power flow: Case study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 313-323.
    6. 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).
    7. Renjian Lyu & Min Zhang & Xiao-Juan Wang & Tie-Jun Wang, 2022. "Recovery strategy of multilayer network against cascading failure," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 33(03), pages 1-18, March.
    8. Li, Ruiying & Gao, Ying, 2022. "On the component resilience importance measures for infrastructure systems," International Journal of Critical Infrastructure Protection, Elsevier, vol. 36(C).
    9. Bin Wang & Wanghao Guan & Yuxuan Sheng & Jinfang Sheng & Jinying Dai & Junkai Zhang & Qiong Li & Qiangqiang Dong & Long Chen, 2021. "A novel measure for influence nodes across complex networks based on node attraction," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 32(01), pages 1-19, January.
    10. 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.
    11. Li, Kaiwen & Liu, Kai & Wang, Ming, 2021. "Robustness of the Chinese power grid to cascading failures under attack and defense strategies," International Journal of Critical Infrastructure Protection, Elsevier, vol. 33(C).
    12. Prasan Ratnayake & Sugandima Weragoda & Janaka Wansapura & Dharshana Kasthurirathna & Mahendra Piraveenan, 2021. "Quantifying the Robustness of Complex Networks with Heterogeneous Nodes," Mathematics, MDPI, vol. 9(21), pages 1-20, November.
    13. Lijun Fan & Zhongyuan Jiang & Qiang Wang, 2021. "Robustness evaluation for real traffic network from complex network perspective," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 32(08), pages 1-17, August.
    14. Jufri, Fauzan Hanif & Widiputra, Victor & Jung, Jaesung, 2019. "State-of-the-art review on power grid resilience to extreme weather events: Definitions, frameworks, quantitative assessment methodologies, and enhancement strategies," Applied Energy, Elsevier, vol. 239(C), pages 1049-1065.
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