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Influence Graph-Based Method for Sustainable Energy Systems

Author

Listed:
  • Nof Yasir

    (Department of Electrical and Computer Engineering, North Dakota State University, Fargo, ND 58102, USA)

  • Ying Huang

    (Department of Civil, Construction, and Environmental Engineering, North Dakota State University, Fargo, ND 58102, USA)

  • Di Wu

    (Department of Electrical and Computer Engineering, North Dakota State University, Fargo, ND 58102, USA)

Abstract

To reduce carbon emissions from fossil fuel generators in sustainable energy systems, an option is increasing the integration of gas-fired generators into the power system. The increasing reliance on natural gas for electricity generation has strengthened the interdependence between the electric power network and the natural gas infrastructure within the Integrated Power and Gas System (IPGS). This strengthened interdependence increases the risk that disruptions originating in one system may propagate to the other, potentially leading to extensive cascading failures throughout the IPGS. Ensuring the reliability of critical energy infrastructure is vital for sustainable development. This paper proposes a vulnerability assessment method for the IPGS using an influence graph, which can be formulated based on fault chain theory to capture the interactions among failed components in the IPGS. With the influence graph, eigenvector centrality is used to pinpoint the critical components in the IPGS. The proposed methodology is validated using 39-bus 29-node IPGS through the Scenario Analysis Interface for Energy Systems (SAInt) software version 3.5.17.7. Results show that the proposed method has effectively identified the most critical branches in the IPGS, which play a key role in initiating cascading failures. These insights contribute to enhancing the resilience and sustainability of interconnected energy systems.

Suggested Citation

  • Nof Yasir & Ying Huang & Di Wu, 2025. "Influence Graph-Based Method for Sustainable Energy Systems," Sustainability, MDPI, vol. 17(12), pages 1-24, June.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:12:p:5666-:d:1683145
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    References listed on IDEAS

    as
    1. You Zhou & Chuan He, 2022. "A Review on Reliability of Integrated Electricity-Gas System," Energies, MDPI, vol. 15(18), pages 1-22, September.
    2. Banghua Xie & Changfan Li & Zili Wu & Weiming Chen, 2021. "Topological Modeling Research on the Functional Vulnerability of Power Grid under Extreme Weather," Energies, MDPI, vol. 14(16), pages 1-27, August.
    3. Jiajia Li & Jinfu Liu & Peigang Yan & Xingshuo Li & Guowen Zhou & Daren Yu, 2021. "Operation Optimization of Integrated Energy System under a Renewable Energy Dominated Future Scene Considering Both Independence and Benefit: A Review," Energies, MDPI, vol. 14(4), pages 1-36, February.
    4. Qin, Chun & Wang, Linqing & Han, Zhongyang & Zhao, Jun & Liu, Quanli, 2021. "Weighted directed graph based matrix modeling of integrated energy systems," Energy, Elsevier, vol. 214(C).
    5. Espejo, Rafael & Lumbreras, Sara & Ramos, Andres, 2018. "Analysis of transmission-power-grid topology and scalability, the European case study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 383-395.
    6. Chopade, Pravin & Bikdash, Marwan, 2016. "New centrality measures for assessing smart grid vulnerabilities and predicting brownouts and blackouts," International Journal of Critical Infrastructure Protection, Elsevier, vol. 12(C), pages 29-45.
    7. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S., 2018. "State-of-the-art generation expansion planning: A review," Applied Energy, Elsevier, vol. 230(C), pages 563-589.
    8. Brouwer, Anne Sjoerd & van den Broek, Machteld & Seebregts, Ad & Faaij, André, 2015. "Operational flexibility and economics of power plants in future low-carbon power systems," Applied Energy, Elsevier, vol. 156(C), pages 107-128.
    9. Pradhan, Priodyuti & C.U., Angeliya & Jalan, Sarika, 2020. "Principal eigenvector localization and centrality in networks: Revisited," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
    10. Masoud Khatibi & Abbas Rabiee & Amir Bagheri, 2023. "Integrated Electricity and Gas Systems Planning: New Opportunities, and a Detailed Assessment of Relevant Issues," Sustainability, MDPI, vol. 15(8), pages 1-32, April.
    11. Zhao, Yixin & Cai, Baoping & Cozzani, Valerio & Liu, Yiliu, 2025. "Failure dependence and cascading failures: A literature review and research opportunities," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
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