IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i12p5666-d1683145.html
   My bibliography  Save this article

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 1-25, June.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:12:p:5666-:d:1683145
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/12/5666/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/17/12/5666/
    Download Restriction: no
    ---><---

    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:gam:jsusta:v:17:y:2025:i:12:p:5666-:d:1683145. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.