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Resilience-based restoration strategy optimization for interdependent gas and power networks

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  • Sang, Maosheng
  • Ding, Yi
  • Bao, Minglei
  • Li, Siying
  • Ye, Chengjin
  • Fang, Youtong

Abstract

The ever-increasing interdependencies of gas and power transmission networks have made it possible for disruptions in one subnetwork to permeate to the connected ones and trigger widespread blackouts. One of the most critical issues is to restore the interdependent gas and power networks (IGPNs) to normal operation as soon as possible after complete blackouts. The interdependencies of gas and power networks, together with different operating characteristics bring about additional complexities to the formulation of restoration schemes. As a necessary and challenging task, restoration strategy optimization for IGPNs is tackled in this paper. Firstly, system functionality metrics are defined to characterize the real-time performance level, then resilience metrics are developed by capturing recovery features of system functionality. Secondly, the restoration sequence optimization model is developed to determine the restoration sequence of failed components to maximize resilience, in which restoration characteristics in terms of repair modes, repair time, and recovery costs are considered. To relieve the computational burden, the skeleton-network reconfiguration model is proposed to determine critical components to restore within limited resources. Moreover, linearization methods are utilized to transform models into mixed-integer linear programming problems. The results in test cases not only illustrate the effectiveness of the proposed approach to enhance the system resilience, but also illustrate the impacts of resources, crews, and repair modes on resilience, which help system operators to constitute restoration strategies quickly and develop resilience enhancement measures.

Suggested Citation

  • Sang, Maosheng & Ding, Yi & Bao, Minglei & Li, Siying & Ye, Chengjin & Fang, Youtong, 2021. "Resilience-based restoration strategy optimization for interdependent gas and power networks," Applied Energy, Elsevier, vol. 302(C).
    • Handle: RePEc:eee:appene:v:302:y:2021:i:c:s0306261921009387
    DOI: 10.1016/j.apenergy.2021.117560
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    as
    1. Ouyang, Min & Wang, Zhenghua, 2015. "Resilience assessment of interdependent infrastructure systems: With a focus on joint restoration modeling and analysis," Reliability Engineering and System Safety, Elsevier, vol. 141(C), pages 74-82.
    2. Mehrjerdi, Hasan & Mahdavi, Sajad & Hemmati, Reza, 2021. "Resilience maximization through mobile battery storage and diesel DG in integrated electrical and heating networks," Energy, Elsevier, vol. 237(C).
    3. Kia, Mohsen & Setayesh Nazar, Mehrdad & Sepasian, Mohammad Sadegh & Heidari, Alireza & Siano, Pierluigi, 2017. "An efficient linear model for optimal day ahead scheduling of CHP units in active distribution networks considering load commitment programs," Energy, Elsevier, vol. 139(C), pages 798-817.
    4. Beyza, Jesus & Ruiz-Paredes, Hector F. & Garcia-Paricio, Eduardo & Yusta, Jose M., 2020. "Assessing the criticality of interdependent power and gas systems using complex networks and load flow techniques," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    5. Jingjing Kong & Slobodan P. Simonovic & Chao Zhang, 2019. "Resilience Assessment of Interdependent Infrastructure Systems: A Case Study Based on Different Response Strategies," Sustainability, MDPI, vol. 11(23), pages 1-31, November.
    6. Cadini, Francesco & Agliardi, Gian Luca & Zio, Enrico, 2017. "A modeling and simulation framework for the reliability/availability assessment of a power transmission grid subject to cascading failures under extreme weather conditions," Applied Energy, Elsevier, vol. 185(P1), pages 267-279.
    7. Liao, Shiwu & Yao, Wei & Han, Xingning & Fang, Jiakun & Ai, Xiaomeng & Wen, Jinyu & He, Haibo, 2019. "An improved two-stage optimization for network and load recovery during power system restoration," Applied Energy, Elsevier, vol. 249(C), pages 265-275.
    8. Moslehi, Salim & Reddy, T. Agami, 2018. "Sustainability of integrated energy systems: A performance-based resilience assessment methodology," Applied Energy, Elsevier, vol. 228(C), pages 487-498.
    9. Bao, Minglei & Ding, Yi & Sang, Maosheng & Li, Daqing & Shao, Changzheng & Yan, Jinyue, 2020. "Modeling and evaluating nodal resilience of multi-energy systems under windstorms," Applied Energy, Elsevier, vol. 270(C).
    10. DE WOLF, Daniel & SMEERS, Yves, 2000. "The gas transmission problem solved by an extension of the simplex algorithm," LIDAM Reprints CORE 1489, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    11. Daniel De Wolf & Yves Smeers, 2000. "The Gas Transmission Problem Solved by an Extension of the Simplex Algorithm," Management Science, INFORMS, vol. 46(11), pages 1454-1465, November.
    12. 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.
    13. Goldbeck, Nils & Angeloudis, Panagiotis & Ochieng, Washington Y., 2019. "Resilience assessment for interdependent urban infrastructure systems using dynamic network flow models," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 62-79.
    Full references (including those not matched with items on IDEAS)

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