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A Robust Formulation Model for Multi-Period Failure Restoration Problems in Integrated Energy Systems

Author

Listed:
  • Wei Chen

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Xiansi Lou

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Chuangxin Guo

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

Abstract

The risks faced by modern energy systems are increasing, primarily caused by natural disasters. As a new form of multi-level energy complimentary utilization, integrated energy systems are attracting more and more attention for their high-efficiency and low-cost. However, due to the deep coupling relationship between systems, they are more susceptible to natural disasters, resulting in a cascading failure. To enhance the resilience of the integrated electricity-gas system, this paper proposes a failure restoration strategy after a natural disaster occurs. First, the temporal constraints of the dispatching model are considered, and the failure restoration problem is molded into a multi-period mixed-integer linear programme, aiming to recover the interrupted loads as much as possible. Second, since the uncertain output of distributed generation sources (DGs) such as wind turbines and photovoltaic systems will threat the reliability of restoration results, the robust formulation model is incorporated to cope with this problem. Third, we propose a new modeling method for radial topology constraints towards failure restoration. Moreover, the Column and Constraints Generation (C&CG) decomposition method is utilized to solve the robust model. Then, the piecewise linearization technique and the linear DistFlow equations are utilized to eliminate the nonlinear terms, providing a model that could be easily solved by an off-shelf commercial solver. The obtained results include the sequence of line/pipeline switchgear actions, the time-series dispatching results of electricity storage system, gas storage system, and the coupling devices including the gas-fired turbine, power to gas equipment. Finally, the effectiveness of the proposed restoration strategy is verified by numerical simulation on a 13-6 node integrated energy system.

Suggested Citation

  • Wei Chen & Xiansi Lou & Chuangxin Guo, 2019. "A Robust Formulation Model for Multi-Period Failure Restoration Problems in Integrated Energy Systems," Energies, MDPI, vol. 12(19), pages 1-23, September.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:19:p:3673-:d:270746
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    References listed on IDEAS

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    1. Zeng, Qing & Fang, Jiakun & Li, Jinghua & Chen, Zhe, 2016. "Steady-state analysis of the integrated natural gas and electric power system with bi-directional energy conversion," Applied Energy, Elsevier, vol. 184(C), pages 1483-1492.
    2. 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).
    3. Lei, Yunkai & Hou, Kai & Wang, Yue & Jia, Hongjie & Zhang, Pei & Mu, Yunfei & Jin, Xiaolong & Sui, Bingyan, 2018. "A new reliability assessment approach for integrated energy systems: Using hierarchical decoupling optimization framework and impact-increment based state enumeration method," Applied Energy, Elsevier, vol. 210(C), pages 1237-1250.
    4. Widl, Edmund & Jacobs, Tobias & Schwabeneder, Daniel & Nicolas, Sebastien & Basciotti, Daniele & Henein, Sawsan & Noh, Tae-Gil & Terreros, Olatz & Schuelke, Anett & Auer, Hans, 2018. "Studying the potential of multi-carrier energy distribution grids: A holistic approach," Energy, Elsevier, vol. 153(C), pages 519-529.
    5. Li, Gengfeng & Bie, Zhaohong & Kou, Yu & Jiang, Jiangfeng & Bettinelli, Mattia, 2016. "Reliability evaluation of integrated energy systems based on smart agent communication," Applied Energy, Elsevier, vol. 167(C), pages 397-406.
    6. 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.
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