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Operational Risk Assessment of Electric-Gas Integrated Energy Systems Considering N-1 Accidents

Author

Listed:
  • Hua Liu

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Yong Li

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Yijia Cao

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Zilong Zeng

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Denis Sidorov

    (Energy Systems Institute, Russian Academy of Sciences, 664033 Irkutsk, Russia)

Abstract

The reliability analysis method and risk assessment model for the traditional single network no longer meet the requirements of the risk analysis of coupled systems. This paper establishes a risk assessment system of electric-gas integrated energy system (EGIES) considering the risk security of components. According to the mathematical model of each component, the EGIES steady state analysis model considering the operation constraints is established to analyze the operation status of each component. Then the EGIES component accident set is established to simulate the accident consequences caused by the failure of each component to EGIES. Furthermore, EGIES risk assessment system is constructed to identify the vulnerability of EGIES components. Finally, the risk assessment of IEEE14-NG15 system is carried out. The simulation results verify the effectiveness of the proposed method.

Suggested Citation

  • Hua Liu & Yong Li & Yijia Cao & Zilong Zeng & Denis Sidorov, 2020. "Operational Risk Assessment of Electric-Gas Integrated Energy Systems Considering N-1 Accidents," Energies, MDPI, vol. 13(5), pages 1-16, March.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:5:p:1208-:d:329071
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    References listed on IDEAS

    as
    1. Abeysekera, M. & Wu, J. & Jenkins, N. & Rees, M., 2016. "Steady state analysis of gas networks with distributed injection of alternative gas," Applied Energy, Elsevier, vol. 164(C), pages 991-1002.
    2. Praks, Pavel & Kopustinskas, Vytis & Masera, Marcelo, 2015. "Probabilistic modelling of security of supply in gas networks and evaluation of new infrastructure," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 254-264.
    3. Chertkov, Michael & Backhaus, Scott & Lebedev, Vladimir, 2015. "Cascading of fluctuations in interdependent energy infrastructures: Gas-grid coupling," Applied Energy, Elsevier, vol. 160(C), pages 541-551.
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    Cited by:

    1. Li, Hang & Hou, Kai & Xu, Xiandong & Jia, Hongjie & Zhu, Lewei & Mu, Yunfei, 2022. "Probabilistic energy flow calculation for regional integrated energy system considering cross-system failures," Applied Energy, Elsevier, vol. 308(C).
    2. Denis Sidorov & Fang Liu & Yonghui Sun, 2020. "Machine Learning for Energy Systems," Energies, MDPI, vol. 13(18), pages 1-6, September.

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