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Risk Assessment of a Coupled Natural Gas and Electricity Market Considering Dual Interactions: A System Dynamics Model

Author

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  • Lin Wang

    (Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China)

  • Yuping Xing

    (Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China)

Abstract

Because reliance on gas for electricity generation rises over time, the natural gas and electricity markets are highly connected. However, both of them are susceptible to various risk factors that endanger energy security. The intricate interactions among multiple risks and between the two markets render risk assessment more challenging than for individual markets. Taking a systematic perspective, this study first undertook a thorough analysis of the evolution mechanism that indicated the key risk factors and dual interactions, with real-world illustrative examples. Subsequently, a system dynamics model was constructed for understanding the causal feedback structures embedded in the operation of a coupled natural gas–electricity market in the face of risks. Quantitative experiments were conducted by using data from China’s Energy Statistical Yearbook, China’s Statistical Yearbook and other reliable sources to assess the effects of individual risks, depict the evolutionary behavior of coupled markets and compare the risk response strategies. The findings revealed the evolution of dominant risk factors and the aggregated effects of multiple risks in multiple markets, suggesting the need to comprehensively monitor dynamic risks. Moreover, risk factors can propagate from one market to another via interactions, yet it depends on multiple aspects such as the severity of the risk and the intensity of the interactions. Demand compression and emergency natural gas supply behave differently throughout the market’s recovery, necessitating a balance between short-term and long-term risk response strategies.

Suggested Citation

  • Lin Wang & Yuping Xing, 2022. "Risk Assessment of a Coupled Natural Gas and Electricity Market Considering Dual Interactions: A System Dynamics Model," Energies, MDPI, vol. 16(1), pages 1-18, December.
    • Handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:223-:d:1014458
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    References listed on IDEAS

    as
    1. Chen, Qian & Zuo, Lili & Wu, Changchun & Cao, Yankai & Bu, Yaran & Chen, Feng & Sadiq, Rehan, 2021. "Supply reliability assessment of a gas pipeline network under stochastic demands," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    2. Ordoudis, Christos & Pinson, Pierre & Morales, Juan M., 2019. "An Integrated Market for Electricity and Natural Gas Systems with Stochastic Power Producers," European Journal of Operational Research, Elsevier, vol. 272(2), pages 642-654.
    3. Jingjing Kong & Slobodan P. Simonovic, 2019. "Probabilistic Multiple Hazard Resilience Model of an Interdependent Infrastructure System," Risk Analysis, John Wiley & Sons, vol. 39(8), pages 1843-1863, August.
    4. Suo, Weilan & Wang, Lin & Li, Jianping, 2021. "Probabilistic risk assessment for interdependent critical infrastructures: A scenario-driven dynamic stochastic model," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    5. He, Yongxiu & Jiao, Jie & Chen, Qian & Ge, Sifan & Chang, Yan & Xu, Yang, 2017. "Urban long term electricity demand forecast method based on system dynamics of the new economic normal: The case of Tianjin," Energy, Elsevier, vol. 133(C), pages 9-22.
    6. Yacov Y. Haimes, 2018. "Risk Modeling of Interdependent Complex Systems of Systems: Theory and Practice," Risk Analysis, John Wiley & Sons, vol. 38(1), pages 84-98, January.
    7. Egging, Ruud & Holz, Franziska, 2016. "Risks in global natural gas markets: Investment, hedging and trade," Energy Policy, Elsevier, vol. 94(C), pages 468-479.
    8. V M Rao Tummala & C L Mak, 2001. "A risk management model for improving operation and maintenance activities in electricity transmission networks," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(2), pages 125-134, February.
    9. Ding, Yueting & Chen, Sai & Zheng, Yilei & Chai, Shanglei & Nie, Rui, 2022. "Resilience assessment of China's natural gas system under supply shortages: A system dynamics approach," Energy, Elsevier, vol. 247(C).
    10. Magdalena Wójcik-Jurkiewicz & Marzena Czarnecka & Grzegorz Kinelski & Beata Sadowska & Katarzyna Bilińska-Reformat, 2021. "Determinants of Decarbonisation in the Transformation of the Energy Sector: The Case of Poland," Energies, MDPI, vol. 14(5), pages 1-22, February.
    11. Chen, Zhihua & An, Haizhong & An, Feng & Guan, Qing & Hao, Xiaoqing, 2018. "Structural risk evaluation of global gas trade by a network-based dynamics simulation model," Energy, Elsevier, vol. 159(C), pages 457-471.
    12. 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).
    13. Cabalu, Helen, 2010. "Indicators of security of natural gas supply in Asia," Energy Policy, Elsevier, vol. 38(1), pages 218-225, January.
    14. Tian, Ruijie & Zhang, Qi & Wang, Ge & Li, Hailong & Chen, Siyuan & Li, Yan & Tian, Yulu, 2017. "Study on the promotion of natural gas-fired electricity with energy market reform in China using a dynamic game-theoretic model," Applied Energy, Elsevier, vol. 185(P2), pages 1832-1839.
    15. Liu, Aihua & Chen, Ke & Huang, Xiaofei & Li, Didi & Zhang, Xiaochun, 2021. "Dynamic risk assessment model of buried gas pipelines based on system dynamics," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    16. Yana Duan & Yang Sun & Yu Zhang & Xiaoqi Fan & Qinghuan Dong & Sen Guo, 2021. "Risk Evaluation of Electric Power Grid Investment in China Employing a Hybrid Novel MCDM Method," Mathematics, MDPI, vol. 9(5), pages 1-22, February.
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    Cited by:

    1. Mengyang Chen & Nan Li & Hailin Mu, 2024. "Assessing Risks on China’s Natural Gas Supply under Carbon Peaking Policies from Foreign–Domestic Perspectives," Energies, MDPI, vol. 17(4), pages 1-20, February.
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    3. Yan Lu & Jing Xiang & Pengyun Geng & Huimin Zhang & Lili Liu & Haoran Wang & Jiajie Kong & Mingli Cui & Yan Li & Cheng Zhong & Tiantian Feng, 2023. "Coupling Mechanism and Synergic Development of Carbon Market and Electricity Market in the Region of Beijing–Tianjin–Hebei," Energies, MDPI, vol. 16(4), pages 1-22, February.

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