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Risk assessment of integrated electricity and heat system with independent energy operators based on Stackelberg game

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  • Wang, Can
  • Yan, Chao
  • Li, Gengfeng
  • Liu, Shiyu
  • Bie, Zhaohong

Abstract

The Integrated Electricity and Heat System (IEHS) is recognized as an important trend to develop a more clean and efficient energy system. As electricity and heat systems of IEHS can be managed by different energy operators in practice, it is a new challenge that how to coordinate these independent operators under contingencies. This paper proposes a novel risk assessment method for IEHS with independent electricity system operator (ESO) and heat system operator (HSO) based on game theory. Firstly, we present a Stackelberg game model to coordinate the post-contingency dispatch of ESO and HSO, thereby reducing the economic loss of entire IEHS under contingencies. Then, an efficient solution algorithm of the bi-level game model is developed based on Karush-Kuhn-Tucker optimality conditions, strong duality theory and second-order cone relaxation. Furthermore, the novel risk indices are proposed to comprehensively depict the risk of entire IEHS and benefits of each operator, and the risk assessment procedures are developed based on Monte Carlo simulation. Case studies were conducted on an IEHS test case, and numerical results demonstrate the proposed method can effectively reduce both the risk of entire IEHS and the expected cost of operators.

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  • Wang, Can & Yan, Chao & Li, Gengfeng & Liu, Shiyu & Bie, Zhaohong, 2020. "Risk assessment of integrated electricity and heat system with independent energy operators based on Stackelberg game," Energy, Elsevier, vol. 198(C).
    • Handle: RePEc:eee:energy:v:198:y:2020:i:c:s0360544220304564
    DOI: 10.1016/j.energy.2020.117349
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    4. Mu, Yunfei & Wang, Congshan & Cao, Yan & Jia, Hongjie & Zhang, Qingzhu & Yu, Xiaodan, 2022. "A CVaR-based risk assessment method for park-level integrated energy system considering the uncertainties and correlation of energy prices," Energy, Elsevier, vol. 247(C).
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    6. Yongxiu He & Wei Xiong & Binyou Yang & Hai-yan Yang & Jiu-fang Zhou & Ming-li Cui & Yan Li, 2022. "Combined game model and investment decision making of power grid-distributed energy system," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 8667-8690, June.
    7. Dariusz Gołȩbiewski & Tomasz Barszcz & Wioletta Skrodzka & Igor Wojnicki & Andrzej Bielecki, 2022. "A New Approach to Risk Management in the Power Industry Based on Systems Theory," Energies, MDPI, vol. 15(23), pages 1-19, November.
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