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Enhancing Resilience by Reducing Critical Load Loss via an Emergent Trading Framework Considering Possible Resources Isolation Under Typhoon
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  • Yingjun Wu,
  • Chengjun Liu,
  • Zhiwei Lin,
  • Yingtao Ru,
  • Tao Huang
Yingjun Wu
Hohai University

Corresponding Author:[email protected]

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Chengjun Liu
Hohai University
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Zhiwei Lin
Hohai University
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Yingtao Ru
Hohai University
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Tao Huang
Politecnico di Torino
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Natural disasters have posed great challenges to the power system in recent years. This paper proposes an emergent trading framework that uses parking lots as resources to provide power support to critical loads in a blackout due to typhoon. Firstly, a distribution line fault model under typhoon is established to create possible fault scenarios with the typhoon trajectory data. Subsequently, an evolutionary Stackelberg game-based trading model is proposed to maximize all stakeholders' economic benefits while reducing the critical load loss for all chosen scenarios, leading to enhanced system resilience. At the same time, a benefit allocation mechanism and free-riding penalty are incorporated in the framework to motivate players' participation while limiting the negative effect of free-riders. Further, an iterative evolutionary-Stackelberg solution set-up is applied to obtain the equilibria of the proposed framework. Finally, a modified IEEE 69-bus system is used to illustrate and validate the proposed framework.
05 Feb 2023Submitted to IET Generation, Transmission & Distribution
08 Feb 2023Submission Checks Completed
08 Feb 2023Assigned to Editor
27 Feb 2023Reviewer(s) Assigned
31 Mar 2023Review(s) Completed, Editorial Evaluation Pending
12 Apr 2023Editorial Decision: Revise Major
10 May 20231st Revision Received
11 May 2023Submission Checks Completed
11 May 2023Assigned to Editor
11 May 2023Reviewer(s) Assigned
25 May 2023Review(s) Completed, Editorial Evaluation Pending
25 May 2023Editorial Decision: Accept