Enhancing Resilience by Reducing Critical Load Loss via an Emergent
Trading Framework Considering Possible Resources Isolation Under Typhoon
- Yingjun Wu,
- Chengjun Liu,
- Zhiwei Lin,
- Yingtao Ru,
- Tao Huang
Yingjun Wu
Hohai University
Corresponding Author:yingjunwu@hotmail.com
Author ProfileAbstract
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