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Enhancing resilience by reducing critical load loss via an emergent trading framework considering possible resources isolation under typhoon

Authors :
Yingjun Wu
Chengjun Liu
Zhiwei Lin
Yingtao Ru
Tao Huang
Source :
IET Generation, Transmission & Distribution, Vol 17, Iss 14, Pp 3184-3197 (2023)
Publication Year :
2023
Publisher :
Wiley, 2023.

Abstract

Abstract Leveraging distributed resources to enhance distribution network (DN) resilience is an effective measure in response to natural disasters. However, the willingness and economy of distributed resources are typically ignored. To address this issue, this paper proposes an emergent trading framework that uses parking lots (PLs) as resources to provide power support to critical loads (CLs) in a blackout due to typhoons. In this trading framework, an evolutionary Stackelberg game‐based trading model is established to consider maximizing all stakeholders’ economic benefits, considering possible resources isolation under typical fault scenarios caused by typhoons, and a benefit allocation mechanism is proposed for all stakeholders to motivate all stakeholders to participate in the trading. This framework allows that critical loads could reduce their load loss, parking lots could receive adequate compensation to stimulate them to participate in the trading, and distribution utility could ensure its economic benefits. Furthermore, an iterative evolutionary‐Stackelberg solution set‐up is applied to obtain the equilibria of the proposed framework. Simulation results on the modified IEEE 69‐bus test system and IEEE 123‐bus test system reveal the validity of the proposed method.

Details

Language :
English
ISSN :
17518695 and 17518687
Volume :
17
Issue :
14
Database :
Directory of Open Access Journals
Journal :
IET Generation, Transmission & Distribution
Publication Type :
Academic Journal
Accession number :
edsdoj.80a72312a13f4b76aa1705a261096445
Document Type :
article
Full Text :
https://doi.org/10.1049/gtd2.12888