XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Amirioun M H, Dadashzadeh A, mottaghizadeh M, Aminifar F, Abniki H. Prioritizing Resilience Enhancement Measures for Electric Distribution Networks Against Hurricanes. Journal of Iranian Association of Electrical and Electronics Engineers 2022; 19 (4) :213-221
URL: http://jiaeee.com/article-1-1274-en.html
Abstract:   (1614 Views)
In recent years, climate change and increasing occurrence rate of high-impact rare (HR) natural events such as hurricanes have made it difficult to supply uninterrupted power to end-user customers. The extensive geographic area of electric distribution networks, as the last ring of the energy supply chain in power systems, has increased the vulnerability of these networks against natural events. Thus, distribution companies are inevitably inclined to implement some measures to improve the resilience of the associated network. Considering budget limitations, adopting optimal measures among a set of candidate solutions is a major challenge for distribution networks. A new method is presented in this paper to prioritize the resilience enhancement measures for distribution networks. In this regard, a set of candidate measures is first defined so as to improve the resilience of the distribution network against an HR event. Then, the candidate measures are ranked by the benefit to cost ratio (BCR) index which is calculated by dividing the relative resilience improvement to relative implementation cost for each measure. The proposed method was examined on the IEEE 33-bus test distribution network using MATLAB software. Numerical results verified the efficacy of the proposed method.
Full-Text [PDF 856 kb]   (1082 Downloads)    
Type of Article: Research | Subject: Power
Received: 2021/02/24 | Accepted: 2021/07/12 | Published: 2022/10/28

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This Journal is an open access Journal Licensed under the Creative Commons Attribution-NonCommercial 4.0 International License. (CC BY NC 4.0)

© 2024 CC BY-NC 4.0 | Journal of Iranian Association of Electrical and Electronics Engineers

Designed & Developed by : Yektaweb