A Novel Pre-Storm Island Formation Framework to Improve Distribution System Resilience Considering Tree-Caused Failures-Reference-Cited by-同舟云学术

A Novel Pre-Storm Island Formation Framework to Improve Distribution System Resilience Considering Tree-Caused Failures

Published:2022 Issue: Volume:10 Page:60707-60724
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Bahrami Mahdi¹^ORCID,Vakilian Mehdi¹^ORCID,Farzin Hossein²^ORCID,Lehtonen Matti³^ORCID

Affiliation:

1. Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran

2. Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran

3. Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland

Funder

Iran National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09787493.pdf?arnumber=9787493

Reference59 articles.

1. Interspecific variation in susceptibility to windthrow as a function of tree size and storm severity for northern temperate tree species

2. Analysis of the probability of failure for open-grown trees during wind storms

3. Optimal Distribution System Operation for Enhancing Resilience Against Wildfires

4. Hurricane Isabel and the forests of the mid-Atlantic Piedmont and blue ridge: Short-term impacts and long-term implications;boucher;Hurricane Isabel in Perspective Conference,2005

5. Resilience Enhancement Strategy for Distribution Systems Under Extreme Weather Events

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Technological advancements and innovations in enhancing resilience of electrical distribution systems;International Journal of Critical Infrastructure Protection;2024-09

2. Resilience-oriented placement of multi-carrier microgrids in power systems with switchable transmission lines;International Journal of Hydrogen Energy;2024-01

3. Industrial energy hubs with electric, thermal and hydrogen demands for resilience enhancement of mobile storage-integrated power systems;International Journal of Hydrogen Energy;2024-01

4. ML-DPIE: comparative evaluation of machine learning methods for drought parameter index estimation: a case study of Türkiye;Natural Hazards;2023-10-16

5. A CVaR-based stochastic framework for storm-resilient grid, including bus charging stations;Sustainable Energy, Grids and Networks;2023-09