Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Waseem, Muhammad, Soofi, Arash F., Manshadi, Saeed D.
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2408.15774
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866913019829682176
author Waseem, Muhammad
Soofi, Arash F.
Manshadi, Saeed D.
author_facet Waseem, Muhammad
Soofi, Arash F.
Manshadi, Saeed D.
contents Wildfires and other extreme weather conditions due to climate change are stressing the aging electrical infrastructure. Power utilities have implemented public safety power shutoffs as a method to mitigate the risk of wildfire by proactively de-energizing some power lines, which leaves customers without power. System operators have to make a compromise between de-energizing of power lines to avoid the wildfire risk and energizing those lines to serve the demand. In this work, with a quantified wildfire ignition risk of each line, a resilient operation problem is presented in power systems with a high penetration level of renewable generation resources. A two-stage robust optimization problem is formulated and solved using column-and-constraint generation algorithm to find improved balance between the de-energization of power lines and the customers served. Different penetration levels of renewable generation to mitigate the impact of extreme fire hazard situations on the energization of customers is assessed. The validity of the presented robust optimization algorithm is demonstrated on various test cases.
format Preprint
id arxiv_https___arxiv_org_abs_2408_15774
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Risk-Averse Resilient Operation of Electricity Grid Under the Risk of Wildfire
Waseem, Muhammad
Soofi, Arash F.
Manshadi, Saeed D.
Systems and Control
Wildfires and other extreme weather conditions due to climate change are stressing the aging electrical infrastructure. Power utilities have implemented public safety power shutoffs as a method to mitigate the risk of wildfire by proactively de-energizing some power lines, which leaves customers without power. System operators have to make a compromise between de-energizing of power lines to avoid the wildfire risk and energizing those lines to serve the demand. In this work, with a quantified wildfire ignition risk of each line, a resilient operation problem is presented in power systems with a high penetration level of renewable generation resources. A two-stage robust optimization problem is formulated and solved using column-and-constraint generation algorithm to find improved balance between the de-energization of power lines and the customers served. Different penetration levels of renewable generation to mitigate the impact of extreme fire hazard situations on the energization of customers is assessed. The validity of the presented robust optimization algorithm is demonstrated on various test cases.
title Risk-Averse Resilient Operation of Electricity Grid Under the Risk of Wildfire
topic Systems and Control
url https://arxiv.org/abs/2408.15774