A comprehensive review and comparison of the fragility curves used for resilience assessments in power systems

A Serrano-Fontova, H Li, Z Liao, MR Jamieson… - IEEE …, 2023 - ieeexplore.ieee.org
Over the years, power systems have been severely affected by extreme events. This
situation has worsened given that climate change has proven to exacerbate their frequency …

On machine learning-based techniques for future sustainable and resilient energy systems

J Wang, P Pinson, S Chatzivasileiadis… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Permanently increasing penetration of converter-interfaced generation and renewable
energy sources (RESs) makes modern electrical power systems more vulnerable to low …

Two-stage seismic resilience enhancement of electrical distribution systems

MH Oboudi, M Mohammadi - Reliability Engineering & System Safety, 2024 - Elsevier
Recent natural disasters have caused significant damage to electrical distribution systems,
revealing the necessity to enhance distribution system resilience. This paper proposes a two …

Fragility Modeling of Power Grid Infrastructure for Addressing Climate Change Risks and Adaptation

G Karagiannakis, M Panteli… - Wiley Interdisciplinary …, 2024 - Wiley Online Library
The resilience of electric power grids is threatened by natural hazards. Climate‐related
hazards are becoming more frequent and intense due to climate change. Statistical …

Evaluating the resilience of electrical power line outages caused by wildfires

HR Sayarshad, R Ghorbanloo - Reliability Engineering & System Safety, 2023 - Elsevier
Power transmission lines are an essential component of the electricity distribution system,
responsible for transporting electricity from power plants to homes and businesses. Power …

Hierarchical combination of deep reinforcement learning and quadratic programming for distribution system restoration

MM Hosseini, L Rodriguez-Garcia… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper proposes a model for hierarchical combination of deep reinforcement learning
(DRL) with quadratic programming for distribution system restoration after major outages. In …

A hybrid physics-based and data-driven model for power distribution system infrastructure hardening and outage simulation

W Hughes, W Zhang, D Cerrai, A Bagtzoglou… - Reliability Engineering & …, 2022 - Elsevier
Power outages caused by severe storms produce enormous economic losses and societal
disruptions. Infrastructure hardening for a more resilient power grid can reduce weather …

Integrating Structural Vulnerability Analysis and Data-Driven Machine Learning to Evaluate Storm Impacts on The Power Grid

PL Watson, W Hughes, D Cerrai, W Zhang… - IEEE …, 2024 - ieeexplore.ieee.org
The complex interactions between the weather, the environment, and electrical infrastructure
that result in power outages are not fully understood, but because of the threat of climate …

Management of resilient urban integrated energy system: State-of-the-art and future directions

R Hu, K Zhou, J Yang, H Yin - Journal of Environmental Management, 2024 - Elsevier
The urban integrated energy system (UIES) is the fundamental infrastructure supporting the
operation of resilient cities. The resilience of UIES plays a critical role in effectively …

[HTML][HTML] An effective fault section location method based three-line defense scheme considering distribution systems resilience

Q Wang, Y Xiao, U Dampage, A Alkuhayli, HH Alhelou… - Energy Reports, 2022 - Elsevier
In this paper, an innovative fault section location method is introduced for enhancing the
resilience of distribution systems. After analyzing the flaws in existing section location …