Optimal Resource Allocation to Enhance Power Grid Resilience Against Hurricanes-Reference-Cited by-同舟云学术

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Optimal Resource Allocation to Enhance Power Grid Resilience Against Hurricanes

Published:2023-05 Issue:3 Volume:38 Page:2621-2629
ISSN:0885-8950
Container-title:IEEE Transactions on Power Systems
language:
Short-container-title:IEEE Trans. Power Syst.

Author:

Yang Zejun¹^ORCID,Martí Andrea²^ORCID,Chen Ying³^ORCID,Martí José R.²^ORCID

Affiliation:

1. Department of Electrical Engineering, KU Leuven, Leuven, Belgium

2. Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, Canada

3. Department of Electrical Engineering, Tsinghua University, Beijing, China

Funder

National Key Research and Development Program of China

Science and Technology Project of SGCC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

http://xplorestaging.ieee.org/ielx7/59/10107552/09837441.pdf?arnumber=9837441

Reference31 articles.

1. Stochastic Pre-hurricane Restoration Planning for Electric Power Systems Infrastructure

2. Discrete-Event Simulation and Integer Linear Programming for Constraint-Aware Resource Scheduling

3. Mobile Emergency Generator Pre-Positioning and Real-Time Allocation for Resilient Response to Natural Disasters

4. Power System Resilience Metrics Augmentation for Critical Load Prioritization

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1. A Coordinated Emergency Response Scheme for Electricity and Watershed Networks Considering Spatio-Temporal Heterogeneity and Volatility of Rainstorm Disasters;IEEE Transactions on Smart Grid;2024-07

2. AI in HVAC fault detection and diagnosis: A systematic review;Energy Reviews;2024-06

3. An Evaluation of Sustainable Power System Resilience in the Face of Severe Weather Conditions and Climate Changes: A Comprehensive Review of Current Advances;Sustainability;2024-04-06

4. Super-Node Approximation With Convex Hulls Relaxation for Distribution System Restoration Using ERRs;IEEE Access;2024

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