Non-Stationary Random Process for Large-Scale Failure and Recovery of Power Distribution

Applied Mathematics

ISSN Print: 2152-7385
ISSN Online: 2152-7393
www.scirp.net/journal/am
E-mail: [email protected]

Citations

"Non-Stationary Random Process for Large-Scale Failure and Recovery of Power Distribution"
written by Yun Wei, Chuanyi Ji, Floyd Galvan, Stephen Couvillon, George Orellana, James Momoh,
published by Applied Mathematics, Vol.7 No.3, 2016

has been cited by the following article(s):

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CrossRef

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[2]	Resilience metrics: Assessment of distribution systems performance
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[3]	Analyzing Cascading Failures and Blackouts Using Utility Outage Data
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[4]	Models, metrics, and their formulas for typical electric power system resilience events
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[5]	Community power outage prediction modeling for the Eastern United States
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[6]	Towards using utility data to quantify how investments would have increased the wind resilience of distribution systems
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[7]	Improved quantitative prediction of power outages caused by extreme weather events
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[8]	How long is a resilience event in a transmission system?: Metrics and models driven by utility data
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[9]	Quantitative analysis of power systems resilience: Standardization, categorizations, and challenges
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[10]	Extracting Resilience Statistics from Utility Data in Distribution Grids
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[11]	Weather‐related power outage model with a growing domain: structure, performance, and generalisability
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[12]	Weather-related power outage model with a growing domain: structure, performance, and generalisability
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[13]	Extracting resilience metrics from distribution utility data using outage and restore process statistics
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[14]	Energy Resiliency and Microgrids
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[15]	A time-dependent model of generator failures and recoveries captures correlated events and quantifies temperature dependence
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[16]	Microgrids with Energy Storage Systems as a Means to Increase Power Resilience: An Application to Office Buildings
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[17]	Adaptive and Restorative Capacity Planning for Complex Infrastructure Networks: Optimization Algorithms and Applications
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[18]	Adaptive Capacity Planning Formulation for Infrastructure Networks
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[19]	Resilience of Energy Infrastructure and Services: Modeling, Data Analytics, and Metrics
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[20]	Resilience of Energy Infrastructure and Services: Modeling, Data Analytics and Metrics
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[21]	Quantitative Model and Metrics of Electrical Grids' Resilience Evaluated at a Power Distribution Level
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[1]	Resiliency metrics quantifying emergency response in a distribution system 2025 IEEE Power & Energy Society General Meeting (PESGM), 2025 DOI:10.1109/PESGM52009.2025.11225484

[2]	Cascading Failures in Power Grids Power Electronics and Power Systems, 2024 DOI:10.1007/978-3-031-48000-3_2

[3]	How Long is a Resilience Event in a Transmission System?: Metrics and Models Driven by Utility Data IEEE Transactions on Power Systems, 2024 DOI:10.1109/TPWRS.2023.3292328

[4]	Increasing the resilience of the Texas power grid against extreme storms by hardening critical lines Nature Energy, 2024 DOI:10.1038/s41560-023-01434-1

[5]	Towards Using Utility Data to Quantify How Investments Would Have Increased the Wind Resilience of Distribution Systems IEEE Transactions on Power Systems, 2024 DOI:10.1109/TPWRS.2023.3342729

[6]	A Data-Driven Decision Support Tool for Anticipating Tropical Storm Impacts to the United States Power Grid IEEE Access, 2024 DOI:10.1109/ACCESS.2024.3442768

[7]	Energy System Resilience and Distributed Generation Power Systems, 2024 DOI:10.1007/978-3-031-67754-0_9

[8]	Resilience Analysis of Distribution Networks to Extreme Weather Events Using Monte Carlo Simulation 2024 IEEE 22nd Student Conference on Research and Development (SCOReD), 2024 DOI:10.1109/SCOReD64708.2024.10872720

[9]	Models, Metrics, and Their Formulas for Typical Electric Power System Resilience Events IEEE Transactions on Power Systems, 2023 DOI:10.1109/TPWRS.2023.3300125

[10]	Improved quantitative prediction of power outages caused by extreme weather events Weather and Climate Extremes, 2022 DOI:10.1016/j.wace.2022.100487

[11]	Extracting Resilience Metrics From Distribution Utility Data Using Outage and Restore Process Statistics IEEE Transactions on Power Systems, 2021 DOI:10.1109/TPWRS.2021.3074898

[12]	Weather-related power outage model with a growing domain: structure, performance, and generalisability The Journal of Engineering, 2020 DOI:10.1049/joe.2019.1274

[13]	Microgrids with energy storage systems as a means to increase power resilience: An application to office buildings Energy, 2019 DOI:10.1016/j.energy.2019.02.043

[14]	A time-dependent model of generator failures and recoveries captures correlated events and quantifies temperature dependence Applied Energy, 2019 DOI:10.1016/j.apenergy.2019.113513

[15]	Adaptive Capacity Planning Formulation for Infrastructure Networks Journal of Infrastructure Systems, 2018 DOI:10.1061/(ASCE)IS.1943-555X.0000432

[16]	Resilience of Energy Infrastructure and Services: Modeling, Data Analytics, and Metrics Proceedings of the IEEE, 2017 DOI:10.1109/JPROC.2017.2698262

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