A Risk-Based Framework for Power System Modeling to Improve Resilience to Extreme Events

被引:4
|
作者
Barrett, Emily L. L. [1 ]
Mahapatra, Kaveri [2 ]
Elizondo, Marcelo [3 ]
Fan, Xiaoyuan [1 ]
Davis, Sarah [4 ]
Newman, Sarah [5 ]
Royer, Patrick [5 ]
Vyakaranam, Bharat [2 ]
Dos Reis, Fernando Bereta [5 ]
Ke, Xinda [6 ]
Dagle, Jeff [5 ]
机构
[1] Pacific Northwest Natl Lab, Dept Elect Infrastruct, Richland, WA 99352 USA
[2] Pacific Northwest Natl Lab, Dept Elect Secur, Richland, WA 99352 USA
[3] Pacific Northwest Natl Lab, Energy & Efficiency Div, Seattle, WA 98109 USA
[4] Apex Clean Energy, Charlottesville, VA 22902 USA
[5] Pacific Northwest Natl Lab, Richland, WA 99352 USA
[6] Pacific Northwest Natl Lab, Dept Energy & Environm, Richland, WA 99352 USA
关键词
Hurricanes; Analytical models; Power systems; Measurement; Resilience; Planning; Load modeling; Bulk electric system; hurricane events; power system planning; power system resilience; probabilistic risk-based analysis; WEATHER;
D O I
10.1109/OAJPE.2022.3214175
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The extent of the damage to Puerto Rico from Hurricane Maria in September 2017 led to outages in electricity service that persisted for months. Power system operators attempting to restore critical facilities faced challenges on almost every front, from supply chain interruptions to the inaccessibility of key assets. After a disaster of this magnitude, it is critical, but challenging, to prioritize how limited resources are directed toward rebuilding and fortifying the electric power system. To inform these decisions, the U.S. Department of Energy funded efforts investigating methodologies to identify critical vulnerabilities to the Puerto Rican power system, and to provide data-driven recommendations on how to harden and operate the system for greater resilience. This work presents the Risk-based Contingency Analysis Tool (RCAT), a framework developed as a part of that resilience initiative. The framework can qualitatively and quantitatively describe the most critical system vulnerabilities with an understanding of both likelihood of occurrence and impact. It evaluates the effectiveness of candidate remediation strategies in reducing overall risk to the system from future hurricane events. This paper will describe RCAT, with an emphasis on how different modeling capabilities have been integrated along with probabilistic methods and analytical metrics to better describe risk.
引用
收藏
页码:25 / 35
页数:11
相关论文
共 50 条
  • [1] A Risk-Based Framework to Improve a Distribution System's Resilience against Earthquakes
    Oboudi, Mohammad Hossein
    Mohammadi, Mohammad
    Trakas, Dimitris N. N.
    Hatziargyriou, Nikos D. D.
    [J]. JOURNAL OF ENERGY ENGINEERING, 2023, 149 (01)
  • [2] Risk-Based Active Distribution System Planning for Resilience Against Extreme Weather Events
    Poudyal, Abodh
    Poudel, Shiva
    Dubey, Anamika
    [J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2023, 14 (02) : 1178 - 1192
  • [3] Risk-Based Structural Optimization Framework for Connected Structural System Subjected to Extreme Events
    Hughes, William
    Zhang, Wei
    [J]. SPACE EXPLORATION, UTILIZATION, ENGINEERING, AND CONSTRUCTION IN EXTREME ENVIRONMENTS (EARTH AND SPACE 2022), 2023, : 587 - 601
  • [4] RISK-BASED ANALYSIS OF EXTREME EVENTS
    KARLSSON, PO
    HAIMES, YY
    [J]. WATER RESOURCES RESEARCH, 1988, 24 (01) : 9 - 20
  • [5] A novel three-stage risk-based scheme to improve power system resilience against hurricane
    Mahzarnia, Maedeh
    Moghaddam, Mohsen Parsa
    Haghifam, Mahmoud-Reza
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2021, 93
  • [6] Risk-Based Probabilistic Quantification of Power Distribution System Operational Resilience
    Poudel, Shiva
    Dubey, Anamika
    Bose, Anjan
    [J]. IEEE SYSTEMS JOURNAL, 2020, 14 (03): : 3506 - 3517
  • [7] Risk-Based Power System Resilience Assessment Considering the Impacts of Hurricanes
    Pan, Aiqiang
    Fang, Xiaotao
    Yan, Zheng
    Dong, Zhen
    Xu, Xiaoyuan
    Wang, Han
    [J]. 2022 IEEE/IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA (I&CPS ASIA 2022), 2022, : 1714 - 1718
  • [8] Modeling of Natural Disasters and Extreme Events for Power System Resilience Enhancement and Evaluation Methods
    Bhusal, Narayan
    Gautam, Mukesh
    Abdelmalak, Michael
    Benidris, Mohammed
    [J]. 2020 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS), 2020,
  • [9] A Generalized Framework for Risk-Based Extreme Load Analysis in Offshore System Design
    Arif, Mohammad
    Khan, Faisal
    Ahmed, Salim
    Imtiaz, Syed
    [J]. JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME, 2023, 145 (02):
  • [10] A risk-based resilient distribution system planning model against extreme weather events
    Zare-Bahramabadi, Majid
    Ehsan, Mehdi
    Farzin, Hossein
    [J]. IET RENEWABLE POWER GENERATION, 2022, 16 (10) : 2125 - 2135