Co-optimization of power line shutoff and restoration under high wildfire ignition risk

被引:2
|
作者
Rhodes, Noah [1 ]
Roald, Line A. [1 ]
机构
[1] Univ Wisconsin Madison, Dept Elect & Comp Engn, Madison, WI USA
来源
2023 IEEE BELGRADE POWERTECH | 2023年
基金
美国国家科学基金会;
关键词
Wildfire risk mitigation; preemptive power shutoffs; grid restoration; mixed-integer optimization;
D O I
10.1109/POWERTECH55446.2023.10202865
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Electric power infrastructure has ignited several of the most destructive wildfires in recent history. Preemptive power shutoffs are an effective tool to mitigate the risk of ignitions from power lines, but at the same time can cause widespread power outages. This work proposes a mathematical optimization problem to help utilities decide where and when to implement these shutoffs, as well as how to most efficiently restore power once the wildfire risk is lower. Specifically, our model co-optimizes the power shutoff (considering both wildfire risk reduction and power outages) as well as the post-event restoration efforts given constraints related to inspection and energization of lines, and is implemented as a rolling horizon optimization problem that is resolved whenever new forecasts of load and wildfire risk become available. We demonstrate our method on the IEEE RTS-GMLC test case using real wildfire risk data and forecasts from US Geological Survey, and investigate the sensitivity of the results to the forecast quality, decision horizon and system restoration budget. The software implementation is available in the open source software package PowerModelsWildfire.jl.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Security constrained optimal power shutoff for wildfire risk mitigation
    Rhodes, Noah
    Coffrin, Carleton
    Roald, Line
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2024, 18 (18) : 2972 - 2986
  • [2] Co-Optimization in Power Systems
    Olatujoye, Oluwaseyi
    Ardakani, Fatemeh Jahanbani
    Ardakani, Ali Jahanbani
    McCalley, James
    2017 NORTH AMERICAN POWER SYMPOSIUM (NAPS), 2017,
  • [3] Quantifying the Risk of Wildfire Ignition by Power Lines Under Extreme Weather Conditions
    Bayani, Reza
    Waseem, Muhammad
    Manshadi, Saeed D.
    Davani, Hassan
    IEEE SYSTEMS JOURNAL, 2023, 17 (01): : 1024 - 1034
  • [4] Risk Adjusted Co-optimization of ATC in High-Low Voltage Interconnected Power Systems
    Madhu, Nimal M.
    Mohan, Vivek
    Singh, Jai Govind
    Surest, Reshma
    2018 IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, DRIVES AND ENERGY SYSTEMS (PEDES), 2018,
  • [5] Computational Co-optimization of Fuel and Spark-Ignition Engine
    Ackermann, Philipp
    Auer, Benjamin
    Burkardt, Patrick
    Lehrheuer, Bastian
    Morsch, Philipp
    Heufer, Karl Alexander
    Pischinger, Stefan
    Mitsos, Alexander
    Dahmen, Manuel
    ENERGY & FUELS, 2025, 39 (08) : 4079 - 4093
  • [6] Co-Optimization of Supply and Demand Resources for Load Restoration of Distribution System Under Extreme Weather
    Zhu, Xi
    Zeng, Bo
    Li, Yonggang
    Liu, Jiaomin
    IEEE ACCESS, 2021, 9 : 122907 - 122923
  • [7] Motivating the Use of Dynamic Line Ratings to Mitigate the Risk of Wildfire Ignition
    Tandon, Shubham
    Grijalva, Santiago
    Molzahn, Daniel K.
    2021 IEEE POWER AND ENERGY CONFERENCE AT ILLINOIS (PECI), 2021,
  • [8] A performance and power co-optimization approach for modern processors
    Zhu, YX
    Wong, WF
    Koh, CK
    FIFTH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY - PROCEEDINGS, 2005, : 822 - 828
  • [9] Co-Optimization of Interdependent Water and Power Distribution Networks
    Ayyagari, Krishna Sandeep
    Wang, Shen
    Gatsis, Nikolaos
    Taha, Ahmad F.
    Giacomoni, Marcie
    2021 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2021,
  • [10] Device and architecture co-optimization for FPGA power reduction
    Cheng, LR
    Wong, P
    Li, F
    Lin, Y
    He, L
    42nd Design Automation Conference, Proceedings 2005, 2005, : 915 - 920