Optimal Reconfiguration of Power Distribution Grids to Maintain Line Thermal Efficiency During Progressive Wildfires

被引:1
|
作者
Rostamzadeh, Mehdi [1 ]
Kapourchali, Mohammad Heidari [2 ,3 ]
Zhao, Long [4 ]
Aravinthan, Visvakumar [1 ]
机构
[1] Wichita State Univ, Dept Elect & Comp Engn, Wichita, KS 67260 USA
[2] Univ Alaska Anchorage, Dept Elect Engn, Anchorage, AK 99508 USA
[3] Alaska Ctr Energy & Power, Fairbanks, AK 99775 USA
[4] South Dakota Sch Mines & Technol, Dept Elect Engn & Comp Sci, Rapid City, SD 57701 USA
来源
IEEE SYSTEMS JOURNAL | 2024年 / 18卷 / 01期
基金
美国国家科学基金会;
关键词
Heat gain; heat loss; mixed-integer conic programming; power distribution grid reconfiguration; thermal rating; wildfire; DISTRIBUTION-SYSTEMS; NETWORK RECONFIGURATION; RESILIENCE ENHANCEMENT; OPERATION;
D O I
10.1109/JSYST.2023.3339771
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The worsening wildfires due to intensified climate variability increases the risk of both unplanned power outages as well as planned power line de-energizations. It is because wildfires cause thermal stress on overhead conductors, which harms the mechanical properties of overhead distribution lines. This article proposes a proactive strategy for improving the operational efficiency and decision-making capabilities of power distribution networks under progressive wildfire conditions. Dynamic heat balance equations are used to characterize the effect of wildfire on the overhead line conductors. The optimal dynamic reconfiguration of the distribution system and the operation of backup generators are considered as tools to minimize the curtailed loads while maintaining the maximum flow of current through the lines within the thermal rating of the line conductors. A mixed-integer conic programming model is adopted to minimize the operation and load curtailment costs. A higher value of lost load is applied to enhance the continuity of the electricity supply to critical loads. The proposed framework is tested under various environmental conditions and wildfire paths using both a modified 33-node network and the practical 83-node Taiwan Power Company's distribution grid. Results show that the proposed approach enhances proactive decision-making for power distribution system operations and increases the resilience of critical loads to wildfire threats.
引用
收藏
页码:632 / 643
页数:12
相关论文
共 50 条
  • [1] Equitable Operational Resilience of Power Distribution Grids in the Face of Progressive Wildfires
    Salimi, Arastoo H.
    Nazaripouya, Hamidreza
    [J]. 2023 NORTH AMERICAN POWER SYMPOSIUM, NAPS, 2023,
  • [2] Resilient Operation of Electric Power Distribution Grids Under Progressive Wildfires
    Nazemi, Mostafa
    Dehghanian, Payman
    Alhazmi, Mohannad
    Darestani, Yousef
    [J]. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2022, 58 (02) : 1632 - 1643
  • [3] Resilience enhancement program in smart grids by coordinating demand response and optimal reconfiguration during wildfires
    Najibi, Sasan
    Najafi, Mojtaba
    Mallaki, Mehrdad
    Shirazi, Najmeh Cheraghi
    [J]. ELECTRICAL ENGINEERING, 2024,
  • [4] Optimal distribution systems reconfiguration for radial and meshed grids
    Hijazi, Hassan
    Thiebaux, Sylvie
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2015, 72 : 136 - 143
  • [5] Resilience Enhancement of Electric Power Distribution Grids against Wildfires
    Nazemi, Mostafa
    Dehghanian, Payman
    Alhazmi, Mohannad
    Darestani, Yousef
    [J]. 2021 IEEE INDUSTRY APPLICATIONS SOCIETY ANNUAL MEETING (IAS), 2021,
  • [6] Optimal Model for Efficiency of Reegineering the Independent Power Grids
    Vintea, Adela
    Schiopu, Paul
    Ghita, Octavian Mihai
    [J]. PROCEEDINGS OF THE 2014 6TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE (ECAI), 2014,
  • [7] Sensor Placement for Optimal Estimation in Power Distribution Grids
    Fusco, Francesco
    Villumsen, Jonas C.
    [J]. 2015 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2015,
  • [8] Distributed Optimal Power Flow for DC Distribution Grids
    Karambelkar, Sahil
    Mackay, Laurens
    Chakraborty, Shantanu
    Ramirez-Elizondo, Laura
    Bauer, Pavol
    [J]. 2018 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2018,
  • [9] Sensor Placement for Optimal Estimation in Power Distribution Grids
    Fusco, Francesco
    Villumsen, Jonas C.
    [J]. 2015 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2015,
  • [10] Differentially Private Optimal Power Flow for Distribution Grids
    Dvorkin, Vladimir, Jr.
    Fioretto, Ferdinando
    Van Hentenryck, Pascal
    Pinson, Pierre
    Kazempour, Jalal
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2021, 36 (03) : 2186 - 2196