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

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....

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Bibliographic Details
Published in:IEEE systems journal Vol. 18; no. 1; pp. 632 - 643
Main Authors: Rostamzadeh, Mehdi, Kapourchali, Mohammad Heidari, Zhao, Long, Aravinthan, Visvakumar
Format: Journal Article
Language:English
Published: New York IEEE 01.03.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Conductors
Decision making
Distributed power generation
Electric power distribution
Fires
Heat balance
Heat gain
heat loss
Heating systems
Mathematical models
Mechanical properties
Mixed integer
Mixed integer linear programming
mixed-integer conic programming
Power distribution
power distribution grid reconfiguration
Power lines
Power system dynamics
Reconfiguration
Resilience
Thermal management
thermal rating
Thermal stress
Thermodynamic efficiency
wildfire
Wildfires
ISSN:1932-8184, 1937-9234
Online Access:Get full text
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Summary: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.
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ISSN:1932-8184
1937-9234
DOI:10.1109/JSYST.2023.3339771