Research on the Scheduling Method for Power Outage Maintenance of 110kV and Above Large User Lines

This paper proposes a method for scheduling power outages to address the difficulties of power outages and the lack of scientific scheduling for power outage maintenance on large user lines of 110kV and above. Firstly, the power outage maintenance costs on the grid side, user side, and maintenance side are analyzed, and a comprehensive maintenance cost model is established. Then, the particle swarm optimization algorithm is used to solve the lowest comprehensive maintenance cost for each year. Based on the lowest comprehensive maintenance cost, three levels of maintenance periods A, B, and C are marked. Furthermore, the suitability of power outage maintenance for the next year is allocated through weight assignment based on the value of each level of maintenance period and annual data. Finally, the time interval with the highest suitability for power outage maintenance is identified to determine the scheduling time for the next year's power outage maintenance work.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/itnec60942.2024.10733230
Primary Topic
Power Systems and Technologies
Type
article
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Research on the Scheduling Method for Power Outage Maintenance of 110kV and Above Large User Lines

Yiran Xu, Chanyuan Wang, Ming Kong, Zhunian Wang et al.
Power Systems and Technologies
article

Research on the Scheduling Method for Power Outage Maintenance of 110kV and Above Large User Lines

Yiran Xu, Chanyuan Wang, Ming Kong, Zhunian Wang, I Lingling Sun
article en

Abstract

This paper proposes a method for scheduling power outages to address the difficulties of power outages and the lack of scientific scheduling for power outage maintenance on large user lines of 110kV and above. Firstly, the power outage maintenance costs on the grid side, user side, and maintenance side are analyzed, and a comprehensive maintenance cost model is established. Then, the particle swarm optimization algorithm is used to solve the lowest comprehensive maintenance cost for each year. Based on the lowest comprehensive maintenance cost, three levels of maintenance periods A, B, and C are marked. Furthermore, the suitability of power outage maintenance for the next year is allocated through weight assignment based on the value of each level of maintenance period and annual data. Finally, the time interval with the highest suitability for power outage maintenance is identified to determine the scheduling time for the next year's power outage maintenance work.

Shanghai Electric (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 83%
Power Systems and Technologies
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