Optimization Method for Joint Maintenance Work Order Scheduling of Power Grid Transmission and Distribution Equipment Based on Improved Bee Colony Algorithm

被引:0
作者
Li, Guo [1 ]
Li, Pinlei [1 ]
Li, Qilin [1 ]
Wu, Xujing [1 ]
Sui, Hong [1 ]
Zhou, Beibei [1 ]
Huang, Weijia [1 ]
机构
[1] Guangdong Power Grid Co Ltd, Guangzhou Power Supply Bur, Guangzhou, Peoples R China
来源
2024 5TH INTERNATIONAL CONFERENCE ON MECHATRONICS TECHNOLOGY AND INTELLIGENT MANUFACTURING, ICMTIM 2024 | 2024年
关键词
Improved bee colony algorithm; Power transmission and distribution equipment; Joint; Maintenance work order; Scheduling optimization;
D O I
10.1109/ICMTIM62047.2024.10629437
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
When power transmission, transformer and distribution equipment is running, it is easy to fall into the local optimal solution to solve the objective function of joint maintenance work order scheduling optimization. Therefore, optimization method for joint maintenance work order scheduling of power grid transmission and distribution equipment based on improved bee colony algorithm is proposed. The entity relationship triplet including equipment, personnel and resources is introduced to generate the joint maintenance work order label of power grid transmission, transformation and distribution equipment; According to these labels, an optimal scheduling scheme is found by improving the bee colony algorithm, and an optimization objective function is constructed. The same elements in two people are kept by searching for new honey sources, and then the improved new honey source search is used to solve the optimization objective function of joint maintenance work order scheduling of power grid transmission, transformer and distribution equipment, and the optimization results are obtained. The experimental results show that this method has higher throughput, smaller average absolute error and higher response efficiency when it is used to process the combined maintenance work order of power transmission, transformer and distribution equipment.
引用
收藏
页码:676 / 680
页数:5
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