A multi-layer distributed power material allocation system based on intelligent optimal scheduling model

被引:0
|
作者
Deng Y. [1 ]
机构
[1] Supply Quality Division of Material Department, State Grid Sichuan Electric Power Company, Sichuan
关键词
genetic algorithm; intelligent optimisation scheduling model; material allocation; risk measurement;
D O I
10.1504/IJASS.2023.134367
中图分类号
学科分类号
摘要
The traditional power material allocation system has the problems of long material distribution path and long material scheduling time. Therefore, a multi-layer distributed power material allocation system based on intelligent optimisation scheduling model is designed. In the hardware part, the material allocation decision-making module, scheduling data storage module, material transportation risk measurement module and material allocation path information acquisition module are designed. In the software part, the minimisation of material allocation time and the shortest transportation path are determined as the objective function, the intelligent optimisation scheduling model is established, and the genetic algorithm is used to solve the model to complete the power material allocation. The test results show that the deployment effect of this system is better and the deployment path is shorter, which is about 4 km shorter than the traditional method. © 2023 Inderscience Enterprises Ltd.. All rights reserved.
引用
收藏
页码:220 / 231
页数:11
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