摘要
应急电力物资仓储和调配应该做到效率高、反应快,物联网技术可以满足物资监测与调配的要求。本文对相关理论进行研究,对电网应急物资储备定额进行分析,提出遗传算法优化BP神经网络储备定额测算模型,并进行算例分析,对建立物联网电力应急物资配送优化模型进行研究,提出非合作博弈的应急物资配送优化模型和改进蚁群优化算法,最后就物联网环境下电力应急物资储备与调配进行探讨。
The storage and deployment of emergency power materials should be efficient and quick to respond.The Internet of Things technology can meet the requirements of material monitoring and deployment.This paper first studies related theories,then analyzes the reserve quota of power grid emergency supplies,proposes a genetic algorithm to optimize the BP neural network reserve quota calculation model,and analyzes the calculation examples to study the establishment of an optimization model for the distribution of emergency supplies for the Internet of Things.The emergency material distribution optimization model of non-cooperative game and the improved ant colony optimization algorithm,and finally the discussion on the storage and deployment of emergency materials in the Internet of things environment,which can be used for reference by relevant personnel.
作者
钟诚
康玉倩
郭思思
宋孜
Zhong Cheng;Kang Yu-qian;Guo Si-si;Song Zi
出处
《电力系统装备》
2022年第1期147-149,共3页
Electric Power System Equipment
关键词
物联网技术
应急电力物资
仓储
调配
internet of things technology
emergency power supplies
warehousing
deployment
