Research on key technologies of power grid operation resource allocation based on Internet of Things

Riquan Yao, S. Jin, Yingqun Fei, Lifeng Fang
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Abstract

The explosive growth of heterogeneous and multi-source data information has also spawned the demand for diversification and decolonialization of the Internet of Things business. In view of the current application mode of Internet of Things technology in power transmission and transformation operation and maintenance, this paper innovatively proposes to take the substation operation and maintenance based on Internet of Things technology as the research object, and to build a operation and maintenance resource allocation model in the Internet of Things environment as the core goal of research. This paper proposes an IoT network system based on the SOM algorithm. This paper aims to achieve the maximum intelligent acquisition and Internet of Things awareness of operational resource information in the process of power grid operation and maintenance in actual engineering. The superiority and credibility of SOM neural network and Internet of Things technology in engineering information acquisition and distribution perception are verified through simulation and optimization.
基于物联网的电网运行资源配置关键技术研究
异构、多源数据信息的爆发式增长,也催生了物联网业务多元化、去殖民化的需求。针对目前物联网技术在输变电运维中的应用模式,本文创新性地提出以基于物联网技术的变电站运维为研究对象,构建物联网环境下的运维资源分配模型作为研究的核心目标。本文提出了一种基于SOM算法的物联网网络系统。本文旨在实现实际工程中电网运维过程中运行资源信息的最大程度的智能化获取和物联网感知。通过仿真和优化验证了SOM神经网络和物联网技术在工程信息获取和分布感知方面的优越性和可信度。
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