电网技术2024，Vol.48Issue(2)：750-759,10.DOI:10.13335/j.1000-3673.pst.2022.2513
基于多维能力和知识图谱-多层感知机的变压器运行状态画像构建方法
Construction Method for Transformer Operating State Portrait Based on Multi-dimensional Capability and Knowledge Graph-multilayer Perceptron
摘要
Abstract
Accurate evaluation for operating state of power transformer using big data and portrait technology is beneficial to ensure the safe and stable operation of power system.Aiming to the shortcomings of traditional condition evaluation methods,such as too single evaluation dimension and strong subjectivity,a construction method for transformer operating state portrait based on multi-dimensional capability and knowledge graph-multilayer perceptron(KG-MLP)is proposed.Firstly,the portrait system of transformer operation state is constructed,which is composed of insulation level,load capacity,anti-short circuit ability,energy efficiency level and voltage regulation capacity.Then,by combining the KG and MLP,a portrait analysis model of transformer operating state is built.Finally,according to the actual operation data of 1368 110kV transformers in a certain area,an example analysis of transformer operation state portrait is carried out.Also,the results are compared with those of Random Forest(RF)and Support Vector Machine(SVM)methods.The results show that the proposed method can accurately construct the transformer running state portrait with an accuracy of 96.35%,which is superior to RF algorithm(accuracy of 89%)and SVM algorithm(accuracy of 77%),providing a new way of evaluation for power transformer operating state.关键词
电力变压器/运行状态/画像构建/多维能力/知识图谱/多层感知机Key words
power transformer/operating state/portrait construction/multi-dimensional capability/knowledge graph(KG)/multilayer perceptron(MLP)分类
信息技术与安全科学引用本文复制引用
舒胜文,陈阳阳,张梓奇,方舒绮,王国彬,曾静岚..基于多维能力和知识图谱-多层感知机的变压器运行状态画像构建方法[J].电网技术,2024,48(2):750-759,10.基金项目
国家自然科学基金项目(52207150).Project Supported by National Natural Science Foundation of China(52207150). （52207150）
