首页|基于智能算法的电力系统故障定位研究

基于智能算法的电力系统故障定位研究

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针对目前配电网故障监测与定位时预测精度较低、故障定位误差较大的缺陷,提出了一种电力物联网故障监测系统.该模型基于对称特性的故障定位方法,可利用正序分量的故障序列分析电力系统,从而实现高精度的故障定位.该模型较VGG19,ResNet50、ResNet101等模型相比,具有故障分类平均准确率较高,模型计算开销较低,且故障定位误差较低的优势.仿真结果进一步验证了所提模型在配电网故障检测与定位方面具有较好的性能.该模型可以为电力系统智能化管理及发展提供一定借鉴作用.
Research on power system fault location based on Intelligent Algorithm
Based on the defects of low prediction accuracy and large fault location error in current distribu-tion network fault monitoring and location,a power Internet of things fault monitoring system is proposed.The model is based on the symmetrical fault location method,which can use the fault sequence of positive sequence components to analyze the power system,so as to achieve high-precision fault location.Compared with VGG19,ResNet50,ResNet101 and other models,this model has the advantages of higher average ac-curacy of fault classification,the lowest computational overhead of the model,and the lowest fault location error.The simulation results further verify that the proposed model has better performance for distribution network fault detection and location.The model provides a reference for the intelligent management and de-velopment of power system.

smart griddistribution networkInternet of Thingsfault classificationfault location

刘卫新、潘霞、张晓磊、庄亚杰

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国网新疆电力有限公司电力科学研究院,乌鲁木齐 830000

智能电网 配电网 物联网 故障分类 故障定位

国家自然科学基金项目

51967019

2024

信息技术
黑龙江省信息技术学会 中国电子信息产业发展研究院 中国信息产业部电子信息中心

信息技术

CSTPCD
影响因子:0.413
ISSN:1009-2552
年,卷(期):2024.(6)