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抛物线边界随机幅值的局部放电图谱虚拟仿真培训系统OA

Partial Discharge Map Cluster Feature Training System Based on Parabolic Curve Envelope Random Points Algorithm

中文摘要英文摘要

为了解决变电站气体绝缘组合电器(gas insulated switchgear,GIS)组合电器、高压开关柜局部放电带电检测技能培训装置成本高、危险性高的问题,以虚拟现实(virtual reality,VR)技术构建变电站虚拟工作环境,以3ds Max软件polygon建模方法建立220 kVGIS、10 kV开关柜设备三维模型.基于真实录波数据(data,DAT)文件的数据解析法,获取典型局部放电缺陷的真实局部放电(phase resolved partial discharge,PRPD)图谱及局部放电脉冲信号(phase resolved pluse sequence,PRPS)图谱数据,形成用于培训的局部放电故障数据.同时基于典型局部放电PRPD故障图谱特征,提出一种抛物线边界包络线的随机幅值呈现方法,通过Unity3D引擎实现PRPD与PRPS图谱三维动态呈现.可以在三维仿真第一视角下,开展变电站间隔巡检、局部放电检测仪器操作、故障图谱判断、故障定位等变电站带电检测技能练习.

In order to solve the problems of high cost and high risk of substation gas insulated switchgear(GIS)and high-voltage switch cabinet partial discharge live detection skill training device,the substation virtual working environment was constructed with virtual reality(VR)technology.Meanwhile,the three-dimensional model of 220 kV GIS and 10 kV switchgear equipment was established by using 3ds MAX software polygon modeling method.The phase resolved partial discharge(PRPD)and phase resolved pluse sequence(PRPS)graph data of typical partial discharge defects was obtained based on the data analysis method of real recording data(DAT)files.A random amplitude presentation method of polynomial function parabolic boundary was proposed based on the characteristics of typical partial discharge PRPD map,and the three-dimensional dynamic presentation of typical partial discharge fault map was realized by Unity3D engine.Students can practice substation live detection skills such as interval patrol inspection,PD detection instrument operation,fault map judgment and fault location from the first perspective of three-dimensional simulation.

张艳杰;隋宜臻;刘洪顺

国家电网有限公司技术学院分公司,山东 济南 250002||山东电力高等专科学校电气工程系,山东 济南 250002山东大学电气工程学院,山东 济南 250061

动力与电气工程

局部放电;带电检测;虚拟现实;抛物线边界;典型图谱

partial discharge;live detection;virtual reality;parabolic boundary;typical spectra

《山东电力技术》 2024 (006)

60-67 / 8

山东省自然科学基金项目(ZR2020ME196);国家电网有限公司技术学院分公司科技项目(KJ2023-06).Natural Science Foundation of Shandong Province(ZR2020ME196);Science and Technology Foundation of Dept.of Electrical Engineering,Shandong Electric Power College(KJ2023-06).

10.20097/j.cnki.issn1007-9904.2024.06.008

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