Assessment of Ageing State of Oil-paper Insulation Based on Grade Cloud Model

LIU Qingzhen; CHEN Junhong

doi:10.13296/j.1001-1609.hva.2023.01.025

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Assessment of Ageing State of Oil-paper Insulation Based on Grade Cloud Model

更新时间：2025-04-26

- Assessment of Ageing State of Oil-paper Insulation Based on Grade Cloud Model
- High VoltageApparatus Vol. 59, Issue 1, Pages: 176-184(2023)
- 作者机构：
  
  1. 福州大学电气工程与自动化学院
  2. 国网福建省电力有限公司晋江市供电公司
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2023.01.025
  CLC： TM855
- Published：2023
- 稿件说明：
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LIU Qingzhen, CHEN Junhong. Assessment of Ageing State of Oil-paper Insulation Based on Grade Cloud Model[J]. High voltageapparatus, 2023, 59(1): 176-184.
DOI：

LIU Qingzhen, CHEN Junhong. Assessment of Ageing State of Oil-paper Insulation Based on Grade Cloud Model[J]. High voltageapparatus, 2023, 59(1): 176-184. DOI： 10.13296/j.1001-1609.hva.2023.01.025.

摘要

针对油纸绝缘介电响应法中单一特征量老化评估不准确等问题，提出运用等级云模型进行多特征量的油纸绝缘老化状态评估。首先，运用矩阵束算法对等效电路进行参数辨识，提出两个能分别表征几何支路和极化支路老化状态的新时域特征量；然后，结合主、客观两种不同赋权方法进行综合权重的计算；最后，使用等级云模型来构建设备老化状态的评估模型：根据云模型理论和实测数据得到各标准等级云模型的数字特征，将待评估设备的各项指标与标准等级云模型进行关联度计算，从而得到设备的绝缘老化等级。经若干实例验证，该方法得到的评估结果能正确反映设备的真实情况，具备较高的应用可行性。

Abstract

Aiming at the problem of inaccurate aging assessment of single characteristic quantity in the oil-paper insulation dielectric response method

the grade cloud model is proposed to assess the aging state of oil-paper insulation with multiple characteristic quantities. First

the matrix pencil method is used to identify the parameters of the equivalent circuit

and two new time-domain characteristic quantities that can characterize the aging state of the geometric branch and the polarization branch are proposed respectively. Then

the comprehensive weight calculation is performed in combination with the subjective and objective weighting methods. Finally

the grade cloud model is used to construct the assessment model of the aging state of the equipment. According to the theory and the actually measured data of the cloud model

the digital characteristics of each standard grade cloud model are obtained. The correlation calculation of the various indexes of the equipment to be assessed and the standard grade cloud model is performed to obtain the insulation aging grade of the equipment. It is proved by a number of examples that the assessment results obtained by this method can correctly reflect the real condition of the equipment and have high application feasibility.

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