【论文推荐】福州大学宋福根等：基于RF-组合赋权与灰色关联改进TOPSIS法的变压器油纸绝缘状态的综合评估

原创英文期刊编辑部全球能源互联网期刊 2023-01-29 08:00

摘要

变压器油纸绝缘状态的准确诊断对其检修策略制定具有重要指导意义。为实现油纸绝缘状态的客观科学评价，提出基于组合赋权-灰色关联改进TPOSOS法的变压器油纸绝缘状态多特征量综合评估模型。首先，针对利用单一特征量评估的不足，基于现有采集的时域介电谱数据分别从回复电压极化谱与扩展德拜等效电路提取多个老化特征量，建立标准评估指标体系；其次，借鉴标幺值思想，统一指标矩阵量纲用随机森林算法得到客观权重，并运用计及专家主观经验和随机森林算法的指标组合赋权模型，克服单一赋权法的不足；最后，基于改进的TOPSIS法计算待评估对象与标准状态理想点的贴近度，获取油纸绝缘状态的综合评估结果，并对评估结果数据进行深入分析，进一步了解变压器的油纸绝缘状态。通过实例验证所建评估模型能有效、准确地诊断变压器绝缘状态，可为变压器油纸绝缘评估提供一种新的方法。

Comprehensive evaluation of the transformer oil-paper insulation state based on RF-combination weighting and an improved TOPSIS method

基于RF-组合赋权与灰色关联改进TOPSIS法的变压器油纸绝缘状态的综合评估

Fugen Song¹, Shichao Tong¹

(1.College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, P. R. China)

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Comprehensive evaluation of the transformer oil-paper insul

Abstract

The accurate identification of the oil-paper insulation state of a transformer is crucial for most maintenance strategies. This paper presents a multi-feature comprehensive evaluation model based on combination weighting and an improved technique for order of preference by similarity to ideal solution (TOPSIS) method to perform an objective and scientific evaluation of the transformer oil-paper insulation state. Firstly, multiple aging features are extracted from the recovery voltage polarization spectrum and the extended Debye equivalent circuit owing to the limitations of using a single feature for evaluation. A standard evaluation index system is then established by using the collected time-domain dielectric spectrum data. Secondly, this study implements the per-unit value concept to integrate the dimension of the index matrix and calculates the objective weight by using the random forest algorithm. Furthermore, it combines the weighting model to overcome the drawbacks of the single weighting method by using the indicators and considering the subjective experience of experts and the random forest algorithm. Lastly, the enhanced TOPSIS approach is used to determine the insulation quality of an oil-paper transformer. A verification example demonstrates that the evaluation model developed in this study can efficiently and accurately diagnose the insulation status of transformers. Essentially, this study presents a novel approach for the assessment of transformer oil-paper insulation.

Keywords

Combined weight method, Random forest algorithm, Insulation aging assessment, Oil-paper insulation, Time- domain eigenvalue.

Fig.1 Extended Debye equivalent circuit

Fig.2 Measurement curve for recovery voltage

Fig.3 Polarization/depolarization current measurement waveform

Fig.4 Comprehensive evaluation process of oil-paper transformers

Fig.5 Ranking indicators by importance

本文引文信息

Song FG, Tong SC (2022) Comprehensive evaluation of the transformer oil-paper insulation state based on RF-combination weighting and an improved TOPSIS method. Global Energy Interconnection, 5(6): 654-665

宋福根，仝世超(2022) 基于RF-组合赋权与灰色关联改进TOPSIS法的变压器油纸绝缘状态的综合评估. 全球能源互联网（英文）, 5(6): 654-665

Biographies

Fugen Song

Fugen Song received the M.E. degree from Fuzhou University, Fuzhou, China, in 2006 and the Ph.D. degree from Fuzhou University, Fuzhou, China, in 2017. He is currently working in the College of Electrical Engineering with the title of associate professor, Fuzhou University, Fuzhou, China.

His research interests include the spatial electric field distribution of power system transmission lines and power system voltage regulation technology.

Shichao Tong

Shichao Tong received the B.E. degree from Wuyi University, Nanping, China, in 2018. He is currently working towards a Master’s degree at the School of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China. His research interests include the reactive power optimization of power system and the insulation aging of transformer.

编辑：王彦博

审核：王伟

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