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学者姓名：邹阳
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Abstract ：
通过介电响应等效建模,探究热老化对油纸绝缘微观介电特性的影响,揭示宏观频谱特征变化的微观机制.首先,利用Kramers-Kronig变换在宽频带内提取电导过程、非弥散极化过程和弛豫极化过程的独立谱图;其次,根据电导和极化过程的典型频谱特征,明确油纸绝缘宽频介电响应的构成,构建等效电路模型;最后,通过等效电路模型分析,探究热老化对油纸绝缘微观介电特性的影响规律.研究表明,油纸绝缘宽频介电谱特征受电导损耗、非弥散极化过程、弛豫峰型响应和低频弥散响应的共同影响.随着热老化程度的加深,绝缘体系内部的偶极子和载流子浓度均增大,弛豫响应速率加快,偶极子的簇内运动特性减弱,使得复电容虚部测试谱线的数值在整个宽频带内增大,整体谱线向高频方向移动且损耗峰特征明显增强.
Keyword ：
Dissado-Hill模型 Dissado-Hill模型 Kramers-Kronig变换 Kramers-Kronig变换 微观介电特性 微观介电特性 油纸绝缘 油纸绝缘 热老化 热老化 等效建模 等效建模
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| GB/T 7714 | 林昕亮 , 邹阳 , 陈啸轩 et al. 热老化对油纸绝缘微观介电特性的影响 [J]. | 福州大学学报（自然科学版） , 2025 , 53 (1) : 42-50 . |
| MLA | 林昕亮 et al. "热老化对油纸绝缘微观介电特性的影响" . | 福州大学学报（自然科学版） 53 . 1 (2025) : 42-50 . |
| APA | 林昕亮 , 邹阳 , 陈啸轩 , 林锦茄 . 热老化对油纸绝缘微观介电特性的影响 . | 福州大学学报（自然科学版） , 2025 , 53 (1) , 42-50 . |
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为研究温度对油纸绝缘频域介电谱的影响,并探索高效的频温归一化策略以消除不同环境因素带来的测试温度误差,该文提出了基于极化复电容实部一阶微分解谱的多弛豫分解方法.首先,利用微分图谱特征划分出低频弛豫、中低频多弛豫、高频弛豫三类不同弛豫区间进行频温介电机理推演,发现各弛豫过程温度特性差异显著;其次,以Arrhenius衍生方程计算不同弛豫的活化能,基于该频温特性参量提取介质中多类贡献分量的频温频移因子,还原标准温度下的介电图谱;最后,利用不同温度及不同老化程度的试样验证该方法.实验分析表明,该方法很好地解决了传统频温归一法所存在的偏差,且对于不同老化程度的介质具有较好的适用性,可为现场测试提供可靠的理论支撑.
Keyword ：
弛豫活化能 弛豫活化能 微分解谱 微分解谱 油纸绝缘 油纸绝缘 频域介电法 频域介电法 频温归一化 频温归一化
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| GB/T 7714 | 邹阳 , 黄煜 , 方梦泓 et al. 基于微分解谱的油纸绝缘多弛豫频温机理与归一化研究 [J]. | 电工技术学报 , 2025 , 40 (5) : 1575-1586 . |
| MLA | 邹阳 et al. "基于微分解谱的油纸绝缘多弛豫频温机理与归一化研究" . | 电工技术学报 40 . 5 (2025) : 1575-1586 . |
| APA | 邹阳 , 黄煜 , 方梦泓 , 姚雨佳 , 金涛 . 基于微分解谱的油纸绝缘多弛豫频温机理与归一化研究 . | 电工技术学报 , 2025 , 40 (5) , 1575-1586 . |
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油纸绝缘作为电力变压器中的主绝缘设备,在工业生产和电力传输应用中尤为重要,为验证油纸绝缘的性能状态,该文研制了基于介质响应原理的现场可编程电力电子控制实验平台.平台以LabVIEW编程环境和三电极测试装置作为载体,采用状态机框架设计了回复电压谱与极化谱测量流程,并嵌入聚类云模型算法实现油纸绝缘状态精准分类.该实验平台可促进理论知识与实践经验相结合的教学模式革新,满足实验探索、科学研究等多层次需求.
Keyword ：
回复电压测试 回复电压测试 实验平台设计 实验平台设计 数字编程控制 数字编程控制 油纸绝缘 油纸绝缘
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| GB/T 7714 | 邹阳 , 黄煜 , 方梦泓 et al. 基于介质响应原理的变压器油纸绝缘测试实验平台设计 [J]. | 实验技术与管理 , 2025 , 42 (1) : 176-183 . |
| MLA | 邹阳 et al. "基于介质响应原理的变压器油纸绝缘测试实验平台设计" . | 实验技术与管理 42 . 1 (2025) : 176-183 . |
| APA | 邹阳 , 黄煜 , 方梦泓 , 石松浩 , 姚雨佳 , 高伟 . 基于介质响应原理的变压器油纸绝缘测试实验平台设计 . | 实验技术与管理 , 2025 , 42 (1) , 176-183 . |
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Electricity theft detection is very important for the economic benefits of power companies and the effectiveness of safe operation of power systems. At present, the traditional power theft detection method can only identify whether the user has power theft, but cannot perform rapid and accurate inspections for various types of power theft users. Aiming at the characteristics of medium-voltage users with large power consumption and regular power consumption, this paper proposed a method for detecting the type of power theft in medium-voltage distribution lines based on robust regression and convolutional neural network. Firstly, considering the existence of abnormal data due to factors such as communication delay interruption, a robust regression algorithm is used to reduce its impact and improve the accuracy of regression analysis. Secondly, the correction coefficient and error term of each user obtained by regression are taken as the characteristics of user stealing electricity, and input into the convolutional neural network model for training to complete the identification of stealing electricity type. Finally, the method is verified by simulation and measured data. The results show that under different disturbance conditions, the proposed method can accurately identify different types of power stealing behaviors, which can better assist on-site investigation, narrow the investigation scope and improve the verification rate. © 2024 The Author(s)
Keyword ：
Convolution Convolution Convolutional neural networks Convolutional neural networks Electric power utilization Electric power utilization Electric utilities Electric utilities Power quality Power quality Regression analysis Regression analysis Smart meters Smart meters Voltage distribution measurement Voltage distribution measurement
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| GB/T 7714 | Yi, Zhang , Min, Chen , Yang, Zou et al. Detection of medium-voltage electricity theft types based on robust regression and convolutional neural network [J]. | International Journal of Electrical Power and Energy Systems , 2024 , 160 . |
| MLA | Yi, Zhang et al. "Detection of medium-voltage electricity theft types based on robust regression and convolutional neural network" . | International Journal of Electrical Power and Energy Systems 160 (2024) . |
| APA | Yi, Zhang , Min, Chen , Yang, Zou , Rong, Xin , Chen, Gao , Hua, Lin . Detection of medium-voltage electricity theft types based on robust regression and convolutional neural network . | International Journal of Electrical Power and Energy Systems , 2024 , 160 . |
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To address the limitations of the Debye model and its derived models in effectively capturing the microscopic properties of dielectric materials, this study focuses on the wideband dielectric response of oil-paper insulation and conducts equivalent modelling research. Firstly, the Kramers-Kronig (K-K) transform is applied to extract the independent spectra of the conductivity process, non-dispersive polarization process, and relaxation polarization process within a wide frequency band, clarifying the composition of the broadband dielectric response of oil-paper insulation. Then, based on the spectral analysis results, electrical units are selected to construct the equivalent model. Finally, a method combining the K-K transform with the Grey Wolf Optimization (GWO) algorithm for model parameter identification is proposed. The study demonstrates that under the influence of a wideband alternating electric field, oil-paper insulation exhibits the conductivity process, low-frequency dispersive response, relaxation-peak type response, and non-dispersive polarization process. Based on this finding, the proposed equivalent model for dielectric response effectively characterizes the complex polarization processes of oil-paper insulation, providing the necessary model foundation for the analysis of dielectric responses.
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| GB/T 7714 | Xinliang Lin , Yang Zou . Research on equivalent modeling of wideband dielectric response of oil-paper insulation based on the Kramers-Kronig transform [J]. | Journal of Physics:Conference Series , 2024 , 2803 (1) . |
| MLA | Xinliang Lin et al. "Research on equivalent modeling of wideband dielectric response of oil-paper insulation based on the Kramers-Kronig transform" . | Journal of Physics:Conference Series 2803 . 1 (2024) . |
| APA | Xinliang Lin , Yang Zou . Research on equivalent modeling of wideband dielectric response of oil-paper insulation based on the Kramers-Kronig transform . | Journal of Physics:Conference Series , 2024 , 2803 (1) . |
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Extracting feature parameters from the recovery voltage polarization spectrum is currently a widely adopted method for evaluating the status of transformer oil-paper insulation. However, the polarization spectrum is prone to anomalous feature data due to factors such as working condition interference and artificial errors, which seriously reduces the accuracy of the evaluation. In response to the above issues, this paper proposed a recovery voltage data cleaning method based on local outlier factor (LOF) and improved K-nearest neighbor (IKNN). Firstly, Maximum recovery voltage Urmax, the initial slope Sr and dominant time constant tcdom of the recovery voltage polarization spectrum were selected as aging feature parameters, and anomalous feature data in the non-standard polarization spectrum were identified and filtered out based on the LOF algorithm. Secondly, the Fuzzy C-means (FCM) clustering algorithm was used to reduce the interference of noise points on the KNN algorithm, and the correlations between various features were highlighted by weighted Euclidean distance scale. Then, a data filling model architecture based on IKNN was constructed to fill in missing feature data. Finally, multiple sets of measured data were incorporated to validate the effectiveness of the proposed data cleaning method. The results indicate that the accuracy of status evaluation after data cleaning has increased by about 50% compared to the original data, which effectively improves the quality of transformer recovery voltage data and lays a solid foundation for accurate perception of transformer operation status. © 2024 Editorial Office of EMI Journal. All rights reserved.
Keyword ：
feature data cleaning feature data cleaning improved K-nearest neighbor algorithm improved K-nearest neighbor algorithm local outlier factor algorithm local outlier factor algorithm oil-paper insulation oil-paper insulation recovery voltage polarization spectrum recovery voltage polarization spectrum
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| GB/T 7714 | Chen, X. , Zou, Y. , Weng, Z. et al. Recovery voltage data cleaning method for transformer based on IKNN and LOF; [基于 IKNN 和 LOF 的变压器回复电压数据清洗方法研究] [J]. | Journal of Electronic Measurement and Instrumentation , 2024 , 38 (2) : 92-100 . |
| MLA | Chen, X. et al. "Recovery voltage data cleaning method for transformer based on IKNN and LOF; [基于 IKNN 和 LOF 的变压器回复电压数据清洗方法研究]" . | Journal of Electronic Measurement and Instrumentation 38 . 2 (2024) : 92-100 . |
| APA | Chen, X. , Zou, Y. , Weng, Z. , Lin, J. , Lin, X. , Zhang, Y. . Recovery voltage data cleaning method for transformer based on IKNN and LOF; [基于 IKNN 和 LOF 的变压器回复电压数据清洗方法研究] . | Journal of Electronic Measurement and Instrumentation , 2024 , 38 (2) , 92-100 . |
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Accurate lifetime prediction of transformer oil-paper insulation is of great significance in ensuring the safe and stable operation of a power system. In this paper, the internal mechanism relationship between interfacial polarization and aging oil-paper insulation is analyzed based on a microscopic dielectric response mechanism. Based on a mixed polarization model, an equivalent circuit topology with an interfacial polarization branch is introduced on the basis of an extended Debye model, and the application of interfacial charge polarization characteristics in oil-paper insulation life prediction is explored. First, the universal relaxation polarization law behind the spectrum changes in the process of temperature rise is analyzed, and the recovery voltage polarization spectrum is reconstructed based on the mixed polarization model. Combined with the influence law of temperature on the principal time constant and model parameters, a calculation method for the activation energy of oil-paper insulation in a single temperature test is proposed. The frequency-temperature translation factor is constructed from the interface polarization capacitance. Secondly, the change rule of dielectric loss factor with the deepening of aging is analyzed, the internal relationship between loss peak shift and relaxation time of interfacial polarization is explored, and a new characteristic parameter in frequency domain, the interfacial polarization branch pole Ph2 is refined to characterize the polymerization degree content of oil-paper insulation. Finally, an oil-paper insulation life prediction model is constructed by combining interface polarization branch pole Ph2 , frequency-temperature translation factor and a loss accumulation dynamic equation, and the measured data of a transformer of different operating years are substituted into the model to verify its effectiveness. This provides a new idea for oil-paper insulation life prediction. © 2024 Power System Protection and Control Press. All rights reserved.
Keyword ：
Activation energy Activation energy Capacitance Capacitance Dielectric losses Dielectric losses Equivalent circuits Equivalent circuits Forecasting Forecasting Frequency domain analysis Frequency domain analysis Insulation Insulation Oil filled transformers Oil filled transformers Polarization Polarization Poles Poles Polymerization Polymerization Topology Topology
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| GB/T 7714 | Zou, Yang , Chen, Xiaoxuan , Zhang, Yunxiao et al. А lifе рrеdiсtiоn mеthоd оf trаnsfоrmеr оil-рареr insulаtiоn bаsеd оn intеrfасiаl сhаrgе роlаrizаtiоn сhаrасtеristiсs [J]. | Power System Protection and Control , 2024 , 52 (7) : 138-148 . |
| MLA | Zou, Yang et al. "А lifе рrеdiсtiоn mеthоd оf trаnsfоrmеr оil-рареr insulаtiоn bаsеd оn intеrfасiаl сhаrgе роlаrizаtiоn сhаrасtеristiсs" . | Power System Protection and Control 52 . 7 (2024) : 138-148 . |
| APA | Zou, Yang , Chen, Xiaoxuan , Zhang, Yunxiao , Lin, Jinjia , Lin, Xinliang . А lifе рrеdiсtiоn mеthоd оf trаnsfоrmеr оil-рареr insulаtiоn bаsеd оn intеrfасiаl сhаrgе роlаrizаtiоn сhаrасtеristiсs . | Power System Protection and Control , 2024 , 52 (7) , 138-148 . |
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Abstract ：
To address the limitations of the Debye model and its derived models in effectively capturing the microscopic properties of dielectric materials, this study focuses on the wideband dielectric response of oil-paper insulation and conducts equivalent modelling research. Firstly, the Kramers-Kronig (K-K) transform is applied to extract the independent spectra of the conductivity process, non-dispersive polarization process, and relaxation polarization process within a wide frequency band, clarifying the composition of the broadband dielectric response of oil-paper insulation. Then, based on the spectral analysis results, electrical units are selected to construct the equivalent model. Finally, a method combining the K-K transform with the Grey Wolf Optimization (GWO) algorithm for model parameter identification is proposed. The study demonstrates that under the influence of a wideband alternating electric field, oil-paper insulation exhibits the conductivity process, low-frequency dispersive response, relaxation-peak type response, and non-dispersive polarization process. Based on this finding, the proposed equivalent model for dielectric response effectively characterizes the complex polarization processes of oil-paper insulation, providing the necessary model foundation for the analysis of dielectric responses. © Published under licence by IOP Publishing Ltd.
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| GB/T 7714 | Lin, X. , Zou, Y. . Research on equivalent modeling of wideband dielectric response of oil-paper insulation based on the Kramers-Kronig transform [未知]. |
| MLA | Lin, X. et al. "Research on equivalent modeling of wideband dielectric response of oil-paper insulation based on the Kramers-Kronig transform" [未知]. |
| APA | Lin, X. , Zou, Y. . Research on equivalent modeling of wideband dielectric response of oil-paper insulation based on the Kramers-Kronig transform [未知]. |
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准确预测变压器油纸绝缘寿命对于保障电力系统安全稳定运行具有重要意义。根据微观介电响应机制剖析界面极化与油纸绝缘老化的内在机理联系，并基于混合极化模型——一种在扩展德拜模型基础上引入界面极化支路的等效电路拓扑，探究界面电荷极化特性在油纸绝缘寿命预测中的应用。首先，分析温升过程中频谱特性变化背后蕴含的普适弛豫极化规律，基于混合极化模型重构回复电压极化谱。结合温度对主时间常数和模型参数的影响规律，提出一种单一温度测试下的油纸绝缘活化能计算方法，通过界面极化电容构建出频温平移因子。其次，剖析介质损耗因数随老化加深的变化规律，探究损耗峰偏移现象与界面极化弛豫时间的内在联系，凝练全新表征油纸绝缘聚合度含量的频域特征参量——界面极化支路极点Ph2。最后，联合界面极化支路极点Ph2、频温平移因子和损失累积动力学方程构建油纸绝缘寿命预测模型，并将不同运行年限变压器现场实测数据代入模型验证实效性，为油纸绝缘寿命预测提供了一种新思路。
Keyword ：
寿命预测 寿命预测 油纸绝缘 油纸绝缘 活化能 活化能 混合极化模型 混合极化模型 频域介电谱 频域介电谱
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| GB/T 7714 | 邹阳 , 陈啸轩 , 张云霄 et al. 基于界面电荷极化特性的变压器油纸绝缘寿命预测方法研究 [J]. | 电力系统保护与控制 , 2024 , 52 (07) : 138-148 . |
| MLA | 邹阳 et al. "基于界面电荷极化特性的变压器油纸绝缘寿命预测方法研究" . | 电力系统保护与控制 52 . 07 (2024) : 138-148 . |
| APA | 邹阳 , 陈啸轩 , 张云霄 , 林锦茄 , 林昕亮 . 基于界面电荷极化特性的变压器油纸绝缘寿命预测方法研究 . | 电力系统保护与控制 , 2024 , 52 (07) , 138-148 . |
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目前传统的窃电检测方法只能识别用户是否存在窃电,而无法针对各类型窃电用户进行快速准确稽查.针对中压用户具有用电量大、用电较为规律的特点,该文提出一种基于稳健回归和卷积神经网络的中压配电线路窃电类型检测方法.首先,考虑到受通信延迟中断等因素影响存在非正常数据的情况,采用稳健回归算法减小其影响,提高回归分析精度;其次,将回归所得的各用户修正系数及误差项作为用户窃电特征,输入卷积神经网络模型进行训练,以完成窃电类型识别;最后,通过仿真和实测数据进行该文方法的验证.结果表明,在不同扰动条件下,该文方法能准确识别不同类型窃电行为,能够更好地辅助现场排查,缩小排查范围,提高查实率.
Keyword ：
中压配电线路 中压配电线路 智能电表 智能电表 神经网络 神经网络 稳健回归 稳健回归 窃电检测 窃电检测
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| GB/T 7714 | 陈敏 , 张逸 , 邹阳 et al. 基于稳健回归和卷积神经网络的中压窃电类型检测方法 [J]. | 电网技术 , 2024 , 48 (11) : 4729-4738,中插75-中插79 . |
| MLA | 陈敏 et al. "基于稳健回归和卷积神经网络的中压窃电类型检测方法" . | 电网技术 48 . 11 (2024) : 4729-4738,中插75-中插79 . |
| APA | 陈敏 , 张逸 , 邹阳 , 辛荣 , 张良羽 , 高琛 et al. 基于稳健回归和卷积神经网络的中压窃电类型检测方法 . | 电网技术 , 2024 , 48 (11) , 4729-4738,中插75-中插79 . |
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