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学者姓名：邹阳
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Abstract ：
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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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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Abstract ：
针对源荷波动性造成交直流混合配电网节点电压失稳、风光损失率高和系统运维成本高等问题,提出一种计及网络重构与需求响应的交直流混合配电网低碳优化运行方法.首先,建立面向交直流混合配电网的阶梯式碳交易模型.其次,以系统经济性和低碳性为优化目标,考虑网络重构、需求响应、电容器投切、分布式电源接入和储能充放电等多种约束,建立交直流混合配电网低碳优化运行模型.接着,通过引入中间变量和二阶锥松弛方法将非凸的配电网优化模型转化为混合整数凸规划模型并进行求解.最后,通过改进的IEEE33节点交直流混合配电网系统对所提方法进行仿真分析,结果表明所提方法能够显著减少系统运行产生的碳排放量和风光损失率,提升系统电压稳定性和调度经济性.
Keyword ：
交直流混合配电网 交直流混合配电网 可再生能源消纳 可再生能源消纳 网络重构 网络重构 阶梯式碳交易 阶梯式碳交易 需求响应 需求响应
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| GB/T 7714 | 石松浩 , 邹阳 , 姚雨佳 et al. 阶梯式碳交易机制下基于网络重构的交直流混合配电网优化运行 [J]. | 南方电网技术 , 2025 , 19 (3) : 96-105 . |
| MLA | 石松浩 et al. "阶梯式碳交易机制下基于网络重构的交直流混合配电网优化运行" . | 南方电网技术 19 . 3 (2025) : 96-105 . |
| APA | 石松浩 , 邹阳 , 姚雨佳 , 黄煜 , 方梦泓 , 金涛 . 阶梯式碳交易机制下基于网络重构的交直流混合配电网优化运行 . | 南方电网技术 , 2025 , 19 (3) , 96-105 . |
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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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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 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 networks. Firstly, considering 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 the 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 the on-site investigation, narrow the investigation scope, and improve the verification rate. © 2024 Power System Technology Press. All rights reserved.
Keyword ：
Convolution Convolution Convolutional neural networks Convolutional neural networks Power distribution lines Power distribution lines Regression analysis Regression analysis
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| GB/T 7714 | Chen, Min , Zhang, Yi , Zou, Yang et al. A Medium-voltage Stealing Type Detection Method Based on Robust Regression and Convolutional Neural Network [J]. | Power System Technology , 2024 , 48 (11) : 4729-4738 . |
| MLA | Chen, Min et al. "A Medium-voltage Stealing Type Detection Method Based on Robust Regression and Convolutional Neural Network" . | Power System Technology 48 . 11 (2024) : 4729-4738 . |
| APA | Chen, Min , Zhang, Yi , Zou, Yang , Xin, Rong , Zhang, Liangyu , Gao, Chen et al. A Medium-voltage Stealing Type Detection Method Based on Robust Regression and Convolutional Neural Network . | Power System Technology , 2024 , 48 (11) , 4729-4738 . |
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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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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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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.
Keyword ：
Electricity stealing detection Electricity stealing detection Medium voltage distribution lines Medium voltage distribution lines Neural network Neural network Robust regression Robust regression Smart meter Smart meter
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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 & 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 & 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 & ENERGY SYSTEMS , 2024 , 160 . |
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The random output of renewable energy and the disorderly grid connection of electric vehicles (EV) will pose challenges to the safe and stable operation of the power system. In order to ensure the reliability and symmetry of the microgrid operation, this paper proposes a microgrid optimization scheduling strategy considering the access of EVs. Firstly, in order to reduce the impact of random access to EVs on power system operation, a schedulable model of an EV cluster is constructed based on the Minkowski sum. Then, based on the wavelet neural network (WNN), the renewable energy output is predicted to reduce the influence of its output fluctuation on the operation of the power system. Considering the operation constraints of each unit in the microgrid, the network active power loss and node voltage deviation are taken as the optimization objectives, and the established microgrid model is equivalently transformed via second-order cone relaxation to improve its solution efficiency. Based on network reconfiguration and flexible load participation in demand response, the economy and reliability of system operation are improved. Finally, the feasibility and effectiveness of the proposed method are verified based on the simulation examples.
Keyword ：
demand response demand response electric vehicles electric vehicles microgrid microgrid multi-objective optimization multi-objective optimization network reconfiguration network reconfiguration
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| GB/T 7714 | Wu, Zhimin , Zou, Yang , Zheng, Feng et al. Research on Optimal Scheduling Strategy of Microgrid Considering Electric Vehicle Access [J]. | SYMMETRY-BASEL , 2023 , 15 (11) . |
| MLA | Wu, Zhimin et al. "Research on Optimal Scheduling Strategy of Microgrid Considering Electric Vehicle Access" . | SYMMETRY-BASEL 15 . 11 (2023) . |
| APA | Wu, Zhimin , Zou, Yang , Zheng, Feng , Liang, Ning . Research on Optimal Scheduling Strategy of Microgrid Considering Electric Vehicle Access . | SYMMETRY-BASEL , 2023 , 15 (11) . |
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