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学者姓名：黄奕钒
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Abstract ：
The optical voltage transducer (OVT) based on the Pockels effect has a perennial issue of the thermal stress linear birefringence (TSLB) in the electro-optic crystal being overlapped with the electro-optic phase delay, which is difficult to be eliminated and seriously affects the measurement accuracy and reliability. In this paper an AC zero crossing compensation method for TSLB is proposed. It is based on that when the steady-state AC voltage crosses zero points the electric field is zero, and the electro-optic crystal does not have any electro-optic effect, so the electro-optic phase delay is zero. In this case, the output of the OVT is an additional phase delay caused by the TSLB, which can be separated and compensated by the linear demodulation OVT and the AC zero crossing detection circuit. The experimental results show that in the temperature range of -40 degrees C to 70 degrees C, the measurement accuracy of the OVT after TSLB compensation is improved from 0.5 class to 0.2 class. This method is helpful for the practicality of the OVT.
Keyword ：
AC zero crossing AC zero crossing compensation compensation electro-optic phase delay electro-optic phase delay optical voltage transducer optical voltage transducer thermal stress linear birefringence thermal stress linear birefringence
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| GB/T 7714 | Huang, Yifan , Xu, Qifeng , Li, Chao et al. AC zero crossing compensation for thermal stress linear birefringence in optical voltage transducer [J]. | MEASUREMENT SCIENCE AND TECHNOLOGY , 2024 , 35 (1) . |
| MLA | Huang, Yifan et al. "AC zero crossing compensation for thermal stress linear birefringence in optical voltage transducer" . | MEASUREMENT SCIENCE AND TECHNOLOGY 35 . 1 (2024) . |
| APA | Huang, Yifan , Xu, Qifeng , Li, Chao , Tan, Qiao . AC zero crossing compensation for thermal stress linear birefringence in optical voltage transducer . | MEASUREMENT SCIENCE AND TECHNOLOGY , 2024 , 35 (1) . |
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The development of electrical measurement technology has brought high latitude residential electricity consumption data to power companies, which contains the characteristics of users' electricity consumption behavior and provides data support for the behavior classification. In order to improve the efficiency of data feature extraction and the accuracy of electricity consumption behavior identification, a classification model based on sparse denoising autoencoder feature dimensionality reduction and spectral clustering is proposed in this paper. Firstly, the sparse denoising autoencoder (SDAE) and the manually defining electricity consumption characteristic indicators are deployed to extract features from the residential daily electricity consumption data, and then the spectral clustering is employed to classify the extracted electricity consumption characteristics. Secondly, the t-distributed stochastic neighbor embedding (t-SNE) is applied to visualize and analyze the classification results, and on this basis, the secondary classification is implemented to fix the issue of the confused electricity consumption behaviors. Finally, the typical consumption behavior curves are calculated by Gaussian distance weighting method, and the characteristics of power consumption behavior are analyzed and summarized. The proposed approach is evaluated and verified by using the electricity dataset in Fujian, China. © 2024 The Authors
Keyword ：
Classification (of information) Classification (of information) Clustering algorithms Clustering algorithms Data mining Data mining Electric power utilization Electric power utilization Electric utilities Electric utilities Extraction Extraction Feature extraction Feature extraction Housing Housing Learning systems Learning systems Reduction Reduction Stochastic systems Stochastic systems
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| GB/T 7714 | Huang, Yifan , Yao, Zhengnan , Xu, Qifeng . Classification model of electricity consumption behavior based on sparse denoising autoencoder feature dimensionality reduction and spectral clustering [J]. | International Journal of Electrical Power and Energy Systems , 2024 , 158 . |
| MLA | Huang, Yifan et al. "Classification model of electricity consumption behavior based on sparse denoising autoencoder feature dimensionality reduction and spectral clustering" . | International Journal of Electrical Power and Energy Systems 158 (2024) . |
| APA | Huang, Yifan , Yao, Zhengnan , Xu, Qifeng . Classification model of electricity consumption behavior based on sparse denoising autoencoder feature dimensionality reduction and spectral clustering . | International Journal of Electrical Power and Energy Systems , 2024 , 158 . |
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针对无人值守的变电站频繁出现鸟巢、塑料袋等异物入侵的问题，现有的区域卷积神经网络(R-CNN)和YOLO算法不能满足实时、准确检测识别的要求。因此提出一种基于改进YOLOv7的图像识别方法。首先，利用灰度化处理和高斯噪声增强图片数据，然后在特征提取网络中增加分支以提高小目标的检测能力。在此基础上，采用卷积块注意模块(CBAM)分支注意力机制来加强通道数和空间自适应学习能力，并在输出路径上引入SimAM注意力机制，使其在不增加参数的情况下提高模型对异物特征的提取能力，最后通过某变电站实际监控图进行算法验证。结果表明改进后的YOLOv7异物识别平均精度均值(mAP)为94.40%,比原YOLOv7mAP提升了3.69%,比Faster R-CNN和SSD分别提高了17.46%和16.66%,可以做到对变电站异物的实时检测识别，所提方法具有较好的可行性和工程使用价值。
Keyword ：
变电站 变电站 图像识别 图像识别 异物入侵 异物入侵 注意力机制 注意力机制
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| GB/T 7714 | 张泽龙 , 林穿 , 黄奕钒 . 基于改进YOLOv7模型的变电站异物入侵识别 [J]. | 国外电子测量技术 , 2023 , 42 (06) : 180-187 . |
| MLA | 张泽龙 et al. "基于改进YOLOv7模型的变电站异物入侵识别" . | 国外电子测量技术 42 . 06 (2023) : 180-187 . |
| APA | 张泽龙 , 林穿 , 黄奕钒 . 基于改进YOLOv7模型的变电站异物入侵识别 . | 国外电子测量技术 , 2023 , 42 (06) , 180-187 . |
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The insulation method of traditional electromagnetic current transformers (CTs) is single-stage insulated, and the insulation materials include oil, SF6 gas, polytetrafluoroethylene (PTFE) film, and epoxy resin. It has to deploy multiple capacitive screens for voltage equalization to improve the electric field distribution, which results in complex insulation structure and high cost. A multistage dry insulated CT for measurement is proposed in this article, which is composed of multistage CTs in series and insulated by epoxy resin, so the line voltage is shared by the multistage CTs. Therefore, a five-stage prototype CT is analyzed and designed, and the structure, the measurement principle, the electric field distribution, the technical characteristics, and the error calculation and compensation of this CT are explored. The results show that the proposed dry CT meets the 0.2S class accuracy and has advantages of low insulation cost, high safety, environmental protection, and so on.
Keyword ：
Current transformers Current transformers Dry insulated Dry insulated electric field distribution electric field distribution Electric fields Electric fields electromagnetic current transformer (CT) electromagnetic current transformer (CT) Epoxy resins Epoxy resins Insulation Insulation Magnetic cores Magnetic cores multistage multistage Oils Oils Windings Windings
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| GB/T 7714 | Xu, Qifeng , Zhang, Junfeng , Huang, Yifan et al. A Multistage Dry Insulated Current Transformer [J]. | IEEE SENSORS JOURNAL , 2023 , 23 (5) : 5339-5344 . |
| MLA | Xu, Qifeng et al. "A Multistage Dry Insulated Current Transformer" . | IEEE SENSORS JOURNAL 23 . 5 (2023) : 5339-5344 . |
| APA | Xu, Qifeng , Zhang, Junfeng , Huang, Yifan , Tan, Qiao . A Multistage Dry Insulated Current Transformer . | IEEE SENSORS JOURNAL , 2023 , 23 (5) , 5339-5344 . |
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目前人工或计算机辅助开票，均存在智能辅助手段不足的问题，无法满足电网智能化运行管理的要求。因此提出了一种基于优势行动者-评论家(A2C)算法的智能操作票生成方法，包括建立了以间隔为基本单元的变电站拓扑模型，然后基于SCADA系统的遥测、遥信等信息搭建智能体实时开票环境，以确保开票环境的真实性和实时性，最后设计了A2C算法的环境状态、动作选择与奖惩函数，并进行了实例验证。结果表明，所提方法能够可靠实现指定任务的操作票智能生成的目的，表明了该模型和算法的实用性。
Keyword ：
优势行动者-评论家 优势行动者-评论家 倒闸操作 倒闸操作 变电站 变电站 强化学习 强化学习 操作票 操作票
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| GB/T 7714 | 付乐勇 , 徐启峰 , 黄奕钒 . 基于优势执行者-评论家算法的智能操作票生成方法 [J]. | 电气开关 , 2023 , 61 (05) : 18-23 . |
| MLA | 付乐勇 et al. "基于优势执行者-评论家算法的智能操作票生成方法" . | 电气开关 61 . 05 (2023) : 18-23 . |
| APA | 付乐勇 , 徐启峰 , 黄奕钒 . 基于优势执行者-评论家算法的智能操作票生成方法 . | 电气开关 , 2023 , 61 (05) , 18-23 . |
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J-A磁滞理论被广泛应用于电磁式电流互感器的磁特性建模，但是在谐波条件下该模型存在较大的误差。针对这一问题，文中对各次谐波分别修正经典J-A模型参数，利用遗传退火算法进行参数辨识，然后将各次谐波的磁特性进行线性叠加，实现非正弦激励下电流互感器的磁特性建模。采用该修正方法的前提是计量用电流互感器的非线性误差符合规定的0.2S级，因此对各次谐波磁滞回线的仿真分析与误差修正均近似适用于线性叠加原理。以采用纳米晶材料的0.2S级电流互感器为例，对角差与比差进行仿真分析与实验验证，结果表明经过参数修正的J-A模型改善了谐波条件下的测量准确度，多次谐波磁特性的近似线性叠加方法对测量准确度的影响可以忽略不计，从而确认计及谐波的J-A磁滞模型修正合理有效。
Keyword ：
J-A磁滞模型 J-A磁滞模型 参数修正 参数修正 电磁式电流互感器 电磁式电流互感器 线性叠加 线性叠加 谐波 谐波 遗传退火算法 遗传退火算法
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| GB/T 7714 | 肖贤博 , 徐启峰 , 吴姝婷 et al. 计及谐波的J-A磁滞模型修正 [J]. | 电力工程技术 , 2023 , 42 (05) : 205-213 . |
| MLA | 肖贤博 et al. "计及谐波的J-A磁滞模型修正" . | 电力工程技术 42 . 05 (2023) : 205-213 . |
| APA | 肖贤博 , 徐启峰 , 吴姝婷 , 黄奕钒 , 谭巧 . 计及谐波的J-A磁滞模型修正 . | 电力工程技术 , 2023 , 42 (05) , 205-213 . |
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The J-A hysteresis theory is widely used in the modeling of magnetic characteristics of electromagnetic current transformers (CTs), but there is a large error in the model when considering the harmonics excitation, and unfortunately, the harmonic pollution in modern power grids is becoming more and more serious. Considering that the nonlinearity error of the CT for measurement is less than 0.2S, that is, the ratio error at 100% rated current is <0.2%, and the phase error is <10 ', the correction of the magnetic characteristics of each harmonic is approximately applicable to the principle of linear superposition. Therefore, this article uses the dung beetle algorithm (DBA) to identify the parameters, corrects the J-A model parameters for each harmonic, and then linearly superimposes the magnetic characteristics of each harmonic to realize the magnetic characteristics modeling. Taking the 0.2S permalloy core CT as an example, the simulation analysis and experimental results show that the proposed method can accurately reflect the transmission characteristics of the CT at harmonic excitation. The approximate linear superposition of the multiple harmonics magnetic characteristics introduces a ratio error of 0.01% and a phase error of 0.5 ', and its influence can be ignored, thus confirming that the correction method is reasonable and effective.
Keyword ：
Dung beetle algorithm (DBA) Dung beetle algorithm (DBA) electromagnetic current transformer (CT) electromagnetic current transformer (CT) harmonics harmonics J-A hysteresis model J-A hysteresis model linear superposition linear superposition
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| GB/T 7714 | Xu, Qifeng , He, Yulong , Huang, Yifan et al. Harmonics Correction of J-A Hysteresis Model [J]. | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT , 2023 , 72 . |
| MLA | Xu, Qifeng et al. "Harmonics Correction of J-A Hysteresis Model" . | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 72 (2023) . |
| APA | Xu, Qifeng , He, Yulong , Huang, Yifan , Xiao, Xianbo , Tan, Qiao . Harmonics Correction of J-A Hysteresis Model . | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT , 2023 , 72 . |
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User electricity data contains the characteristics of residential users' electricity consumption behavior. In order to help power companies formulate demand response plans and time of use electricity prices, and better extract electricity consumption behavior characteristics, this paper proposes an electricity consumption behavior classification model based on sparse denoising autoencoder (SDAE) feature dimensionality reduction and K-means clustering. Firstly, sparse denoising autoencoder is used to learn features, and K-means clustering is used for classification. Visualize the classification results using the t-distributed stochastic neighbor embedding (t-SNE) method, calculate typical user curves using Gaussian distance weighting, and analyze the characteristics of the electricity consumption curve. The effectiveness of the proposed method was verified by calculating and comparing the clustering indicators of other common dimensionality reduction methods. © 2023 IEEE.
Keyword ：
Classification (of information) Classification (of information) Electric loads Electric loads Electric power utilization Electric power utilization Electric utilities Electric utilities Housing Housing K-means clustering K-means clustering Learning systems Learning systems Reduction Reduction Stochastic systems Stochastic systems
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| GB/T 7714 | Yao, Zhengnan , Wei, Feishen , Huang, Yifan . Residential Electricity Behavior Classification Model Based on Sparse Denoising Autoencoder And K-Means [C] . 2023 : 506-510 . |
| MLA | Yao, Zhengnan et al. "Residential Electricity Behavior Classification Model Based on Sparse Denoising Autoencoder And K-Means" . (2023) : 506-510 . |
| APA | Yao, Zhengnan , Wei, Feishen , Huang, Yifan . Residential Electricity Behavior Classification Model Based on Sparse Denoising Autoencoder And K-Means . (2023) : 506-510 . |
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为了实现法拉第磁光角的直接观测，设计了一个基于纳米径向偏振光栅的法拉第磁光角测量系统。介绍了法拉第磁光角测量系统的检测原理、光路设计以及操作步骤，并搭建了仿真和实验平台对系统的可行性进行验证。结果表明，该系统不仅能够实现0°～360°法拉第磁光角的测量，还能够呈现磁场作用下法拉第磁光角的动态变化过程。该系统有助于学生掌握法拉第磁光角与磁场的直接关系，加深对法拉第效应的理解与认识。
Keyword ：
实验教学 实验教学 法拉第效应 法拉第效应 法拉第磁光角 法拉第磁光角 测量 测量 纳米径向偏振光栅 纳米径向偏振光栅
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| GB/T 7714 | 黄奕钒 , 李金华 , 徐启峰 et al. 纳米径向偏振光栅的法拉第磁光角测量系统 [J]. | 实验室研究与探索 , 2023 , 42 (11) : 58-61,85 . |
| MLA | 黄奕钒 et al. "纳米径向偏振光栅的法拉第磁光角测量系统" . | 实验室研究与探索 42 . 11 (2023) : 58-61,85 . |
| APA | 黄奕钒 , 李金华 , 徐启峰 , 谭巧 . 纳米径向偏振光栅的法拉第磁光角测量系统 . | 实验室研究与探索 , 2023 , 42 (11) , 58-61,85 . |
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Human reliability analysis (HRA) is a proactive approach to model and evaluate systematic human errors and has been extensively implemented in various complicated systems. The assessment of human errors relies heavily on the knowledge and experience of experts in real-world cases. Moreover, there are usually specific sorts of uncertainty while experts use linguistic labels to evaluate human failure events. In this context, this paper seeks to establish a new model based on the hesitant fuzzy matrix (HFM) and the cognitive reliability and error analysis method (CREAM) to conduct a quantitative analysis of human errors. This model handles the multiple crisp scores of the common performance conditions (CPCs) given by experts according to the context description in terms of CPCs, determines the weights of CPCs by the HFM, and elicits the human error probability (HEP) point estimation formula considering consequences based on the CREAM. Finally, the effectiveness and practicality of the presented HFM-CREAM model are demonstrated through the emergency response analysis of the steam generator tube rupture (SGTR) in nuclear power plant.
Keyword ：
cognitive reliability and error analysis method (CREAM) cognitive reliability and error analysis method (CREAM) hesitant fuzzy matrix (HFM) hesitant fuzzy matrix (HFM) human error probability (HEP) human error probability (HEP) human reliability human reliability the common performance conditions (CPCs) the common performance conditions (CPCs)
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| GB/T 7714 | Lin, Chuan , Xu, Qi Feng , Huang, Yi Fan . An HFM-CREAM model for the assessment of human reliability and quantification [J]. | QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL , 2022 , 38 (5) : 2372-2387 . |
| MLA | Lin, Chuan et al. "An HFM-CREAM model for the assessment of human reliability and quantification" . | QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL 38 . 5 (2022) : 2372-2387 . |
| APA | Lin, Chuan , Xu, Qi Feng , Huang, Yi Fan . An HFM-CREAM model for the assessment of human reliability and quantification . | QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL , 2022 , 38 (5) , 2372-2387 . |
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