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学者姓名：郭谋发
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Abstract ：
Feeder detection for single-phase ground fault (SPGF) is challenging in a resonant grounded system due to the difference in feeder capacitance to ground and the influence of the arc suppression coil. This article uses semantic segmentation algorithms to implement feeder detection for SPGF in distribution networks. The proposed method overlays transient zero-sequence voltage (ZSV) derivatives and transient zero-sequence current (ZSC) waveforms on the same image. Then, a semantic segmentation algorithm is used to classify the pixel points of the image. The segmentation map output by the semantic segmentation algorithm contains category prediction results for each pixel in the input image. Detecting faulty feeders based on the number of pixels of different categories in the segmentation map can make the final decision-making process more transparent and easy to understand. The validity and adaptability of the proposed method have been confirmed through tests using both simulation and field data. The proposed method achieves an accuracy of over 95% on simulated data, even in the presence of noise interference and asynchronous sampling, etc. The proposed method, furthermore, achieves an accuracy of over 99% when applied to full-scale test data.
Keyword ：
Artificial intelligence Artificial intelligence distribution network distribution network feeder detection feeder detection semantic segmentation semantic segmentation single-phase ground fault (SPGF) single-phase ground fault (SPGF)
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| GB/T 7714 | Hong, Cui , Qiu, Heng-Yi , Gao, Jian-Hong et al. Semantic Segmentation-Based Intelligent Threshold-Free Feeder Detection Method for Single-Phase Ground Fault in Distribution Networks [J]. | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT , 2024 , 73 . |
| MLA | Hong, Cui et al. "Semantic Segmentation-Based Intelligent Threshold-Free Feeder Detection Method for Single-Phase Ground Fault in Distribution Networks" . | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 73 (2024) . |
| APA | Hong, Cui , Qiu, Heng-Yi , Gao, Jian-Hong , Lin, Shuyue , Guo, Mou-Fa . Semantic Segmentation-Based Intelligent Threshold-Free Feeder Detection Method for Single-Phase Ground Fault in Distribution Networks . | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT , 2024 , 73 . |
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针对现有的剩余电流保护装置无法有效识别触电事故的问题，该文提出了一种不均衡小样本下多特征优化选择的生命体触电故障识别方法。首先通过变分自编码器（VAE）对实验收集到的生命体触电小样本数据进行增殖以实现正负样本均衡；然后在时域上提取能够反映波形动态变化特性的23个特征量，并利用高斯核Fisher判别分析（GKFDA）与最大信息系数（MIC）法从中选择最优表达特征组；最后，提出基于遗忘因子的在线顺序极限学习机（FOS-ELM）算法实现生命体触电行为的鉴别。实验结果表明，所提方法利用不均衡小样本触电数据集就可以训练出一个优秀的分类模型，诊断准确率可达98.75%，诊断时间仅为1.33ms。其优良的性能结合在线增量式学习分类器设计，使得模型具备新知识学习能力，具有极好的工程应用前景。
Keyword ：
不均衡小样本 不均衡小样本 剩余电流保护装置 剩余电流保护装置 基于遗忘因子的在线顺序极限学习机(FOS-ELM) 基于遗忘因子的在线顺序极限学习机(FOS-ELM) 多特征优化选择 多特征优化选择 生命体触电故障 生命体触电故障
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| GB/T 7714 | 高伟 , 饶俊民 , 全圣鑫 et al. 不均衡小样本下多特征优化选择的生命体触电故障识别方法 [J]. | 电工技术学报 , 2024 , 39 (07) : 2060-2071 . |
| MLA | 高伟 et al. "不均衡小样本下多特征优化选择的生命体触电故障识别方法" . | 电工技术学报 39 . 07 (2024) : 2060-2071 . |
| APA | 高伟 , 饶俊民 , 全圣鑫 , 郭谋发 . 不均衡小样本下多特征优化选择的生命体触电故障识别方法 . | 电工技术学报 , 2024 , 39 (07) , 2060-2071 . |
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Two cascaded H-bridge converters (CHBC) are proposed to regulate the zero-sequence reactive current of distribution networks flexibly to realize the online ice-melting of ice-covered lines without power outages. The two CHBCs are connected in series to the grounding transformer at the head and end of the ice-covered lines. The zero-sequence voltage of the distribution networks is regulated by the end CHBC within the permissible range of insulation, and the resulting zero-sequence capacitive current to ground flows through the three-phase ice-covered conductors as ice-melting current, which realizes a better effect than the single-phase short-circuit current ice-melting. By regulating the capacitance current to the ground of the distribution networks through the head CHBC, the size of the ice-melting current can be adjusted arbitrarily. The proposed method does not require a single-phase grounding short circuit and can simultaneously accurately regulate the ice-melting current to melt ice in three-phase lines. CHBCs only have reactive interaction with the distribution networks, saving the capacity of DC sources, and the sum of power interactions is zero, which does not affect the normal supply voltage of the distribution networks, and there is no need for power outages for the entire network loads. The simulation and experimental results verify the feasibility and effectiveness of the proposed method and control scheme. © 2024 Power System Technology Press. All rights reserved.
Keyword ：
Bridge circuits Bridge circuits Capacitance Capacitance Electric grounding Electric grounding Electric loads Electric loads Ice Ice Outages Outages Power converters Power converters Reactive power Reactive power
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| GB/T 7714 | Zhang, Binlong , Zheng, Zeyin , Guo, Moufa . Online Ice-melting Method Based on Flexible Regulation of Zero-sequence Reactive Current for Ice-covered Lines in Distribution Networks Without Power Outages [J]. | Power System Technology , 2024 , 48 (2) : 913-922 . |
| MLA | Zhang, Binlong et al. "Online Ice-melting Method Based on Flexible Regulation of Zero-sequence Reactive Current for Ice-covered Lines in Distribution Networks Without Power Outages" . | Power System Technology 48 . 2 (2024) : 913-922 . |
| APA | Zhang, Binlong , Zheng, Zeyin , Guo, Moufa . Online Ice-melting Method Based on Flexible Regulation of Zero-sequence Reactive Current for Ice-covered Lines in Distribution Networks Without Power Outages . | Power System Technology , 2024 , 48 (2) , 913-922 . |
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Detecting high-impedance faults (HIFs) in distribution networks poses a significant challenge for conventional relay devices due to low fault currents and various characteristics such as weaker fault features, distortion offset, and background noise interference. This article introduces a novel and streamlined method for HIF detection, which ingeniously integrates frequency-band energy curve (FBEC) analysis and Gaussian smoothing to extract trend changes, thus enhancing the precision and effectiveness of HIF detection. The proposed method utilizes continuous wavelet transform (CWT) to extract the time-frequency spectrum from the zero-sequence current. By analyzing the feature-band energy, the FBEC is computed. To mitigate noise interference and enhance the periodic change pattern, a Gaussian filter is applied for smoothing. Distinguishing between HIF and normal operations, including low impedance fault (LIF), capacitor switching (CS), inrush current (IC), and ferromagnetic resonance (FR), is achieved by analyzing the peak points of FBEC. The proposed method's performance was extensively validated through simulations and field data. The performance of the proposed method was extensively validated through a series of simulations and detailed analysis of real-world field data. The results demonstrated an excellent detection performance on field data, with an impressive accuracy rate of 86.5% and an F-1 -score of 0.87. Moreover, we examined the method's resilience against noise using data with a signal-to-noise ratio (SNR) of 20 dB, resulting in a detection accuracy of 77.3% and an F-1 -score of 0.79. These findings underscore the method's clear physical meaning, strong interpretability, and versatility, establishing its effectiveness and practicality for real-world applications.
Keyword ：
Continuous wavelet transform (CWT) Continuous wavelet transform (CWT) distribution network distribution network Gaussian smoothing Gaussian smoothing high-impedance fault (HIF) high-impedance fault (HIF)
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| GB/T 7714 | Bai, Hao , Gao, Jian-Hong , Li, Wei et al. Detection of High-Impedance Fault in Distribution Networks Using Frequency-Band Energy Curve [J]. | IEEE SENSORS JOURNAL , 2024 , 24 (1) : 427-436 . |
| MLA | Bai, Hao et al. "Detection of High-Impedance Fault in Distribution Networks Using Frequency-Band Energy Curve" . | IEEE SENSORS JOURNAL 24 . 1 (2024) : 427-436 . |
| APA | Bai, Hao , Gao, Jian-Hong , Li, Wei , Wang, Kang , Guo, Mou-Fa . Detection of High-Impedance Fault in Distribution Networks Using Frequency-Band Energy Curve . | IEEE SENSORS JOURNAL , 2024 , 24 (1) , 427-436 . |
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Aiming at the problem that the existing single-phase-to-ground fault flexible compensation device has low compensation accuracy, long response time, and needs DC side power supply, a flexible compensation device based on double-loop passivity-based control is proposed. Firstly, the topology and working principle of the device are analyzed. And a compensation current distribution method of the bridge arm is proposed. Secondly, a double-loop passivity-based controller is designed. Finally, the proposed method is verified by MATLAB/Simulink software and 10 kV physical simulation system of distribution network. The comparisons between doubleloop passivity-based control, passivity-based control, and proportional integration control is discussed. The result shows that the proposed method can accurately and rapidly compensate the fault current.
Keyword ：
Distribution networks Distribution networks Double -loop passivity -based control Double -loop passivity -based control Flexible compensation Flexible compensation Single -phase -to -ground fault Single -phase -to -ground fault T -type topology T -type topology
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| GB/T 7714 | Guo, Mou-fa , Liu, Xin-bin , You, Jian-zhang et al. A flexible compensation device for single-phase-to-ground fault in distribution networks based on double-loop passivity-based control [J]. | INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS , 2024 , 157 . |
| MLA | Guo, Mou-fa et al. "A flexible compensation device for single-phase-to-ground fault in distribution networks based on double-loop passivity-based control" . | INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 157 (2024) . |
| APA | Guo, Mou-fa , Liu, Xin-bin , You, Jian-zhang , Zheng, Ze-yin , Wang, Zhi-ying . A flexible compensation device for single-phase-to-ground fault in distribution networks based on double-loop passivity-based control . | INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS , 2024 , 157 . |
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针对配电网中发生高阻接地故障(high impedance fault, HIF)进行特征提取时，人为构造的特征量或特征向量难以充分体现高阻接地故障区别于其他事件的特征问题，提出一种波形隐含特征提取方法.通过连续小波变换将零序电流转换为时频谱图，并分割为正方形切片，然后使用卷积神经网络辨识高阻接地故障特有的“齿”形特征.结果表明：文中所提方法能由波形中的高频分量得到可视化的时频谱图，省去了人为构造的特征量的步骤，避免了特征量难以准确表征HIF特征的问题，其可靠性在仿真及现场样本测试中得到了验证.
Keyword ：
卷积神经网络 卷积神经网络 图像分割 图像分割 时频谱图 时频谱图 深度学习 深度学习 配电网 配电网 高阻接地故障 高阻接地故障
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| GB/T 7714 | 庄文睿 , 郭谋发 . 基于时频谱图的配电网高阻接地故障智能识别方法 [J]. | 福州大学学报(自然科学版) , 2024 , 52 (01) : 53-60 . |
| MLA | 庄文睿 et al. "基于时频谱图的配电网高阻接地故障智能识别方法" . | 福州大学学报(自然科学版) 52 . 01 (2024) : 53-60 . |
| APA | 庄文睿 , 郭谋发 . 基于时频谱图的配电网高阻接地故障智能识别方法 . | 福州大学学报(自然科学版) , 2024 , 52 (01) , 53-60 . |
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The existing single-phase grounding (SPG) fault section location methods typically suffer from difficulty in feature selection, limited feeder terminal units (FTUs) configuration, and excessive dependence on communication, which weaken their generalization and robustness. To overcome these challenges, an SPG fault section location approach based on feature subset optimization is proposed. First, the relation between the position of FTU and its three-phase current variation is analyzed, and its fault features are extracted to construct the candidate feature sets as feature subset optimization objects. Then, genetic algorithm and support vector machine (SVM) are combined to select the optimal feature subset with small dimensions and recognition error, which avoids the empirical errors of artificial feature selection. To reduce the cumulative errors, the SVM hyperparameters are simultaneously optimized. Finally, the SVM model is trained based on the optimal feature subset and hyperparameters. In the absence of zero-sequence current measurement, three-phase currents measured by FTU are locally processed to locate the fault section by the trained SVM. The experimental results verified the effectiveness and feasibility of the proposed method. In this paper, a single-phase grounding fault section location method is proposed by using genetic algorithm and support vector machine (SVM) to achieve feature subset optimization. In the process of section identification, the empirical error caused by artificially selecting features is avoided, and cumulative errors of multiple links such as feature selection, parameter optimization, and model training are reduced. Additionally, the communication and measurement requirements are reduced since feeder terminal unit only needs to measure local three-phase current information. image
Keyword ：
distribution networks distribution networks fault section location fault section location feature subset optimization feature subset optimization genetic algorithm (GA) genetic algorithm (GA) single-phase grounding fault single-phase grounding fault support vector machine (SVM) support vector machine (SVM)
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| GB/T 7714 | Bai, Hao , Chen, Mu-Yan , Guo, Mou-Fa et al. Fault section location in resonant grounding distribution systems based on feature subset optimization of phase current variation [J]. | INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS , 2024 , 52 (9) : 4582-4599 . |
| MLA | Bai, Hao et al. "Fault section location in resonant grounding distribution systems based on feature subset optimization of phase current variation" . | INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS 52 . 9 (2024) : 4582-4599 . |
| APA | Bai, Hao , Chen, Mu-Yan , Guo, Mou-Fa , Liu, Yi-Peng , Gao, Jian-Hong . Fault section location in resonant grounding distribution systems based on feature subset optimization of phase current variation . | INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS , 2024 , 52 (9) , 4582-4599 . |
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提出采用两台级联H桥变流器(cascadedH-bridge converter,CHBC)柔性调控配电网零序无功电流，实现覆冰线路不停电在线融冰。两台CHBC分别串接在覆冰线路首端和末端的接地变压器。通过末端CHBC在绝缘允许范围内调控配电网零序电压，产生的零序对地电容电流作为融冰电流流过三相覆冰导线，实现较单相接地短路电流融冰更佳的效果。通过首端CHBC调控配电网对地电容电流，实现融冰电流大小的任意调节。所提方法无需做单相接地短路，能够精准调控融冰电流，实现三相线路同时融冰。CHBC与配电网仅存在无功交互，节省了直流稳压电源容量，且功率交互之和为零，不影响配电网正常供电电压，全网负荷无需停电。仿真和实验结果验证了所提方法及控制方案的可行性和有效性。
Keyword ：
三相覆冰线路 三相覆冰线路 不停电在线融冰 不停电在线融冰 柔性调控 柔性调控 级联H桥变流器 级联H桥变流器 配电网 配电网 零序无功电流 零序无功电流
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| GB/T 7714 | 张彬隆 , 郑泽胤 , 郭谋发 . 基于零序无功电流柔性调控的配电网覆冰线路不停电在线融冰方法 [J]. | 电网技术 , 2024 , 48 (02) : 913-928 . |
| MLA | 张彬隆 et al. "基于零序无功电流柔性调控的配电网覆冰线路不停电在线融冰方法" . | 电网技术 48 . 02 (2024) : 913-928 . |
| APA | 张彬隆 , 郑泽胤 , 郭谋发 . 基于零序无功电流柔性调控的配电网覆冰线路不停电在线融冰方法 . | 电网技术 , 2024 , 48 (02) , 913-928 . |
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The complicated operating conditions of distribution networks may be prone to single-phase grounding (SPG) fault. Based on statistics, SPG faults account for more than 80% of all fault types in the distribution networks. Arc suppression coil can typically compensate for most of the capacitive fault current but cannot eliminate the fault voltage, and the residual fault current, including the active current, is still high. To limit fault current completely and eliminate voltage simultaneously, a cascaded grid-connected converter (CGCC) coupled with an arc suppression coil is presented in this paper. However, with the increase of nonlinear loads, the transmission lines contain a large amount of harmonic current. Thus, the CGCC is proposed to compensate the harmonic current simultaneously by controlling its d-axis and q-axis output components, and to control the 0-axis output component for arc suppression, and the controls of harmonic compensation and arc suppression are decoupled, so that the utilization and cost-effectiveness are improved. © 2024 IEEE.
Keyword ：
Arc suppression coil Arc suppression coil flexible arc suppression flexible arc suppression harmonic compensation harmonic compensation single-phase ground fault single-phase ground fault
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| GB/T 7714 | Ke, Q.-X. , Zhang, B.-L. , Zheng, Z.-Y. et al. Cascaded Grid-Connected Converter Coupled with Peterson Coil for Harmonic Compensation and Arc Suppression in Distribution Networks [未知]. |
| MLA | Ke, Q.-X. et al. "Cascaded Grid-Connected Converter Coupled with Peterson Coil for Harmonic Compensation and Arc Suppression in Distribution Networks" [未知]. |
| APA | Ke, Q.-X. , Zhang, B.-L. , Zheng, Z.-Y. , Guo, M.-F. . Cascaded Grid-Connected Converter Coupled with Peterson Coil for Harmonic Compensation and Arc Suppression in Distribution Networks [未知]. |
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To address the existing issue of electric shock incidents that cannot be accurately identified by current leakage protection devices, this paper presents a novel electric shock accident recognition method. Firstly, the method of singular spectrum analysis (SSA) is employed to extract the main components of leakage recording data. Subsequently, 20 temporal domain features of the leakage current waveform are extracted. Then, an ensemble learning model based on extreme gradient boosting (XGBoost), categorical boosting (CatBoost) and random forest (RF), is established to select optimal features that best represent the sample characteristics from the feature set. Finally, support vector machine (SVM) is used to classify the extracted dataset. Experimental results demonstrate that this method can rapidly differentiate between electric shock faults and common leakage faults, achieving an accuracy rate as high as 99%, indicating its feasibility. © 2024 IEEE.
Keyword ：
electric shock faults identification electric shock faults identification feature selection feature selection leakage protection device leakage protection device singular spectrum analysis (SSA) singular spectrum analysis (SSA)
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| GB/T 7714 | Chen, Y.-L. , Gao, W. , Rao, J.-M. et al. Electric Shock Accident Detection Method Based on Ensemble Decision Trees Boosting for Feature Selection [未知]. |
| MLA | Chen, Y.-L. et al. "Electric Shock Accident Detection Method Based on Ensemble Decision Trees Boosting for Feature Selection" [未知]. |
| APA | Chen, Y.-L. , Gao, W. , Rao, J.-M. , Guo, M.-F. , Zheng, Z.-Y. . Electric Shock Accident Detection Method Based on Ensemble Decision Trees Boosting for Feature Selection [未知]. |
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