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学者姓名：郭谋发
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Abstract ：
Identifying fault sections in single-phase ground (SPG) faults is essential for electric utilities to promptly isolate faults and restore service. A deep learning-based approach leveraging feature fusion has been proposed for SPG fault section location, utilizing transient zero-sequence currents (TZSCs) captured by feeder terminal units (FTUs). Initially, a convolutional neural network (ConvNet) is pre-trained on TZSC waveforms to distinguish data from the upstream and downstream of the fault point, acting as a feature extractor. This pre-training enables the model to capture distinct transient characteristics from both ends of the fault. The pre-trained ConvNet is then replicated to form a dual-branch architecture, where TZSC data from both ends of the feeder section are input into the respective branches. The features extracted from these branches are concatenated at a fusion layer, allowing the model to effectively integrate the transient information from upstream and downstream, leading to more precise fault section location. Compared with existing methods, our approach demonstrates robustness under various conditions, including simulation verification and field verification. Extensive testing shows that the model maintains high performance even with limited field data, and fine-tuning further enhances its practical applicability for engineering. Moreover, an industrial prototype utilizing Raspberry Pi 4B has been implemented in real-world distribution networks, where fault data are transmitted to the main station, further optimizing the fault section location process using our proposed approach.
Keyword ：
Fault section location Fault section location Feature fusion Feature fusion One-dimension convolutional neural network One-dimension convolutional neural network Resonant distribution networks Resonant distribution networks
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| GB/T 7714 | Gao, Jian-Hong , Guo, Mou-Fa , Lin, Shuyue et al. Deep learning approach for single-phase ground fault section location via feature fusion in resonant distribution networks [J]. | EXPERT SYSTEMS WITH APPLICATIONS , 2025 , 268 . |
| MLA | Gao, Jian-Hong et al. "Deep learning approach for single-phase ground fault section location via feature fusion in resonant distribution networks" . | EXPERT SYSTEMS WITH APPLICATIONS 268 (2025) . |
| APA | Gao, Jian-Hong , Guo, Mou-Fa , Lin, Shuyue , Chen, Duan-Yu , Bai, Hao . Deep learning approach for single-phase ground fault section location via feature fusion in resonant distribution networks . | EXPERT SYSTEMS WITH APPLICATIONS , 2025 , 268 . |
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Complex single-phase ground fault (SPGF) is a challenging problem for early detection and type recognition in resonant distribution networks. This paper proposes a novel semantic-segmentation-based approach that leverages the morphological information of zero-sequence voltage signals to extract diverse semantic features representing fault inception (FI), fault disappearance (FD), and short-term transient fault (STF). A 1D-UNet model is employed to classify each sample point into one of these categories, which enables the determination of the moment and duration of SPGF. Based on these features, three types of SPGF are recognized: permanent fault (PF), long-term transient fault(LTF), and short-term transient fault (STF). Due to its low power consumption and costeffectiveness, an industrial prototype integrated with the proposed approach has been developed using a Raspberry Pi board. The proposed approach achieves an overall accuracy of over 94 % in classifying sample points across diverse categories. Specifically, the individual accuracies for detecting sample points belonging to FI, FD, and STF were 0.978, 0.968, and 0.971, respectively. From an engineering application perspective, the proposed approach effectively identifies the moment of fault occurrence, whether it is PF, LTF, or STF. The maximum, minimum, and median triggering deviations were 10.8 ms,-6.4 ms, and-0.4 ms, respectively, significantly outperforming existing methods in terms of fault moment triggering deviation. The experimental results demonstrate that the proposed approach works effectively for early detection and type recognition of SPGF, showcasing significant potential for further expansion and broader application.
Keyword ：
Early detection Early detection Resonant distribution networks Resonant distribution networks Semantic segmentation Semantic segmentation Single-phase ground fault Single-phase ground fault Type recognition Type recognition
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| GB/T 7714 | Gao, Jian-Hong , Guo, Mou-Fa , Lin, Shuyue et al. Semantic-segmentation-based approach for early detection and type recognition of single-phase ground fault in resonant distribution networks [J]. | APPLIED SOFT COMPUTING , 2025 , 171 . |
| MLA | Gao, Jian-Hong et al. "Semantic-segmentation-based approach for early detection and type recognition of single-phase ground fault in resonant distribution networks" . | APPLIED SOFT COMPUTING 171 (2025) . |
| APA | Gao, Jian-Hong , Guo, Mou-Fa , Lin, Shuyue , Chen, Duan-Yu , Bai, Hao . Semantic-segmentation-based approach for early detection and type recognition of single-phase ground fault in resonant distribution networks . | APPLIED SOFT COMPUTING , 2025 , 171 . |
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Single-line ground (SLG) faults are the most common faults in distribution networks. Cascaded H-bridge multilevel converters (CHMCs) can be employed to suppress fault current and potential and prevent hazards promptly. However, their application is limited by their high cost and large size. This article proposes a cost- and size-efficient implementation method of single-phase CHMC for fault suppression, performed by minimizing the required dc sources. In this method, the output voltage vector of CHMC is reconstructed during fault elimination by two mutually perpendicular subvoltage vectors, one perpendicular and the other parallel to the target output current vector of CHMC. The subvoltage parallel to the target output current, which provides all required active power output, is generated using an H-bridge cell supplied by a dc source with minimized capacity. The remaining H-bridge cells generate the subvoltage perpendicular to the target output current without any dc source employment since they are solely responsible for reactive power output, thus maintaining their dc capacitor voltages. The simulation study and experimental validation have been conducted, and the results demonstrate that not only is the proposed method cost- and size-effective but also effectively ensures SLG fault elimination.
Keyword ：
Active arc suppression Active arc suppression active distribution networks active distribution networks cascaded H-bridge multilevel converter (CHMC) cascaded H-bridge multilevel converter (CHMC) Circuit faults Circuit faults Costs Costs Distribution networks Distribution networks Fault currents Fault currents fault elimination fault elimination Inductors Inductors minimizing dc sources minimizing dc sources Power electronics Power electronics Reactive power Reactive power single-line ground (SLG) fault single-line ground (SLG) fault Vectors Vectors Voltage Voltage Voltage control Voltage control
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| GB/T 7714 | Zhang, Bin-Long , Guo, Mou-Fa , Lak, Mohammadreza et al. Minimizing Required DC Sources of Cascaded H-Bridge Multilevel Converter for Fault Suppression in Active Distribution Networks [J]. | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS , 2024 , 72 (6) : 5761-5770 . |
| MLA | Zhang, Bin-Long et al. "Minimizing Required DC Sources of Cascaded H-Bridge Multilevel Converter for Fault Suppression in Active Distribution Networks" . | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 72 . 6 (2024) : 5761-5770 . |
| APA | Zhang, Bin-Long , Guo, Mou-Fa , Lak, Mohammadreza , Lin, Chih-Min , Hong, Qiteng . Minimizing Required DC Sources of Cascaded H-Bridge Multilevel Converter for Fault Suppression in Active Distribution Networks . | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS , 2024 , 72 (6) , 5761-5770 . |
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Abstract ：
低压交流系统过电流原理短路保护方法受限于短路检测特征单一,已难以满足复杂工况下系统运行保护,分布式光伏、储能等柔性装置接入给低压保护技术带来新挑战.因此,提出节点自治的含分布式光伏低压交流系统短路快速保护方法.首先,以短路电流、电压瞬时幅值构建支路状态特征,研究短路状态早期辨识方法.其次,引入同节点各支路短路电流极性信息,设计基于短路电流方向相关性辨识的短路支路保护决策机制.最后,进行低压真型系统及其仿真模型的保护实验.实验结果表明,传统支路和光伏并网支路的短路均可在0.5 ms内检出;不同节点间的保护响应范围合理搭配,且对于同一节点的近端短路,各支路可在短路1 ms内独立决断是否触发保护,保障了保护方法的选择性;保护方法在各类源荷运行工况扰动下不误动,研究成果具有较高的理论和工程价值.
Keyword ：
低压交流系统 低压交流系统 保护决策机制 保护决策机制 分布式光伏 分布式光伏 短路故障 短路故障 短路状态早期检测 短路状态早期检测
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| GB/T 7714 | 庄胜斌 , 缪希仁 , 郭谋发 . 含分布式光伏低压交流系统短路快速保护方法 [J]. | 电网技术 , 2024 , 48 (12) : 5138-5148 . |
| MLA | 庄胜斌 et al. "含分布式光伏低压交流系统短路快速保护方法" . | 电网技术 48 . 12 (2024) : 5138-5148 . |
| APA | 庄胜斌 , 缪希仁 , 郭谋发 . 含分布式光伏低压交流系统短路快速保护方法 . | 电网技术 , 2024 , 48 (12) , 5138-5148 . |
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Abstract ：
The primary problem of distribution system protection is single-line-to-ground (SLG) fault, particularly in networks with distributed generators (DGs), where asymmetrical phase sequence components caused by SLG faults may lead to system instability. Currently, the location and suppression methods of SLG faults are based on reliable fault diagnosis. Therefore, considering the imbalance of line parameters, this paper analyzes the fault characteristics of zero-sequence voltage (ZSV), and proposes a threshold-online-calculating-based SLG fault diagnosis method, which includes fault detection, fault occurrence moment capture and fault nature estimation. Firstly, the ZSV is measured in real time by the designed feeder terminal unit (FTU), which is embedded with the proposed SLG fault diagnosis method. Secondly, the ZSV signal is decomposed by the Mallat algorithm, and the fault diagnosis thresholds are calculated through the maximum margin hyperplane, which is used for fault detection and fault nature estimation. Finally, the fault occurrence moment is captured by variational mode decomposition (VMD) and its Teager Energy Operator (TEO). The proposed SLG fault diagnosis method has been tested in simulation and physical experiments in a 10kV system, the effectiveness and feasibility have been validated.
Keyword ：
Circuit faults Circuit faults Distribution network Distribution network Estimation Estimation Fault detection Fault detection Fault diagnosis Fault diagnosis fault diagnosis method fault diagnosis method fault nature estimation fault nature estimation fault occurrence moment capture fault occurrence moment capture RLC circuits RLC circuits single-line-to-ground fault single-line-to-ground fault Time-frequency analysis Time-frequency analysis Transient analysis Transient analysis
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| GB/T 7714 | Lin, Jiahao , Guo, Moufa , Hong, Qiteng et al. An Earth Fault Diagnosis Method Based on Online Dynamically Calculated Thresholds for Resonant Ground Systems [J]. | IEEE TRANSACTIONS ON SMART GRID , 2024 , 15 (4) : 3459-3473 . |
| MLA | Lin, Jiahao et al. "An Earth Fault Diagnosis Method Based on Online Dynamically Calculated Thresholds for Resonant Ground Systems" . | IEEE TRANSACTIONS ON SMART GRID 15 . 4 (2024) : 3459-3473 . |
| APA | Lin, Jiahao , Guo, Moufa , Hong, Qiteng , Jiang, Run . An Earth Fault Diagnosis Method Based on Online Dynamically Calculated Thresholds for Resonant Ground Systems . | IEEE TRANSACTIONS ON SMART GRID , 2024 , 15 (4) , 3459-3473 . |
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A single-phase ground fault in the stator of a large generator may produce an arc, causing core burnout or even serious accidents such as fire. A flexible fusion arc suppression method is proposed to achieve ground fault current suppression and reliable arc suppression by controlling the neutral point voltage and the converter injection current in parallel. The existing flexible arc suppression method for generator stator single-phase ground fault has a poor arc suppression effect under low or high resistance conditions. The proposed method considers the stator impedance of the generator and the number of stator parallel branches. It applies to different generators and can quickly suppress the ground fault currents to a safe range under different ground fault transition resistances, different fault locations, and so on. The effectiveness of the proposed method is verified by Matlab/Simulink. © 2024 Power System Technology Press. All rights reserved.
Keyword ：
current arc suppression current arc suppression flexible arc suppression flexible arc suppression fusion arc suppression fusion arc suppression large generator large generator stator ground fault stator ground fault voltage arc suppression voltage arc suppression
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| GB/T 7714 | Huang, J. , Guo, M. , Zhang, B. . Flexible Fusion Arc Suppression Method for Large Generator Stator Ground Fault; [大型发电机定子接地故障柔性融合消弧方法] [J]. | Power System Technology , 2024 , 48 (11) : 4748-4757 . |
| MLA | Huang, J. et al. "Flexible Fusion Arc Suppression Method for Large Generator Stator Ground Fault; [大型发电机定子接地故障柔性融合消弧方法]" . | Power System Technology 48 . 11 (2024) : 4748-4757 . |
| APA | Huang, J. , Guo, M. , Zhang, B. . Flexible Fusion Arc Suppression Method for Large Generator Stator Ground Fault; [大型发电机定子接地故障柔性融合消弧方法] . | Power System Technology , 2024 , 48 (11) , 4748-4757 . |
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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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针对现有配电网单相接地故障选段方法存在的通信负担重、阈值设置困难及故障特征量单一等问题,提出一种基于多频带多特征融合的配电网单相接地故障选段方法.首先,利用小波包变换分别对故障后首半个工频周期的零序电压导数和零序电流进行分解和重构,得到原始波形的不同频带分量.其次,根据不同频带分量间的极性关系分别引入伏安特性特征向量与零序功率累加和作为故障特征.最后,筛选特征频带并构造基于特征频带与故障特征融合的选段判据.仿真实验及现场数据验证结果表明,所提方法能够有效实现单相接地故障免阈值就地选段.
Keyword ：
免阈值 免阈值 单相接地故障 单相接地故障 多频带多特征融合 多频带多特征融合 小波包变换 小波包变换 故障选段 故障选段 谐振接地系统 谐振接地系统
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| GB/T 7714 | 肖文妍 , 郭谋发 , 林佳壕 et al. 基于多频带多特征融合的配电网单相接地故障选段方法 [J]. | 电气技术 , 2024 , 25 (7) : 7-14 . |
| MLA | 肖文妍 et al. "基于多频带多特征融合的配电网单相接地故障选段方法" . | 电气技术 25 . 7 (2024) : 7-14 . |
| APA | 肖文妍 , 郭谋发 , 林佳壕 , 林骏捷 . 基于多频带多特征融合的配电网单相接地故障选段方法 . | 电气技术 , 2024 , 25 (7) , 7-14 . |
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There is a problem in that the non-fault phase bridge arm of traditional three-phase direct-hanging flexible arc suppression device bears the line voltage. Thus a fault phase bridge arm transfer grounding arc suppression method is proposed. This method controls the fault phase bridge arm transfer grounding through the switch. The bus voltage is shared by the fault phase bridge arm and the non-fault phase bridge arm, and the three-phase bridge arm outputs the current to achieve arc suppression. The cascaded H-bridge DC-link needs an independent power supply, so a distributed voltage balance commutation modulation method is proposed. The modulation method selectively changes the H-bridge output state according to the influence of H-bridge output state and current direction on the charge and discharge of the DC-link capacitor, and then realizes the stability of DC-link voltage. The arc suppression device using this modulation method does not need to be equipped with an independent power supply on the DC side, and can maintain H-bridge DC-link voltage stability during the arc suppression process. Finally, the proposed method is verified by Matlab/Simulink simulation software, and the results prove the effectiveness of the proposed method. © 2024 Power System Protection and Control Press. All rights reserved.
Keyword ：
Electric grounding Electric grounding Electric power system protection Electric power system protection HVDC power transmission HVDC power transmission MATLAB MATLAB Solar power generation Solar power generation
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| GB/T 7714 | Guo, Moufa , Liu, Xinbin , Zhang, Binlong et al. DC-link voltage control method of a fault phase bridge arm transfer grounding arc suppression device [J]. | Power System Protection and Control , 2024 , 52 (19) : 1-14 . |
| MLA | Guo, Moufa et al. "DC-link voltage control method of a fault phase bridge arm transfer grounding arc suppression device" . | Power System Protection and Control 52 . 19 (2024) : 1-14 . |
| APA | Guo, Moufa , Liu, Xinbin , Zhang, Binlong , Zhao, Guojun , Zheng, Zeyin . DC-link voltage control method of a fault phase bridge arm transfer grounding arc suppression device . | Power System Protection and Control , 2024 , 52 (19) , 1-14 . |
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