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学者姓名：郭谋发
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Abstract ：
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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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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The fault phase detection (FPD) of single-line-to-ground fault (SLGF) is important for active arc suppression devices (AASD), but it is challenging when considering asymmetrical line parameters and different neutral grounding types. To improve the reliability of FPD, this article proposes an FPD method based on the fusion of amplitude and phase angle characteristics. First, when an SLGF occurs, the amplitude and phase angle characteristics of the three-phase source voltage are analyzed. Then, the phase angle of the fault phase source voltage is calculated based on the derived amplitude and phase angle characteristics, which are compared with the measured phase angle of the three-phase source voltage, respectively. According to the FPD criterion, the fault phase can be determined. In addition, an FPD device (FPDD) featuring convenient installation has been designed. The FPD results are sent to AASD, if the fault phase voltage can be effectively suppressed, the FPD results are correct. The proposed method has been experimentally validated on 380 V and 10 kV experimental platforms.
Keyword ：
Active arc suppression device (AASD) Active arc suppression device (AASD) asymmetric line parameters asymmetric line parameters distribution network distribution network Distribution networks Distribution networks Fault currents Fault currents fault phase detection (FPD) fault phase detection (FPD) Grounding Grounding Mathematical models Mathematical models Phase detection Phase detection single-line-to-ground fault (SLGF) single-line-to-ground fault (SLGF) Voltage Voltage Voltage measurement Voltage measurement
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| GB/T 7714 | Lin, Jiahao , You, Jianzhang , Guo, Moufa et al. Amplitude-Phase-Characteristics-Based Fault Phase Detection Method for Grounding Fault in Distribution Network [J]. | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT , 2024 , 73 . |
| MLA | Lin, Jiahao et al. "Amplitude-Phase-Characteristics-Based Fault Phase Detection Method for Grounding Fault in Distribution Network" . | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 73 (2024) . |
| APA | Lin, Jiahao , You, Jianzhang , Guo, Moufa , Hong, Qiteng . Amplitude-Phase-Characteristics-Based Fault Phase Detection Method for Grounding Fault in Distribution Network . | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT , 2024 , 73 . |
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Most of the phase-to-ground parameters induced between distribution lines and ground are asymmetric, which can result in the generation of unbalanced voltage, shifting the neutral point voltage. For compensated distribution networks, the existence of an arc suppression coil can increase the influence of asymmetric parameters and exacerbate the deviation of neutral point voltage. Maintaining the balance of three-phase voltage is a prerequisite not only for the stable operation of the distribution networks but also for improving the reliability of single-phase ground fault detection. This article proposes a novel online split-phase identification of asymmetric parameters between distribution lines and ground for unbalanced voltage compensation based on power electronics. First, an adaptive active current-type compensation method based on power electronics is proposed; it can adapt to compensate for three-phase unbalanced voltage with different neutral point grounding styles. Second, particle swarm optimization is used to realize the online split-phase identification of the phase-to-ground parameters of the distribution power lines. The identified parameters are used to calculate the reference value of the compensation current and the asymmetry of each phase-to-ground parameter. Finally, the feasibility and effectiveness of the proposed method are verified by simulation and experiment.
Keyword ：
Asymmetric parameters Asymmetric parameters distribution networks distribution networks online parameter split-phase identification online parameter split-phase identification particle swarm optimization (PSO) particle swarm optimization (PSO) power electronics power electronics unbalanced voltage compensation unbalanced voltage compensation
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| GB/T 7714 | Guo, Moufa , Jiao, Yaohui , Zheng, Zeyin et al. Online Split-Phase Identification of Asymmetric Parameters Between Distribution Lines and Ground for Unbalanced Voltage Compensation Based on Power Electronics [J]. | IEEE TRANSACTIONS ON POWER ELECTRONICS , 2024 , 39 (8) : 10067-10078 . |
| MLA | Guo, Moufa et al. "Online Split-Phase Identification of Asymmetric Parameters Between Distribution Lines and Ground for Unbalanced Voltage Compensation Based on Power Electronics" . | IEEE TRANSACTIONS ON POWER ELECTRONICS 39 . 8 (2024) : 10067-10078 . |
| APA | Guo, Moufa , Jiao, Yaohui , Zheng, Zeyin , Zhang, Binlong , Lin, Jiahao , Hong, Qiteng . Online Split-Phase Identification of Asymmetric Parameters Between Distribution Lines and Ground for Unbalanced Voltage Compensation Based on Power Electronics . | IEEE TRANSACTIONS ON POWER ELECTRONICS , 2024 , 39 (8) , 10067-10078 . |
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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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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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Abstract ：
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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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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为了加强配电网自动化技术课程建设，提出基于虚实协同配合的实验教学方案。以“情景互动、探究创新”为实验教学理念，将课堂理论、虚拟仿真和物理仿真三者紧密结合。从需求导向出发，设计了四个渐进式实验，通过沉浸式教学，让学生了解配电网和开关设备的结构形态，掌握配电网运行、故障与保护算法的原理，培养学生的创新思维和创新设计能力。最后，建立主、客观评价相结合的综合评价体系，对学生参与实验的每个环节进行评价，通过收集反馈信息，持续改进评价体系。
Keyword ：
实验教学 实验教学 物理仿真 物理仿真 虚拟仿真 虚拟仿真 配电网 配电网
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| GB/T 7714 | 林宝全 , 高伟 , 郭谋发 et al. 虚实协同的“配电网自动化技术”实验项目建设 [J]. | 电气电子教学学报 , 2024 , 46 (02) : 216-220 . |
| MLA | 林宝全 et al. "虚实协同的“配电网自动化技术”实验项目建设" . | 电气电子教学学报 46 . 02 (2024) : 216-220 . |
| APA | 林宝全 , 高伟 , 郭谋发 , 谢楠 . 虚实协同的“配电网自动化技术”实验项目建设 . | 电气电子教学学报 , 2024 , 46 (02) , 216-220 . |
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为解决传统三相直挂式柔性消弧装置非故障相桥臂承担线电压的问题,提出一种故障相桥臂转移接地的消弧方法.该方法通过开关控制故障相桥臂转移接地,母线电压由故障相桥臂与非故障相桥臂共同承担,三相桥臂共同输出电流,以实现消弧.针对级联H桥直流侧需独立供电的问题,提出分布式电压平衡换流调制方法.该调制方法根据H桥输出状态和电流方向对直流侧电容充放电的影响,有选择地改变H桥的输出状态,进而实现直流侧电压的稳定.使用该调制方法的消弧装置无须在直流侧配备独立供电电源,在消弧过程中能保持H桥直流侧电压稳定.最后,采用Matlab/Simulink仿真软件对所提方法进行验证,仿真结果证明了所提方法的有效性.
Keyword ：
单相接地故障 单相接地故障 消弧 消弧 直流侧电压 直流侧电压 级联H桥变流器 级联H桥变流器 转移接地 转移接地
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| GB/T 7714 | 郭谋发 , 刘鑫斌 , 张彬隆 et al. 故障相桥臂转移接地消弧装置直流侧电压控制方法 [J]. | 电力系统保护与控制 , 2024 , 52 (19) : 1-14 . |
| MLA | 郭谋发 et al. "故障相桥臂转移接地消弧装置直流侧电压控制方法" . | 电力系统保护与控制 52 . 19 (2024) : 1-14 . |
| APA | 郭谋发 , 刘鑫斌 , 张彬隆 , 赵国军 , 郑泽胤 . 故障相桥臂转移接地消弧装置直流侧电压控制方法 . | 电力系统保护与控制 , 2024 , 52 (19) , 1-14 . |
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