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学者姓名：洪翠
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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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微机继电保护作为电网安稳运行的关键环节，需要符合新工科背景和工程教育专业认证人才培养要求的教学方法。为此提出一种融合STEM与OBE理念的“微机继电保护”案例教学法，对“微机继电保护”复杂理论体系进行了模块化研究，并以工程案例为载体阐明微机继电保护运行机理，实现教学主体由教师向学生的转变。实践证明，所提方法能够有效提高教学效率，确保工程能力产出，有助于“微机继电保护”课程建设。
Keyword ：
多教育理念融合 多教育理念融合 微机继电保护 微机继电保护 模块化案例教学 模块化案例教学
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| GB/T 7714 | 陈飞雄 , 蔡明杰 , 邵振国 et al. 融合STEM与OBE理念的“微机继电保护”案例教学 [J]. | 电气电子教学学报 , 2024 , 46 (01) : 9-15 . |
| MLA | 陈飞雄 et al. "融合STEM与OBE理念的“微机继电保护”案例教学" . | 电气电子教学学报 46 . 01 (2024) : 9-15 . |
| APA | 陈飞雄 , 蔡明杰 , 邵振国 , 洪翠 , 张宁 . 融合STEM与OBE理念的“微机继电保护”案例教学 . | 电气电子教学学报 , 2024 , 46 (01) , 9-15 . |
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实现配电站房运行状态的准确评估对确保电力系统的稳定运行有着重要的意义。针对目前评估方法主观性过强的问题，提出了一种基于CRITIC-TOPSIS的配电站房运行状态评估方法。基于压力-状态-响应(PSR)框架的思维模式，建立科学合理的配电站房运行状态评估指标体系，采用CRITIC赋权法确定各评价指标的权重，减少评价过程中的主观性，建立CRITIC-TOPSIS评价模型，利用综合接近度评估配电站房相对运行状态，并确定状态等级；引入禀赋效应来根据决策者的心理行为对评价结果进行调整，并对配电站房状态情况进行优劣排序；根据某地区配电站房实际运行数据进行实例分析，所得评价结果具有客观性和合理性。
Keyword ：
CRITIC-TOPSIS评价模型 CRITIC-TOPSIS评价模型 压力-状态-响应框架 压力-状态-响应框架 状态评估 状态评估 禀赋效应 禀赋效应 配电站房 配电站房
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| GB/T 7714 | 罗昆 , 高伟 , 洪翠 . 基于CRITIC-TOPSIS的配电站房运行状态评估 [J]. | 电工电气 , 2024 , 6 (03) : 38-43 . |
| MLA | 罗昆 et al. "基于CRITIC-TOPSIS的配电站房运行状态评估" . | 电工电气 6 . 03 (2024) : 38-43 . |
| APA | 罗昆 , 高伟 , 洪翠 . 基于CRITIC-TOPSIS的配电站房运行状态评估 . | 电工电气 , 2024 , 6 (03) , 38-43 . |
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针对配电站房缺乏健康评估机制、运维周期设置不合理的问题,提出了一种考虑群体决策差异冲突解决机制的配电站房健康状态综合评估方法.首先,建立配电站房指标体系和专家评价框架,设计了一种新型的二元冲突测量函数来量化全局冲突.然后,使用专家评价结果的虚假度、可信度、可用度等测度指标构造专家修正因子,以改进 D-S 证据理论,通过聚合不同专家的评价意见来量化评价指标的权重.接着,建立改进灰色关联度-逼近理想解法(grey relation analysis-technique for order preference by similarity to an ideal solution,GRA-TOPSIS)评估模型,引入灰色关联接近度,与距离接近度融合得到综合接近度,改善TOPSIS 评价判据片面性的缺陷.最后,计算每个配电站房的评价值与理想解之间的综合接近度,反映配电站房的健康状态.实验分析表明该方法能兼容专家评价之间的冲突性、差异性、不确定性,与现有方法相比评估结果更具准确性和合理性,对运维人员制定合理的检修决策具有一定的指导价值.
Keyword ：
专家修正因子 专家修正因子 专家评价框架 专家评价框架 改进D-S证据理论 改进D-S证据理论 改进GRA-TOPSIS评估方法 改进GRA-TOPSIS评估方法 配电站房 配电站房
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| GB/T 7714 | 罗昆 , 高伟 , 洪翠 . 考虑群体决策差异冲突解决机制的配电站房健康状态评估方法 [J]. | 电力系统保护与控制 , 2024 , 52 (10) : 167-178 . |
| MLA | 罗昆 et al. "考虑群体决策差异冲突解决机制的配电站房健康状态评估方法" . | 电力系统保护与控制 52 . 10 (2024) : 167-178 . |
| APA | 罗昆 , 高伟 , 洪翠 . 考虑群体决策差异冲突解决机制的配电站房健康状态评估方法 . | 电力系统保护与控制 , 2024 , 52 (10) , 167-178 . |
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Abstract ：
含分布式电源配电网保护是新型配电系统安全稳定运行的关键技术。随着大规模分布式新能源接入配电网，传统的重合闸与电流三段式保护难以满足安全运行的需求，亟待研究适合新型配电网的继电保护技术。然而，现阶段配电网短路保护研究尚缺乏系统的总结与归纳，因此，针对含分布式电源配电网结构及保护要求，开展新型配电网短路保护研究综述。首先，介绍配电网短路保护配置，分析分布式电源在不同工作方式、不同接入位置及容量、不同类型电源等场景下，对配电网短路保护的影响。其次，基于现阶段国内外含分布式电源配电网短路保护与控制研究，对保护技术加以分析、归纳、总结。最后，结合配电网短路保护研究现状与分布式新能源接入需求，探讨分布式电源高渗透率下的新型配电网短路保护研究方向。
Keyword ：
保护改进 保护改进 分布式电源 分布式电源 故障特性分析 故障特性分析 短路保护 短路保护 继电保护 继电保护 配电网 配电网
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| GB/T 7714 | 缪希仁 , 赵丹 , 刘晓明 et al. 含分布式电源配电网短路保护研究综述 [J]. | 高电压技术 , 2023 , 49 (07) : 3006-3019 . |
| MLA | 缪希仁 et al. "含分布式电源配电网短路保护研究综述" . | 高电压技术 49 . 07 (2023) : 3006-3019 . |
| APA | 缪希仁 , 赵丹 , 刘晓明 , 洪翠 , 庄胜斌 . 含分布式电源配电网短路保护研究综述 . | 高电压技术 , 2023 , 49 (07) , 3006-3019 . |
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In order to overcome the shortcoming that the bird repellent is easy to be adapted by birds and to solve the problem that the target detection algorithm based on visual image is limited by weather conditions, a bird hunting and repelling method based on the fusion of radar point cloud and visual image is proposed according to the characteristics of millimeter-wave radar. Firstly, the radar-camera coordinate fusion is achieved by means of the mean fitting. Then, a bird point-cloud-image fusion dataset that covers a variety of meteorological environments is created by using vision and scene enhancement techniques. Secondly, a bird recognition model that combines the radar point-cloud attention mechanism and the deep learning recognition network YOLO is proposed to realize the fusion of decision-making layers. Finally, the intelligent start-and-stop strategy based on 3F-GIoU is constructed by combining the three-frame difference algorithm to determine whether there are birds staying in the target area, which is suitable for the target behavior recognition with small outline and fast speed. The experimental results show that the bird identification method proposed in this study can meet the robustness and accuracy of bird identification in practical application scenarios, and the average identification accuracy under different weather conditions is 91.21%. Furthermore, the 3F-GIoU strategy proposed in this study can effectively identify the activities of birds that endanger lines and towers. © 2023 Science Press. All rights reserved.
Keyword ：
3F-GIoU 3F-GIoU identify and repel birds identify and repel birds multi-information fusion multi-information fusion radar point cloud radar point cloud visual images visual images
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| GB/T 7714 | Wu, Y. , Hong, C. , Gao, W. . Bird Detecting and Bird Repelling Technology for Transmission Lines Based on the Fusion of Radar Point Cloud and Visual Image; [基于雷达点云与视觉图像融合的输电线路探鸟驱鸟技术] [J]. | High Voltage Engineering , 2023 , 49 (8) : 3446-3457 . |
| MLA | Wu, Y. et al. "Bird Detecting and Bird Repelling Technology for Transmission Lines Based on the Fusion of Radar Point Cloud and Visual Image; [基于雷达点云与视觉图像融合的输电线路探鸟驱鸟技术]" . | High Voltage Engineering 49 . 8 (2023) : 3446-3457 . |
| APA | Wu, Y. , Hong, C. , Gao, W. . Bird Detecting and Bird Repelling Technology for Transmission Lines Based on the Fusion of Radar Point Cloud and Visual Image; [基于雷达点云与视觉图像融合的输电线路探鸟驱鸟技术] . | High Voltage Engineering , 2023 , 49 (8) , 3446-3457 . |
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为了克服驱鸟器易被鸟类适应的缺点以及解决基于视觉图像的目标检测算法受天气条件制约的问题，根据毫米波雷达的特性，提出了一种基于雷达点云与视觉图像融合的探鸟驱鸟方法。首先运用均值拟合实现雷达-相机坐标融合，并利用视觉和场景增强技术创建了囊括多种气象环境的鸟类点云-图像融合数据集；然后提出一种将雷达点云注意力机制与深度学习识别网络YOLO相结合的鸟类识别模型，实现决策层融合；最后，结合三帧差分算法构建基于3F-GIo U的驱鸟器智能启停策略，判断是否有鸟类停留在目标区域，使其适合于轮廓小、速度快的目标行为识别。实验结果表明，所提的鸟类识别方法能够满足实际应用场景中鸟类识别的鲁棒性和准确性，不同天气条件下平均识别准确度为91.21%；所提的3F-GIoU策略能够有效识别鸟类存在危害线路、杆塔的活动。
Keyword ：
3F-GIo U 3F-GIo U 多信息融合 多信息融合 探鸟驱鸟 探鸟驱鸟 视觉图像 视觉图像 雷达点云 雷达点云
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| GB/T 7714 | 吴洋铭 , 洪翠 , 高伟 . 基于雷达点云与视觉图像融合的输电线路探鸟驱鸟技术 [J]. | 高电压技术 , 2023 , 49 (08) : 3446-3457 . |
| MLA | 吴洋铭 et al. "基于雷达点云与视觉图像融合的输电线路探鸟驱鸟技术" . | 高电压技术 49 . 08 (2023) : 3446-3457 . |
| APA | 吴洋铭 , 洪翠 , 高伟 . 基于雷达点云与视觉图像融合的输电线路探鸟驱鸟技术 . | 高电压技术 , 2023 , 49 (08) , 3446-3457 . |
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The protection technology of the distribution network with distributed generation is critical for the safe and stable operation of the new power distribution system. As large-scale distributed new energy sources are connected to the distribution network, the traditional reclosing and current three-stage protection cannot meet safe operation needs. It is urgent to study new relay protection technologies for distribution networks. However, the distribution network protection research still lacks a systematic summary and induction. Therefore, this paper reviews the research on new distribution network protection based on the structure and protection requirements of the distribution network with distributed generation. First, the distribution network protection configuration is introduced, and the impact of distributed generation on distribution network protection under different working modes, access capacities and locations, and different types of power supply scenarios is analyzed. Secondly, we analyze and summarize the protection technology based on the current research on short-circuit protection and control of distribution networks with distributed generation at home and abroad. Finally, combined with the research status of distribution network protection and the demand for distributed new energy access, the research direction of new distribution network protection under the high penetration rate of distributed generation is discussed. © 2023 Science Press. All rights reserved.
Keyword ：
distributed generation distributed generation distribution network distribution network failure characteristic analysis failure characteristic analysis protection improvements protection improvements relay protection relay protection short circuit protection short circuit protection
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| GB/T 7714 | Miao, X. , Zhao, D. , Liu, X. et al. A Research Review of Short-circuit Protection in Distribution Network with Distributed Generation; [含分布式电源配电网短路保护研究综述] [J]. | High Voltage Engineering , 2023 , 49 (7) : 3006-3019 . |
| MLA | Miao, X. et al. "A Research Review of Short-circuit Protection in Distribution Network with Distributed Generation; [含分布式电源配电网短路保护研究综述]" . | High Voltage Engineering 49 . 7 (2023) : 3006-3019 . |
| APA | Miao, X. , Zhao, D. , Liu, X. , Hong, C. , Zhuang, S. . A Research Review of Short-circuit Protection in Distribution Network with Distributed Generation; [含分布式电源配电网短路保护研究综述] . | High Voltage Engineering , 2023 , 49 (7) , 3006-3019 . |
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The technology for identifying birds around power towers using cameras alone is still susceptible to environmental interference. This paper proposes a new bird damage recognition network, RCVNet, which addresses this issue by fusing radio-frequency (RF) images and visual images. The network employs a feature layer fusion approach that accurately identifies bird damages in the monitoring area. Initially, RCVNet takes a group of RF and visual images as input. Then, through a series of convolutional neural networks (CNNs), birds are identified and located. To overcome challenges in recognizing small targets, several improved modules such as crosssupervised fusion network (CSF-net), posture deformable convolution (PDF), small-target attention fusion mechanism (SAFM), and Tiny-YOLOHead are introduced throughout RCVNet, improving surface information utilization and small feature retention rates. Finally, a bird damage discrimination strategy is developed based on the recognition outcomes of birds. As there is currently no public dataset available for RCVNet training, a new bird dataset called CRB2022, which includes RF and visual images, was gathered. Through large-scale experiments utilizing these methods, RCVNet effectively identifies birds, achieving a mean average precision of 79.34% and a mean average recall of 83.29%. Additionally, the discrimination rate of the utilized strategy can reach up to 98%.
Keyword ：
Deep convolutional neural network Deep convolutional neural network RF image RF image Sensor fusion Sensor fusion Target recognition Target recognition Visual image Visual image
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| GB/T 7714 | Gao, Wei , Wu, Yangming , Hong, Cui et al. RCVNet: A bird damage identification network for power towers based on fusion of RF images and visual images [J]. | ADVANCED ENGINEERING INFORMATICS , 2023 , 57 . |
| MLA | Gao, Wei et al. "RCVNet: A bird damage identification network for power towers based on fusion of RF images and visual images" . | ADVANCED ENGINEERING INFORMATICS 57 (2023) . |
| APA | Gao, Wei , Wu, Yangming , Hong, Cui , Wai, Rong-Jong , Fan, Cheng-Tao . RCVNet: A bird damage identification network for power towers based on fusion of RF images and visual images . | ADVANCED ENGINEERING INFORMATICS , 2023 , 57 . |
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In distribution networks, a single-line-to-ground fault frequently occurs, which poses a risk to the safe operation of power equipment and causes significant property damage. The conventional arc suppression coil serves as a passive compensating device, which is utilized to compensate for the capacitive component of the fault current. However, it lacks the ability to compensate for an active component of the fault current. To address this issue, this paper proposes a cascaded H-bridge inverter based on a backstepping control method with DC suppression. This method aims to fully compensate for the ground-fault current and restrict the faulty phase voltage. The proposed approach effectively mitigates the impact of system parameter perturbations, suppresses the DC component of the injected current, and reliably limits the fault current. Through simulation verification with different fault resistances, the results indicate the feasibility of the proposed method. ©2023 IEEE.
Keyword ：
Backstepping Backstepping Bridge circuits Bridge circuits Electric grounding Electric grounding Electric inverters Electric inverters Electric power distribution Electric power distribution
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| GB/T 7714 | Jiao, Yaohui , Zheng, Zeyin , Guo, Moufa et al. Design and Analysis of Backstepping Controller with DC Suppression Loop for Flexible Arc Suppression System in Distribution Networks [C] . 2023 : 255-258 . |
| MLA | Jiao, Yaohui et al. "Design and Analysis of Backstepping Controller with DC Suppression Loop for Flexible Arc Suppression System in Distribution Networks" . (2023) : 255-258 . |
| APA | Jiao, Yaohui , Zheng, Zeyin , Guo, Moufa , Hong, Cui . Design and Analysis of Backstepping Controller with DC Suppression Loop for Flexible Arc Suppression System in Distribution Networks . (2023) : 255-258 . |
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