Zengwei Yue

Shanghai Electric (China)

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Fei Li

Jiangsu Normal University

Suyun Ji

Shanghai Electric (China)

Lin Liu

Inner Mongolia University of Science and Technology

Ning Geng

China Medical University

Jing Yang

Chinese Academy of Sciences

Xinghua Liu

Xi'an University of Technology

Yu Yao

Zhejiang University

Feng Zhu

Alibaba Group (China)

Qicheng Xue

Beijing Jiaotong University

Xuefeng Sun

Zhangjiakou Academy of Agricultural Sciences

Cooperative Institutions

Shanghai Electric (China)

Shandong University of Technology

State Nuclear Power Technology Company (China)

Wuhan University

Chinese Academy of Sciences

East China University of Science and Technology

China Southern Power Grid (China)

State Grid Corporation of China (China)

Hefei University of Technology

Northeastern University

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REP-YOLOX: An Efficient Model for Defect Detection in Gas Insulated Switchgear Equipment

2021 6th International Conference on Automation, Control and Robotics Engineering (CACRE) (2023)

Fei Li Xuejie Yang Hui Gao Zengwei Yue Jianfeng Yu

Gas Insulated Switchgear (GIS) equipment is an important substation device in the power system and plays an indispensable role in maintaining the operation of the power system. However, GIS equipment is prone to ablation defects and some foreign objects during long-term operation, thus affecting the normal operation of the power system. Aiming at the problems of low efficiency and easy-to-miss detection in manual inspection.This paper proposes a single-stage object detection model REP-YOLOX, which is based on structural re-parameterization and attention mechanisms technology. Firstly, we combine dilated convolution and standard convolution to extract features and obtain larger receptive fields. Then, in the Neck layer of the model, the Mask Conv block module is used to enhance the feature extraction ability under occlusion. Finally, the Transformer module is used in the prediction layer of the model to weigh the global features and predict the results through the full connection layer. Experimental results show that the model can achieve 99.14% mAP50 in the GIS equipment defect detection task, which indicates it can complete GIS equipment defect detection task well.

Switchgear

Convolution (computer science)

10.1109/cacre58689.2023.10208561

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High step‐up DC–DC converter with three‐winding‐coupled‐inductor and output capacitor in series for clean energy

IET Power Electronics (2019)

Richang Xian Xinghua Liu Fei Li Yu Yao Ning Geng

A novel high step-up DC–DC converter with a three-winding-coupled-inductor and an output capacitor in series is proposed in this study. By charging for two windings of dotted terminal connection in series by input source, the proposed converter can achieve a higher gain by using smaller turns ratios when the active switch is turned on. The passive clamping circuits are introduced for not only recycling leakage energy but also alleviating voltage spike on the main switch effectively. Meanwhile, the reverse-recovery problem of the diode is alleviated by the leakage inductor. Thus, the efficiency can be improved. In addition, output capacitors are in series to provide energy so that the volume of the output capacitor is reduced. The operating principle and steady-state analyses of the proposed converter are discussed in detail. Then, the performance of the proposed converter is compared with existing converters. Finally, a prototype circuit is built with a 40-V input voltage, 380-V output voltage, and 400-W output power to verify the performance of the proposed converter.

Leakage inductance

10.1049/iet-pel.2018.5815

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Simulation and experimental study on the effect of wind on grounding wire corona discharge process under thundercloud electric field

Electric Power Systems Research (2022)

Yitong Lin Yunzhu An Yuanchao Hu Xiaobo Niu Kaiqiang Yin

Corona (planetary geology)

Shielding effect

10.1016/j.epsr.2022.108622

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High step‐up three level boost converter with inverse characteristic

The Journal of Engineering (2018)

Fei Li Suyun Ji Ning Geng Jing Yang Shanshan Liang

This paper presents a novel magnetically coupled dual switches three level dc–dc converter with high-voltage boost and reduced power device voltage stress ability. The topology can achieve high-voltage boost ability by using coupled inductor and low MOSFET voltage stress by using three-level idea. However, unlike other high step-up three level converters, its gain is increased by reducing turns ratio. The name inverse is used for representing the inverse proportion principle of the proposed converter. Aiming at existing leakage inductance, introduced diode and capacitor circuit not only absorbs the leakage energy but also further boosts the gain. In addition, the proposed converter only utilises one magnetic core. Operating principles and relevant theoretical analysis of the proposed converter are described. In order to verify the proposed converter's performance, the relevant experiment is performed.

Leakage inductance

High Voltage

10.1049/joe.2018.8347

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Citations (4)