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学者姓名：金涛
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Abstract ：
The open-circuit fault in electric vehicle charging stations not only impacts the power quality of the electrical grid but also poses a threat to charging safety. Therefore, it is of great significance to study open-circuit fault diagnosis for ensuring the safe and stable operation of power grids and reducing the maintenance cost of charging stations. This paper addresses the multidimensional characteristics of open-circuit fault signals in charging stations and proposes a fault diagnosis method based on an improved S-transform and LightGBM. The method first utilizes improved incomplete S-transform and principal component analysis (PCA) to extract features of front- and back-stage faults separately. Subsequently, LightGBM is employed to classify the extracted features, ultimately achieving fault diagnosis. Simulation results demonstrate the method's effectiveness in feature extraction, achieving an average diagnostic accuracy of 97.04% on the test dataset, along with notable noise resistance and real-time performance. Additionally, we designed an experimental platform for diagnosing open-circuit faults in DC charging station and collected experimental fault data. The results further validate the effectiveness of the proposed method.
Keyword ：
DC charging pile DC charging pile fault diagnosis fault diagnosis LightGBM LightGBM S-transform S-transform
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| GB/T 7714 | Chen, Yin , Tang, Zhenli , Weng, Xiaofeng et al. A Diagnostic Method for Open-Circuit Faults in DC Charging Stations Based on Improved S-Transform and LightGBM [J]. | ENERGIES , 2024 , 17 (2) . |
| MLA | Chen, Yin et al. "A Diagnostic Method for Open-Circuit Faults in DC Charging Stations Based on Improved S-Transform and LightGBM" . | ENERGIES 17 . 2 (2024) . |
| APA | Chen, Yin , Tang, Zhenli , Weng, Xiaofeng , He, Min , Zhou, Sheng , Liu, Ziqiang et al. A Diagnostic Method for Open-Circuit Faults in DC Charging Stations Based on Improved S-Transform and LightGBM . | ENERGIES , 2024 , 17 (2) . |
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As the penetration rate of new energy generation in distributed distribution networks continues to increase, the integration of numerous new energy power plants and associated power electronic devices presents challenges to the power quality of traditional power systems. Therefore, conducting power quality-related research in distribution networks is of significant importance for maintaining power system stability, safeguarding electrical equipment, and enhancing electrical safety. A framework for evaluating the overall power quality of new energy-penetrated distribution network systems based on the analytic hierarchy process (AHP) is proposed. This framework aggregates and calculates the global power quality index (GPQI) through averaging, thereby completing the assessment of power quality situations. By enhancing the computation speed of evaluation metrics through an improved S-transform and considering various disturbances such as diminished illumination, wind power disconnection, and high-current grounding, the GPQI values are used to assess power quality under diverse scenarios. Simulation and experimental results confirm the framework's close alignment with real scenarios and its effectiveness in evaluating power quality within distribution networks. This method is crucial for maintaining power system stability, protecting electrical equipment, and enhancing overall electrical safety within distribution networks.
Keyword ：
analytic hierarchy process (AHP) analytic hierarchy process (AHP) distribution network distribution network feature extraction feature extraction power quality assessment power quality assessment S-transform S-transform
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| GB/T 7714 | Chen, Yin , Tang, Zhenli , Weng, Xiaofeng et al. A Novel Approach for Evaluating Power Quality in Distributed Power Distribution Networks Using AHP and S-Transform [J]. | ENERGIES , 2024 , 17 (2) . |
| MLA | Chen, Yin et al. "A Novel Approach for Evaluating Power Quality in Distributed Power Distribution Networks Using AHP and S-Transform" . | ENERGIES 17 . 2 (2024) . |
| APA | Chen, Yin , Tang, Zhenli , Weng, Xiaofeng , He, Min , Zhang, Guanghong , Yuan, Ding et al. A Novel Approach for Evaluating Power Quality in Distributed Power Distribution Networks Using AHP and S-Transform . | ENERGIES , 2024 , 17 (2) . |
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Aiming at the problems of limited single image feature information and insufficient algorithm recognition ability in traditional power quality disturbance (PQD) recognition schemes, a PQD recognition method based on feature image combination and modified ResNet-18 is proposed according to the idea of feature fusion. First, a series of intrinsic mode functions (IMFs) and residual components are obtained by variational mode decomposition (VMD) of PQD signals. Then, the IMFs, residual components, original disturbance signals and Subtract components are longitudinally spliced into component matrix, and the signal-image conversion method is used to generate the feature component color map. Meanwhile, continuous wavelet transform (CWT) is performed on the original disturbance signal to generate the wavelet time-frequency diagram. Finally, the feature component color map and wavelet time-frequency diagram are combinatorically input into the modified six-channel ResNet-18 training and the learning on how to recognize the PQD. The PQD recognition method is analyzed through simulation and compared with the commonly used recognition system. The results show that the proposed method has good anti-noise performance and can better extract the PQD feature information to achieve higher recognition accuracy. ©2024 Chin.Soc.for Elec.Eng. 2531.
Keyword ：
Color Color Intrinsic mode functions Intrinsic mode functions Power quality Power quality Variational mode decomposition Variational mode decomposition Wavelet decomposition Wavelet decomposition
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| GB/T 7714 | Zhang, Yi , Ou, Jieyu , Jin, Tao et al. Power Quality Disturbance Recognition Method Based on Feature Image Combination and Modified ResNet-18 [J]. | Proceedings of the Chinese Society of Electrical Engineering , 2024 , 44 (7) : 2531-2544 . |
| MLA | Zhang, Yi et al. "Power Quality Disturbance Recognition Method Based on Feature Image Combination and Modified ResNet-18" . | Proceedings of the Chinese Society of Electrical Engineering 44 . 7 (2024) : 2531-2544 . |
| APA | Zhang, Yi , Ou, Jieyu , Jin, Tao , Bi, Guihong . Power Quality Disturbance Recognition Method Based on Feature Image Combination and Modified ResNet-18 . | Proceedings of the Chinese Society of Electrical Engineering , 2024 , 44 (7) , 2531-2544 . |
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针对传统电能质量扰动(power quality disturbance,PQD)识别体系中单一图像特征信息受限与算法识别能力不足等问题，依据特征融合的思想，提出一种基于特征图像组合与改进ResNet-18的PQD识别方法。首先，对PQD信号进行变分模态分解(variational mode decomposition,VMD)得到一系列固有模态函数(intrinsic mode functions,IMFs)与残差分量；其次，将IMFs、残差分量、原始扰动信号与Subtract分量纵向拼接成分量矩阵，利用信号-图像转化方法生成特征分量彩色图；再次，对原始扰动信号进行连续小波变换(continuous wavelet transform,CWT)生成小波时-频图；最后，将特征分量彩色图与小波时-频图组合输入改进的六通道ResNet-18中训练学习并完成扰动识别。通过仿真对PQD识别方法进行分析并将其与目前常用识别体系进行比较。结果表明，所提方法具有较好的抗噪性能并且能够更好地提取PQD特征信息，达到更高的识别准确率。
Keyword ：
变分模态分解 变分模态分解 小波时-频图 小波时-频图 残差网络 残差网络 特征分量彩色图 特征分量彩色图 电能质量扰动 电能质量扰动
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| GB/T 7714 | 张逸 , 欧杰宇 , 金涛 et al. 基于特征图像组合与改进ResNet-18的电能质量扰动识别方法 [J]. | 中国电机工程学报 , 2024 , 44 (07) : 2531-2545 . |
| MLA | 张逸 et al. "基于特征图像组合与改进ResNet-18的电能质量扰动识别方法" . | 中国电机工程学报 44 . 07 (2024) : 2531-2545 . |
| APA | 张逸 , 欧杰宇 , 金涛 , 毕贵红 . 基于特征图像组合与改进ResNet-18的电能质量扰动识别方法 . | 中国电机工程学报 , 2024 , 44 (07) , 2531-2545 . |
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针对磁纳米粒子(magnetic nanoparticles,MNPs)建模过于理想化的问题，在肿瘤模型内构建了多种单分散和多分散的MNPs.在此基础上，以MNPs的功耗为输入通过求解生物传热方程来预测模型治疗温度，继而研究了不同分散性MNPs对磁热疗治疗效果的影响差异.此外，考虑一种接近真实的多分散性MNPs模型中构建了基于模糊自适应比例积分微分磁热疗控制系统，该系统能通过温度反馈实时控制磁热疗治疗温度处于临界值46℃，解决了因MNPs分布不均匀性和多分散性导致目标区域局部温度难以稳定在最佳治疗温度46℃的问题.仿真结果表明：在相同的治疗条件下，MNPs粒径集中程度和肿瘤区粒子分布均匀性的提高均可有效地改善治疗效果，而所设计的控制系统能够以较快的速度使最高温度稳定在最优值46℃，显著提高治疗效果.
Keyword ：
PID控制 PID控制 温度场 温度场 磁热疗 磁热疗 磁纳米粒子 磁纳米粒子 粒径分布 粒径分布
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| GB/T 7714 | 汤云东 , 陈鸣 , 金涛 . 考虑粒子分散性的磁热疗温度分布评估及优化 [J]. | 华中科技大学学报(自然科学版) , 2024 , 52 (03) : 65-71 . |
| MLA | 汤云东 et al. "考虑粒子分散性的磁热疗温度分布评估及优化" . | 华中科技大学学报(自然科学版) 52 . 03 (2024) : 65-71 . |
| APA | 汤云东 , 陈鸣 , 金涛 . 考虑粒子分散性的磁热疗温度分布评估及优化 . | 华中科技大学学报(自然科学版) , 2024 , 52 (03) , 65-71 . |
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To enhance the accuracy of theft detection for electricity consumers, this paper introduces a novel strategy based on the fusion of the dual-time feature and deep learning methods. Initially, considering electricity-consumption features at dual temporal scales, the paper employs temporal convolutional networks (TCN) with a long short-term memory (LSTM) multi-level feature extraction module (LSTM-TCN) and deep convolutional neural network (DCNN) to parallelly extract features at these scales. Subsequently, the extracted features are coupled and input into a fully connected (FC) layer for classification, enabling the precise detection of theft users. To validate the method's effectiveness, real electricity-consumption data from the State Grid Corporation of China (SGCC) is used for testing. The experimental results demonstrate that the proposed method achieves a remarkable detection accuracy of up to 94.7% during testing, showcasing excellent performance across various evaluation metrics. Specifically, it attained values of 0.932, 0.964, 0.948, and 0.986 for precision, recall, F1 score, and AUC, respectively. Additionally, the paper conducts a comparative analysis with mainstream theft identification approaches. In the comparison of training processes, the proposed method exhibits significant advantages in terms of identification accuracy and fitting degree. Moreover, with adjustments to the training set proportions, the proposed method shows minimal impact, indicating robustness.
Keyword ：
deep learning deep learning electricity theft detection electricity theft detection feature fusion feature fusion parallel model parallel model
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| GB/T 7714 | Huang, Qinyu , Tang, Zhenli , Weng, Xiaofeng et al. A Novel Electricity Theft Detection Strategy Based on Dual-Time Feature Fusion and Deep Learning Methods [J]. | ENERGIES , 2024 , 17 (2) . |
| MLA | Huang, Qinyu et al. "A Novel Electricity Theft Detection Strategy Based on Dual-Time Feature Fusion and Deep Learning Methods" . | ENERGIES 17 . 2 (2024) . |
| APA | Huang, Qinyu , Tang, Zhenli , Weng, Xiaofeng , He, Min , Liu, Fang , Yang, Mingfa et al. A Novel Electricity Theft Detection Strategy Based on Dual-Time Feature Fusion and Deep Learning Methods . | ENERGIES , 2024 , 17 (2) . |
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In view of the problem of too idealized modeling for magnetic nanoparticles，a variety of monodisperse and polydisperse magnetic nanoparticles (MNPs) distributions were constructed for a proposed tumor model．On this basis，the treatment temperature for the proposed model was predicted by solving the biological heat transfer equation after taking the power consumption of MNPs as the input，and the therapeutic effect differences due to different dispersed MNPs during magnetic hyperthermia were further investigated． In addition，a fuzzy adaptive proportional-integral-differential control system for magnetic hyperthermia was constructed after considering a more real distribution for polydisperse MNPs． This system can accurately control the treatment temperature within a critical value (46°C) by temperature feedback during magnetic hyperthermia，which solves the problem that the local temperature of target area is difficult to stabilize at the optimal safe treatment temperature due to the inhomogeneous distribution and polydispersity of MNPs．The simulation results demonstrate that the treatment effect can be improved by increasing the aggregation degree of MNPs size and the uniformity of MNPs distribution in the tumor area under the same treatment conditions．Furthermore，the control system proposed can significantly improve the treatment effect by quickly stabilizing the maximum temperature to an optimal value，46°C． © 2024 Huazhong University of Science and Technology. All rights reserved.
Keyword ：
Adaptive control systems Adaptive control systems Heat transfer Heat transfer Hyperthermia therapy Hyperthermia therapy Particle size Particle size Particle size analysis Particle size analysis Polydispersity Polydispersity Proportional control systems Proportional control systems Tumors Tumors Two term control systems Two term control systems
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| GB/T 7714 | Tang, Yundong , Chen, Ming , Jin, Tao . Evaluation and optimization for temperature distribution in magnetic hyperthermia considering particle dispersion [J]. | Journal of Huazhong University of Science and Technology (Natural Science Edition) , 2024 , 52 (3) : 65-71 . |
| MLA | Tang, Yundong et al. "Evaluation and optimization for temperature distribution in magnetic hyperthermia considering particle dispersion" . | Journal of Huazhong University of Science and Technology (Natural Science Edition) 52 . 3 (2024) : 65-71 . |
| APA | Tang, Yundong , Chen, Ming , Jin, Tao . Evaluation and optimization for temperature distribution in magnetic hyperthermia considering particle dispersion . | Journal of Huazhong University of Science and Technology (Natural Science Edition) , 2024 , 52 (3) , 65-71 . |
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Despite the widespread use of radio frequency identification and wireless connectivity such as near field communication in electric vehicles, their security and privacy implications in Ad-Hoc networks have not been well explored. This article provides a data protection assessment of radio frequency electronic system in the tire pressure monitoring system (TPMS). It is demonstrated that eavesdropping is completely feasible from a passing car, at an approximate distance up to 50 m. Furthermore, our reverse analysis shows that the static n-bit signatures and messaging can be eavesdropped from a relatively far distance, raising privacy concerns as a vehicles' movements can be tracked by using the unique IDs of tire pressure sensors. Unfortunately, current protocols do not use authentication, and automobile technologies hardly follow routine message confirmation so sensor messages may be spoofed remotely. To improve the security of TPMS, we suggest a novel ultralightweight mutual authentication for the TPMS registry process in the automotive network. Our experimental results confirm the effectiveness and security of the proposed method in TPMS.
Keyword ：
Authentication Authentication blockchain blockchain cybersecurity cybersecurity electric vehicle (EV) electric vehicle (EV) tire pressure monitoring system (TPMS) tire pressure monitoring system (TPMS)
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| GB/T 7714 | Razmjoui, Pouyan , Kavousi-Fard, Abdollah , Jin, Tao et al. A Blockchain-Based Mutual Authentication Method to Secure the Electric Vehicles' TPMS [J]. | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS , 2024 , 20 (1) : 158-168 . |
| MLA | Razmjoui, Pouyan et al. "A Blockchain-Based Mutual Authentication Method to Secure the Electric Vehicles' TPMS" . | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 20 . 1 (2024) : 158-168 . |
| APA | Razmjoui, Pouyan , Kavousi-Fard, Abdollah , Jin, Tao , Dabbaghjamanesh, Morteza , Karimi, Mazaher , Jolfaei, Alireza . A Blockchain-Based Mutual Authentication Method to Secure the Electric Vehicles' TPMS . | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS , 2024 , 20 (1) , 158-168 . |
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针对清洁能源并网发电系统中直流升压变换器的现有技术缺陷,提出一种新型的准Z源高升压DC-DC变换器.该变换器通过将准Z源网络与独特的耦合电感集成结构结合,能在较低的占空比和匝比下实现高电压增益.拓扑中的钳位回路回收了储存在耦合电感漏感中的能量,能有效缓解耦合电感漏感引起的尖峰电压.此外,变换器功率器件电压应力水平较低,便于使用低耐压器件来提高转换效率.输入电流连续以及输入输出共地的特点使得该变换器适合应用于可再生能源场景.详细介绍了所提变换器的工作原理,给出了关键性的公式推导和设计依据,并进行性能比较.最后,设计并搭建一台200 W额定功率的样机进行实验验证,实验结果与理论分析相吻合.
Keyword ：
DC-DC变换器 DC-DC变换器 三绕组 三绕组 准Z源 准Z源 增益调节 增益调节 耦合电路 耦合电路
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| GB/T 7714 | 林佳奇 , 李海滨 , 翁雨森 et al. 基于三绕组耦合电感的准Z源高增益DC-DC变换器 [J]. | 太阳能学报 , 2024 , 45 (9) : 369-377 . |
| MLA | 林佳奇 et al. "基于三绕组耦合电感的准Z源高增益DC-DC变换器" . | 太阳能学报 45 . 9 (2024) : 369-377 . |
| APA | 林佳奇 , 李海滨 , 翁雨森 , 颜胥 , 金涛 . 基于三绕组耦合电感的准Z源高增益DC-DC变换器 . | 太阳能学报 , 2024 , 45 (9) , 369-377 . |
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A DC-DC converter with high boost and low switching voltage stress is proposed by combining switched capacitor (SC) and coupled inductor (CL) techniques based on a conventional boost circuit. The design methodology of this converter includes substituting SC for a single switch in the boost converter, combining CL, and integrating a resonant boost circuit for absorbing leakage inductance. The improved power switch topology in this design has lower voltage stress, lower diode current stress, fewer total components, and common ground than other conventional DC-DC converters. The operating modes and steady state analysis of the converter are provided in terms of leakage inductance utilization, with component stress derivation and theoretical efficiency analysis. In addition, comparisons with other dc-dc converters are made. Subsequently, experiments were conducted on a 200 W DC-DC converter prototype to verify the reliability of the converter. © 2024 John Wiley & Sons Ltd.
Keyword ：
DC-DC converter DC-DC converter high step-up high step-up leakage inductance leakage inductance low switch stress low switch stress
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| GB/T 7714 | Chen, Y. , Li, H. , Chen, H. et al. A novel high step-up, low switching voltage stress DC-DC converter using leakage inductance for resonant boosting [J]. | International Journal of Circuit Theory and Applications , 2024 . |
| MLA | Chen, Y. et al. "A novel high step-up, low switching voltage stress DC-DC converter using leakage inductance for resonant boosting" . | International Journal of Circuit Theory and Applications (2024) . |
| APA | Chen, Y. , Li, H. , Chen, H. , Jin, T. . A novel high step-up, low switching voltage stress DC-DC converter using leakage inductance for resonant boosting . | International Journal of Circuit Theory and Applications , 2024 . |
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