IEEJ Transactions on Electrical and Electronic Engineering最新文献_第4页

RISC Fault of Non-Salient Wound-Rotor Synchronous Generator: A Detection Method and Effect Analysis of Insulation 无凸极绕线转子同步发电机的RISC故障：一种绝缘检测方法及影响分析

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-11-19 DOI: 10.1002/tee.24234

Kai Sun, Yu-ling He, Xue-wei Wu, Wen Wang, David Gerada, Hong-hua Bai, Wei-ling Huang

{"title":"RISC Fault of Non-Salient Wound-Rotor Synchronous Generator: A Detection Method and Effect Analysis of Insulation","authors":"Kai Sun, Yu-ling He, Xue-wei Wu, Wen Wang, David Gerada, Hong-hua Bai, Wei-ling Huang","doi":"10.1002/tee.24234","DOIUrl":"https://doi.org/10.1002/tee.24234","url":null,"abstract":"Rotor interturn short circuit (RISC) fault is one of the most prevalent fault types in the non-salient wound-rotor synchronous generator (WRSG). In the paper, the theoretical mechanism of the RISC fault is studied in detail. Building upon this understanding, from the fault detection and harm consequences, the further work of this article includes proposing a RISC detection method and analyzing the influence of RISC on the insulation thermal damage. On the one hand, a new detection for RISC fault is first proposed based on the phase voltage. The proposed detection method innovatively allows for accurate determination of both the severity and location of RISC faults. On the other hand, the loss and the temperature of the stator core-winding system are comprehensively investigated with varied RISC degrees and positions. The thermal responses of the winding insulation are obtained under the joint action of the external magnetic heat source and the internal electric heat source. The study identifies critical points of insulation vulnerability, particularly noting areas prone to noise and connection joints. This research contributes to the timely online identification of RISC faults and supports preventive maintenance strategies for protecting winding insulation. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 5","pages":"722-735"},"PeriodicalIF":1.0,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143749899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Robust Dynamic State Estimation for Power System Based on Generalized Correntropy Loss Function and Unscented Kalman Filter 基于广义熵损失函数和无嗅卡尔曼滤波的电力系统鲁棒动态估计

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-11-18 DOI: 10.1002/tee.24229

Tengpeng Chen, Hongxuan Luo, Yuhao Sun, Eddy Y. S. Foo, Tao Zeng, Gehan A. J. Amaratunga

引用次数: 0

Study on Lightning Protection of Large-Scale Photovoltaic Power Station by Spiral Multiple Pair Blowing Units 大型光伏电站螺旋多对吹风机防雷研究

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-11-13 DOI: 10.1002/tee.24233

Honglin Qin, Ping Huang

引用次数: 0

Integral Sliding Mode-Composite Nonlinear Feedback Control Strategy for Microgrid Inverter Systems 微电网逆变系统的积分滑模复合非线性反馈控制策略

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-11-12 DOI: 10.1002/tee.24236

Ye Zhang, Chunbo Xiu, Guowei Xu

{"title":"Integral Sliding Mode-Composite Nonlinear Feedback Control Strategy for Microgrid Inverter Systems","authors":"Ye Zhang, Chunbo Xiu, Guowei Xu","doi":"10.1002/tee.24236","DOIUrl":"https://doi.org/10.1002/tee.24236","url":null,"abstract":"To enhance the dynamic performance and robustness of the voltage control system of islanded microgrid inverters, a new control strategy combining integral sliding mode (ISM) control and composite nonlinear feedback (CNF) control is proposed. In ISM control, firstly, a new reaching law is designed to improve movement quality in the reaching phase by improving the power term and introducing the inverse tangent function. Then, to improve disturbance observation accuracy, a variable gain extended state observer is designed by improving the regulation mechanism of the state variables according to deviation control. Using the idea of variable damping, linear and nonlinear feedback are combined into CNF control. Specifically, linear feedback provides a small damping ratio for faster system response, while nonlinear feedback increases the damping ratio to improve steady-state performance. Simulation results show that the integral sliding mode-composite nonlinear feedback (ISM-CNF) control strategy cam balances convergence speed and chattering better and achieves higher steady-state accuracy than conventional strategies. Moreover, ISM-CNF control has better robustness to reference voltage variations and disturbances caused by sudden load changes. Therefore, the ISM-CNF control strategy can accomplish voltage control of islanded microgrid inverters quickly and steadily, effectively suppressing system disturbances and enhancing stability and power quality. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 5","pages":"779-790"},"PeriodicalIF":1.0,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143749414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

EV Charging Prediction in Residential Area Based on SE-GRU-MA Model Consider Multi-Source Data Feature Mining 考虑多源数据特征挖掘的SE-GRU-MA模型住宅小区电动汽车充电预测

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-11-11 DOI: 10.1002/tee.24235

Wenhua Zhang, Chun Chen, Huahao Zhou, Yajia Ni, Ze Qi, Shenglan Yang, Maosheng Xu, Jinyang Li

{"title":"EV Charging Prediction in Residential Area Based on SE-GRU-MA Model Consider Multi-Source Data Feature Mining","authors":"Wenhua Zhang, Chun Chen, Huahao Zhou, Yajia Ni, Ze Qi, Shenglan Yang, Maosheng Xu, Jinyang Li","doi":"10.1002/tee.24235","DOIUrl":"https://doi.org/10.1002/tee.24235","url":null,"abstract":"The number of electric vehicle (EV) in residential areas is growing rapidly, resulting in large-scale charging of EVs connected to the distribution network. This poses a challenge to the safe and stable operation of the distribution network. In order to cope with this challenge, it is crucial to achieve accurate EV charging load prediction. However, current researches on EV charging load prediction suffer from insufficient data feature mining and lower prediction accuracy. To address this issue, this paper proposes a SE-GRU-MA residential EV charging load prediction method that incorporates multi-source data feature mining. The proposed method employs a multi-source data feature mining approach based on Pearson correlation analysis, which enhances the training efficiency and prediction accuracy of the prediction model. Additionally, this study develops a prediction model based on SE-GRU-MA hybrid network to achieve accurate EV charging load prediction. Simulation cases on actual history data validate that the proposed feature mining method can effectively promote prediction accuracy, and proposed SE-GRU-MA prediction model exhibits superior prediction capability in comparison to existing models. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 5","pages":"767-778"},"PeriodicalIF":1.0,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143749663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Wrap-Around String-Like ToF and Self-Capacitance Combined Sensor for Robots 机器人绕线式ToF和自电容组合传感器

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-11-09 DOI: 10.1002/tee.24232

Satoshi Tsuji

引用次数: 0

Research on the Isolated Three-Port DC-DC Converter with Resonant Parameter Compensation Capability and Its Performance Optimization 具有谐振参数补偿能力的隔离型三端口DC-DC变换器及其性能优化研究

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-11-08 DOI: 10.1002/tee.24228

Xinsheng Zhang, Hongchen Liu

{"title":"Research on the Isolated Three-Port DC-DC Converter with Resonant Parameter Compensation Capability and Its Performance Optimization","authors":"Xinsheng Zhang, Hongchen Liu","doi":"10.1002/tee.24228","DOIUrl":"https://doi.org/10.1002/tee.24228","url":null,"abstract":"In order to eliminate the adverse effects caused by power coupling of the isolated three-port converter (ITPC), this paper proposes a three-port resonant converter that uses a switch-controlled-capacitor (SCC) and an auxiliary inductor, which has resonant parameter compensation capability (RPC-ITPC). The topology and operational principle of RPC-ITPC are discussed in detail. To achieve resonant-type power decoupling, it is usually necessary to ensure that the resonant frequency of the decoupling port resonant tank is consistent with the switching frequency, which puts high demands on the accuracy of the resonant components. To address the sensitivity of resonant-type power decoupling to the parameters of resonant components, an SCC was adopted to solve the problem. The use of SCC enables the RPC-ITPC to have resonant parameter compensation capability. In order to further optimize the performance of the RPC-ITPC, a triple-phase-shift (TPS) modulation strategy is proposed to achieve the minimum RMS value of resonant current (MRMS-TPSMS). Under the MRMS-TPSMS, the switching devices of the power decoupling port have difficulty achieving ZVS turn-on. To circumvent this problem, we realize ZVS of the decoupling port switching devices via auxiliary inductor current injection. Finally, a 1 kW experimental prototype was constructed to validate the theoretical propositions presented in this study. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 5","pages":"791-800"},"PeriodicalIF":1.0,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143749747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IG-YOLOv8: Insulator Guardian Based on YOLO for Insulator Fault Detection IG-YOLOv8：基于YOLO的绝缘子故障检测

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-11-06 DOI: 10.1002/tee.24221

Shenwang Li, Minjie Wang, Yuyang Zhou, Qiuren Su, Li Liu, Thomas Wu

{"title":"IG-YOLOv8: Insulator Guardian Based on YOLO for Insulator Fault Detection","authors":"Shenwang Li, Minjie Wang, Yuyang Zhou, Qiuren Su, Li Liu, Thomas Wu","doi":"10.1002/tee.24221","DOIUrl":"https://doi.org/10.1002/tee.24221","url":null,"abstract":"Insulators have an extremely important role in transmission lines, and they are important components for ensuring the safe operation of transmission lines. In order to solve the difficult problem of insulator fault detection under complex background, IG-YOLOv8 insulator fault detection algorithm is proposed in this paper. First, the Wise-IoU (WIoU) loss function is introduced to mitigate the adverse impact of low-quality images by employing a dynamic non-monotonic focusing mechanism, thereby enhancing the detection performance of the entire model. Second, a novel C2f network is constructed by integrating the receptive field coordination attention (RFCA) convolutional module to address the parameter-sharing issue associated with large convolutional kernels. Additionally, the data set has been reorganized using k-fold cross-validation to ensure that each subset undergoes training and testing, consequently reducing generalization errors. Finally, a deformable attention (DA) mechanism is employed to augment the feature extraction capability pertaining to insulator fault region information. In order to evaluate the detection performance of the improved IG-YOLOv8 algorithm, this study constructed an insulator target detection data set containing four fault types: Normal, Defect, Dirty, and Aging. The experimental results show that the average accuracy of the improved model is increased from 89.7% to 96.9%, and the Recall value of the Aging type insulator is increased from 71.8% to 89.1%. The occurrence of missed detection is greatly reduced, and the accuracy of detection is improved. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 4","pages":"537-547"},"PeriodicalIF":1.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143555097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting Electric Vehicle Charging Demand in Residential Areas Using POI Data and Decision-Making Model 基于POI数据和决策模型的居民区电动汽车充电需求预测

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-11-05 DOI: 10.1002/tee.24220

Huahao Zhou, Fangbai Liu, Hao Chen, Yajia Ni, Shenglan Yang, Wuhao Xu

{"title":"Predicting Electric Vehicle Charging Demand in Residential Areas Using POI Data and Decision-Making Model","authors":"Huahao Zhou, Fangbai Liu, Hao Chen, Yajia Ni, Shenglan Yang, Wuhao Xu","doi":"10.1002/tee.24220","DOIUrl":"https://doi.org/10.1002/tee.24220","url":null,"abstract":"Transport electrification is a crucial element of the ongoing energy transition, essential for achieving carbon peaking and carbon neutrality goals. The proliferation of electric vehicles (EVs) introduces significant challenges to power distribution network stability due to their aggregated charging load in residential areas, particularly during peak electricity consumption periods. This paper proposes a method to predict the spatiotemporal distribution of EV charging demand in residential areas using geographic information points of interest (POI) data features and a decision-making model. Utilizing real historical data, probability distribution models for EV users' arrival times and charging characteristics were constructed using Gaussian Mixture Models (GMM). The spatiotemporal characteristics of EV travel and charging behaviors were analyzed, and a comprehensive charging decision model incorporating both emergency and stochastic scenarios was developed. The model's efficacy in capturing the probability distributions of characteristic variables was validated through a case study. The results demonstrate the model's potential for accurately predicting EV charging demand, providing valuable insights for infrastructure planning and resource allocation. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 4","pages":"504-513"},"PeriodicalIF":1.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143554745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Text Detection on Industrial Barrel Label with Convolutional Attention and Dual-Branch Feature Network 基于卷积关注和双分支特征网络的工业桶标文本检测

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-11-05 DOI: 10.1002/tee.24231

Ling Wang, Jing Zhang, Peng Wang, Yane Bai

引用次数: 0