Journal of Electrical Engineering & Technology最新文献_第4页

Study on Electromagnetic Performance of Skewed Permanent Magnet Axial Flux Permanent Magnet Synchronous Motor 倾斜永磁轴向磁通永磁同步电机电磁性能研究

IF 1.9 4区工程技术

Journal of Electrical Engineering & Technology Pub Date : 2024-08-17 DOI: 10.1007/s42835-024-01987-5

Junhong Wang, Zengjin Xu, Zuoxia Xing, Yang Liu, Wei Ji

引用次数: 0

A Hybrid Protection Scheme for Active Distribution Networks Based on Fault Components Principle 基于故障元件原理的有源配电网络混合保护方案

IF 1.9 4区工程技术

Journal of Electrical Engineering & Technology Pub Date : 2024-08-17 DOI: 10.1007/s42835-024-02015-2

Rui-feng Zhao, Biao-long Su, Zhi-wen Yu, Kai-lin Wang, Jian-gang Lu

{"title":"A Hybrid Protection Scheme for Active Distribution Networks Based on Fault Components Principle","authors":"Rui-feng Zhao, Biao-long Su, Zhi-wen Yu, Kai-lin Wang, Jian-gang Lu","doi":"10.1007/s42835-024-02015-2","DOIUrl":"https://doi.org/10.1007/s42835-024-02015-2","url":null,"abstract":"The integration of distributed generation (DG) into active distribution networks poses significant challenges to traditional protection schemes due to altered power flow directions and the impact on short-circuit fault currents. This paper proposes a novel multi-layered protection scheme based on fault current components to address these challenges. The scheme incorporates pilot protection, DG active islanding protection, and traditional three-stage overcurrent protection, leveraging the amplitude ratios and phase differences of positive and negative sequence current components. A compensation mechanism is introduced to adjust the protection setting, enhancing the sensitivity and reliability of the protection criteria. Through MATLAB/Simulink simulations on a 10 kV active distribution network model, the proposed scheme demonstrates robust performance under various fault conditions, providing comprehensive and reliable protection. This scheme advances the state-of-the-art by integrating multiple fault characteristics and optimizing sensitivity, offering a new approach to enhance the protection of future active distribution networks.","PeriodicalId":15577,"journal":{"name":"Journal of Electrical Engineering & Technology","volume":"40 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142176161","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

Enhancing Distribution System Pliability and Planning with Distributed Generators Using Fuzzy Firefly Optimization 利用模糊萤火虫优化增强分布式发电机的配电系统灵活性和规划性

IF 1.9 4区工程技术

Journal of Electrical Engineering & Technology Pub Date : 2024-08-16 DOI: 10.1007/s42835-024-02010-7

S. Anbuchandran, S. T. Jaya Christa, S. Kannan, A. Bhuvanesh

{"title":"Enhancing Distribution System Pliability and Planning with Distributed Generators Using Fuzzy Firefly Optimization","authors":"S. Anbuchandran, S. T. Jaya Christa, S. Kannan, A. Bhuvanesh","doi":"10.1007/s42835-024-02010-7","DOIUrl":"https://doi.org/10.1007/s42835-024-02010-7","url":null,"abstract":"Traditional power grids experience significant energy loss during distribution. Distributed generation (DG) technologies offer a promising solution by introducing smaller power sources closer to demand centers. These localized sources relieve a certain pressure on centralized power plants that reduces transmission losses. However, improper sizing and on-site placement of DGs can cause technical challenges, economic drawbacks, and environmental concerns. Historically, the process of identifying optimal sites and capacities for DGs has presented grid operators with formidable computational challenges, intensifying their workload. Nonetheless, the advent of sophisticated optimization software has revolutionized this task, offering a more efficient and manageable solution for operators navigating the complexities of grid management. This research deals the utilization of a fuzzified firefly optimization (FFO) algorithm to enhance the allocation of distributed generators (DGs) within a distribution system. Through strategic placement of diverse DG types, the FFO strategy targets the minimization of both real and reactive power losses. Subsequently, the study assesses the influence of this optimization on critical system performance metrics. To gauge the efficacy of the approach across varied load conditions, the investigation integrates different DG types into an IEEE 85-bus test system and conducts simulations spanning from below-rated (0.5) to above-rated (1.5) load capacities.","PeriodicalId":15577,"journal":{"name":"Journal of Electrical Engineering & Technology","volume":"41 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142176164","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

Research on Permanent Magnet Brushless DC Motor Based on Bonded Magnets 基于粘结磁铁的永磁无刷直流电机研究

IF 1.9 4区工程技术

Journal of Electrical Engineering & Technology Pub Date : 2024-08-15 DOI: 10.1007/s42835-024-02007-2

Yinan Wang, Baichuan Liu, Yang Luo, Yuanfei Yang, Chunsheng Guo, Tingting Wang, Juntao Yu, Li Wang

{"title":"Research on Permanent Magnet Brushless DC Motor Based on Bonded Magnets","authors":"Yinan Wang, Baichuan Liu, Yang Luo, Yuanfei Yang, Chunsheng Guo, Tingting Wang, Juntao Yu, Li Wang","doi":"10.1007/s42835-024-02007-2","DOIUrl":"https://doi.org/10.1007/s42835-024-02007-2","url":null,"abstract":"The ring-shaped bonded magnet has the advantages of low cost, simple molding, easy assembly, and low eddy current loss, but it has weak magnetic performance. To improve the comprehensive performance of the motor, the motor structure needs to be optimized. In this paper, the ring-shaped bonded magnet is applied to the permanent magnet brushless DC(PMBLDC) motor. According to the characteristics of ring-shaped bonded magnet, a multi-parameter and multi-objective optimization method is proposed to shorten the design time and improve the optimization effect. Based on the equivalent magnetic circuit model, the key parameters affecting the motor performance are derived, then the requirements of permanent magnet demagnetization and motor stability are used as constraints to determine the range of parameter values. The sample data sets of the relationship between the structural parameters and the motor performance are established by the Taguchi method. The quadratic response surface regression model is used to fit the sample data set. Then the modified ant colony algorithm is used to search the optimal target. According to the optimized motor structure parameters, the motor prototype is processed. The results show that the optimized structure can effectively improve the output torque and reduce the cogging torque, torque ripple and operating noise without reducing the efficiency. The research results provide a basis for further development of the application of ring-shaped bonded magnet in micro-motors, and drive the development of motors with lightweight, miniaturization and low cost.","PeriodicalId":15577,"journal":{"name":"Journal of Electrical Engineering & Technology","volume":"19 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142223287","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

Atrial Fibrillation Identification Using CNNs Based on Genomic Data 使用基于基因组数据的 CNN 识别心房颤动

IF 1.9 4区工程技术

Journal of Electrical Engineering & Technology Pub Date : 2024-08-14 DOI: 10.1007/s42835-024-01998-2

Jaehyung Lee, Oh-Seok Kwon, Gayeon Ryu, Hangsik Shin, Hui-Nam Pak

{"title":"Atrial Fibrillation Identification Using CNNs Based on Genomic Data","authors":"Jaehyung Lee, Oh-Seok Kwon, Gayeon Ryu, Hangsik Shin, Hui-Nam Pak","doi":"10.1007/s42835-024-01998-2","DOIUrl":"https://doi.org/10.1007/s42835-024-01998-2","url":null,"abstract":"Atrial fibrillation (AF) is the most common cardiac arrhythmia and a major cardiovascular disease epidemic of the 21st century. Early diagnosis and intervention are crucial as AF often progresses without symptoms. This study aims to identify AF using genome-wide association studies and convolutional neural networks (CNN). Genomic data from 6,358 individuals were used to develop a CNN model, with L2 regularization applied to prevent overfitting. The L2-regularized CNN significantly outperformed the regular CNN across various p-value thresholds. For instance, at p < 0.0001, the L2-regularized CNN achieved an accuracy of 0.731 ± 0.071 compared to 0.703 ± 0.055 for the regular CNN. At p < 0.001, the L2-regularized CNN showed an accuracy of 0.630 ± 0.089, while the regular CNN had 0.577 ± 0.095. This demonstrates a notable improvement in model performance with L2 regularization. Although the regular CNN showed higher accuracy in some scenarios, such as achieving 0.984 ± 0.015 at p < 0.01 compared to 0.970 ± 0.020 for the L2-regularized CNN, the performance difference between the models decreased as the p-value threshold became more stringent. Overall, L2 regularization not only improved the model’s performance and stability but also reduced the performance gap between the models under stricter p-value conditions. These findings highlight that L2-regularized CNNs can significantly enhance performance in genomic studies, offering a more effective alternative to traditional polygenic risk score methods for AF identification study.","PeriodicalId":15577,"journal":{"name":"Journal of Electrical Engineering & Technology","volume":"116 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142176166","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

A Study of Novel Initial Fire Detection Algorithm Based on Deep Learning Method 基于深度学习方法的新型初期火灾探测算法研究

IF 1.9 4区工程技术

Journal of Electrical Engineering & Technology Pub Date : 2024-08-13 DOI: 10.1007/s42835-024-02009-0

RaeHyun Yu, Kyungho Kim

{"title":"A Study of Novel Initial Fire Detection Algorithm Based on Deep Learning Method","authors":"RaeHyun Yu, Kyungho Kim","doi":"10.1007/s42835-024-02009-0","DOIUrl":"https://doi.org/10.1007/s42835-024-02009-0","url":null,"abstract":"A small ember, created by a chemical reaction between a substance and oxygen, can grow into a large fire as temperature, wind, and weather conditions change. A growing fire incident can have devastating consequences, including property loss, environmental damage, and loss of life, which is why early fire detection is so important. There are various detection devices such as smoke detectors, heat detectors, fire detectors, and gas detectors that can be used in the early stages of a fire. While early fire detection system developments incorporating IoT technology are emerging in various industries, Smoke alarms, the most common type of smoke detector in homes and offices, accounted for 96.6% of all malfunctions from 2021 to July of the previous year, totaling 249,445 incidents. The analysis of detector malfunctions showed that non-fire alarm factors such as food, cooking, and dust accounted for the largest share of 40.6%. This paper proposes an algorithm for early fire detection by incorporating a deep learning-based model to compensate for the problem of non-fire warning malfunctions, which is a shortcoming of existing detectors. Finally, for fire detection, a bounding box for the fire is specified using a smoke detector, a thermal imaging camera, and a webcam camera trained with the Yolov7 model. Then, we propose an algorithm to remove the bounding box of non-fire reports and malfunctions from the heating map using smoke detectors and thermal imaging cameras. After applying the algorithm proposed in this paper, only fires with heat sources are recognized, and all bounding boxes for non-fire reports are removed.","PeriodicalId":15577,"journal":{"name":"Journal of Electrical Engineering & Technology","volume":"11 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142176169","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

On-line Trajectory Optimization in Parameter Space for Automatic Pumping Cycle of Airborne Wind Energy System 机载风能系统自动抽水循环的参数空间在线轨迹优化

IF 1.9 4区工程技术

Journal of Electrical Engineering & Technology Pub Date : 2024-08-13 DOI: 10.1007/s42835-024-02006-3

Kwang-Hee Han, Ick-Ho Whang, Won-Sang Ra

引用次数: 0

The Simplest Memristor Oscillator is blessed with an Edge of Chaos Kernel 最简单的 Memristor 振荡器得益于混沌边缘内核

IF 1.9 4区工程技术

Journal of Electrical Engineering & Technology Pub Date : 2024-08-13 DOI: 10.1007/s42835-024-02011-6

Maheshwar Sah, Vetriveeran Rajamani, Ram Kaji Budhathoki, Devaraj Somasundaram, Sultan Mahmood Chowdhury

引用次数: 0

An Active Learning Local Control Method for Optimal Power Flow in Low Voltage Distribution Networks Considering Missing Data 考虑缺失数据的低压配电网络最佳功率流主动学习本地控制方法

IF 1.9 4区工程技术

Journal of Electrical Engineering & Technology Pub Date : 2024-08-13 DOI: 10.1007/s42835-024-01988-4

Shengquan Huang, Jiale Zhang, Xiaoqing Bai

{"title":"An Active Learning Local Control Method for Optimal Power Flow in Low Voltage Distribution Networks Considering Missing Data","authors":"Shengquan Huang, Jiale Zhang, Xiaoqing Bai","doi":"10.1007/s42835-024-01988-4","DOIUrl":"https://doi.org/10.1007/s42835-024-01988-4","url":null,"abstract":"The high penetration of renewable energy sources, especially solar photovoltaic, poses a significant challenge in distribution networks. Data-driven local control is an effective and budgeted way to ensure reliable distribution operation. However, this mode will face computationally expensive and ineffective problems with extensive historical data in the same operational period. In addition, the phenomenon of missing data will worsen due to the errors of measurement instruments. Therefore, an active learning local control method is proposed to select samples with diversity to improve the efficiency of the control scheme and maintain the performance designed by the original samples under the missing condition. Firstly, an optimal power flow model in a low-voltage distribution network is constructed considering the neutral line’s impact. Then, the historical data containing missing values are processed by an imputation method, and an active learning method based on a greedy algorithm is introduced to select diverse samples, which speeds up the offline process of local control. Finally, we formulate the operation rules of the photovoltaic inverter and energy storage systems, which work as local devices in real-time control. The simulation results show that the proposed method realizes safe operation, saves the required time in the training stage, and achieves nearly approximate performance compared to the scheme designed by the original samples. Furthermore, this paper investigates the impact of different rates of missing data on local control and presents the proposed method to achieve the security and cost-effectiveness of the system under any missing condition.","PeriodicalId":15577,"journal":{"name":"Journal of Electrical Engineering & Technology","volume":"9 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142223288","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

Analysis of High-Speed Pantograph Design Parameters with Changes in Span Length 随跨度长度变化的高速受电弓设计参数分析

IF 1.9 4区工程技术

Journal of Electrical Engineering & Technology Pub Date : 2024-08-13 DOI: 10.1007/s42835-024-01972-y

Kiwon Lee, Chulmin Park, Dongkue Kim, Jongmin Han, Young Park

引用次数: 0