This study presents a novel approach for solving the economic dispatch (ED) problem in groups of generating units communicating through a communication network. The suggested strategy is a consensus-based dynamic event-triggered (ET) distributed optimization method. Our methodology considers the sharing of the local information between generators and their convex cost functions to address the total cost function and offers a decentralized optimization solution over a network. The proposed distributed method addresses the ED problem by considering the criterion of optimal cost and by offering efficient communication. Generating units are grouped according to their generation operational limits, that is, total capacity and dynamic ET distributed protocols are developed to ensure the consensus of cost variables among generating units, operating under normal capacity conditions. The remaining generating agents work on their operating limits, which are segregated through the sharing of flag information through a switching mechanism. Consequently, in contrast to the existing methods, the recommended protocol allows nodes to function in groups, based on the power supply, for ED with geographical clustering and capacity restrictions, in addition to handling the system constraints. Furthermore, the proposed technique employs a dynamic triggering method to manage bandwidth and guarantee the elimination of Zeno behavior. The simulation results validate the efficacy of the proposed approach.
本研究提出了一种解决通过通信网络通信的发电机组经济调度（ED）问题的新方法。所建议的策略是一种基于共识的动态事件触发（ET）分布式优化方法。我们的方法考虑了发电机之间的局部信息共享及其凸成本函数，以解决总成本函数问题，并通过网络提供分散优化解决方案。建议的分布式方法通过考虑最优成本标准和提供高效通信来解决 ED 问题。根据发电运行限制（即总容量）对发电机组进行分组，并制定动态 ET 分布式协议，以确保在正常容量条件下运行的发电机组之间就成本变量达成共识。其余发电代理则根据其运行极限工作，通过切换机制共享标志信息将其隔离。因此，与现有方法不同的是，建议的协议允许节点根据电力供应情况分组运行，以应对 ED 的地理集群和容量限制，此外还能处理系统约束。此外，建议的技术还采用了动态触发方法来管理带宽，并保证消除 Zeno 行为。仿真结果验证了所提方法的有效性。
{"title":"Consensus and Clustering Approach for Dynamic Event-Triggered Distributed Optimization of Power System Networks With Saturation Constraint Approche de consensus et de regroupement pour","authors":"Ijaz Ahmed;Muhammad Rehan;Abdul Basit;Fahad Saleh Al-Ismail;Muhammad Khalid","doi":"10.1109/ICJECE.2024.3402961","DOIUrl":"https://doi.org/10.1109/ICJECE.2024.3402961","url":null,"abstract":"This study presents a novel approach for solving the economic dispatch (ED) problem in groups of generating units communicating through a communication network. The suggested strategy is a consensus-based dynamic event-triggered (ET) distributed optimization method. Our methodology considers the sharing of the local information between generators and their convex cost functions to address the total cost function and offers a decentralized optimization solution over a network. The proposed distributed method addresses the ED problem by considering the criterion of optimal cost and by offering efficient communication. Generating units are grouped according to their generation operational limits, that is, total capacity and dynamic ET distributed protocols are developed to ensure the consensus of cost variables among generating units, operating under normal capacity conditions. The remaining generating agents work on their operating limits, which are segregated through the sharing of flag information through a switching mechanism. Consequently, in contrast to the existing methods, the recommended protocol allows nodes to function in groups, based on the power supply, for ED with geographical clustering and capacity restrictions, in addition to handling the system constraints. Furthermore, the proposed technique employs a dynamic triggering method to manage bandwidth and guarantee the elimination of Zeno behavior. The simulation results validate the efficacy of the proposed approach.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"47 3","pages":"136-147"},"PeriodicalIF":2.1,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142013420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-14DOI: 10.1109/ICJECE.2024.3379100
{"title":"IEEE Canadian Journal of Electrical and Computer Engineering","authors":"","doi":"10.1109/ICJECE.2024.3379100","DOIUrl":"https://doi.org/10.1109/ICJECE.2024.3379100","url":null,"abstract":"","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"47 2","pages":"C2-C2"},"PeriodicalIF":0.0,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10557783","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141326286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.1109/ICJECE.2024.3398653
Wu-Chih Hu;Liang-Bi Chen;Hong-Ming Lin
The fish industry is an important source of income for island countries. Fish is a main source of animal-based protein. Marine fishing is gradually being replaced by marine farming (or aquaculture) due to declining wild fish populations and water pollution. However, fish farming is costly job with high requirements for labor, electricity, water, and feed. The use of deep learning to perform intelligent surveillance in aquaculture fields, reducing the need for human resources and implementing real-time monitoring, has been proposed. In this article, we propose a novel deep residual network (ResNeXt $3 times 1 mathrm{D}$ ) for abnormal behavior recognition in aquaculture fields. The proposed ResNeXt $3 times 1 D$ convolutional network is mainly based on an $R(2+1) D$ convolutional network and modified to obtain better performance. Experimental results showed that the proposed ResNeXt $3 times 1 D$ exhibited good performance for abnormal behavior recognition in aquaculture fields. Specifically, the accuracy obtained using the proposed ResNeXt $3 times 1 mathrm{D}$ for abnormal behavior recognition in aquaculture fields was approximately $95.3 %$ .
渔业是岛屿国家的重要收入来源。鱼类是动物性蛋白质的主要来源。由于野生鱼类数量减少和水污染，海洋捕捞逐渐被海洋养殖（或水产养殖）所取代。然而，养鱼成本高昂，对劳动力、电力、水和饲料的要求很高。有人提出利用深度学习对水产养殖领域进行智能监控，以减少对人力资源的需求并实施实时监控。本文提出了一种新型深度残差网络（ResNeXt $3 times 1 mathrm{D}$ ），用于水产养殖领域的异常行为识别。所提出的 ResNeXt $3 times 1 D$ 卷积网络主要基于 $R(2+1) D$ 卷积网络，并对其进行了改进以获得更好的性能。实验结果表明，所提出的 ResNeXt 3 times 1 D$ 在水产养殖领域的异常行为识别中表现出了良好的性能。具体来说，使用所提出的 ResNeXt $3times 1 mathrm{D}$ 进行水产养殖领域异常行为识别的准确率约为 95.3 %$ 。
{"title":"A Method for Abnormal Behavior Recognition in Aquaculture Fields Using Deep Learning","authors":"Wu-Chih Hu;Liang-Bi Chen;Hong-Ming Lin","doi":"10.1109/ICJECE.2024.3398653","DOIUrl":"https://doi.org/10.1109/ICJECE.2024.3398653","url":null,"abstract":"The fish industry is an important source of income for island countries. Fish is a main source of animal-based protein. Marine fishing is gradually being replaced by marine farming (or aquaculture) due to declining wild fish populations and water pollution. However, fish farming is costly job with high requirements for labor, electricity, water, and feed. The use of deep learning to perform intelligent surveillance in aquaculture fields, reducing the need for human resources and implementing real-time monitoring, has been proposed. In this article, we propose a novel deep residual network (ResNeXt \u0000<inline-formula> <tex-math>$3 times 1 mathrm{D}$ </tex-math></inline-formula>\u0000) for abnormal behavior recognition in aquaculture fields. The proposed ResNeXt \u0000<inline-formula> <tex-math>$3 times 1 D$ </tex-math></inline-formula>\u0000 convolutional network is mainly based on an \u0000<inline-formula> <tex-math>$R(2+1) D$ </tex-math></inline-formula>\u0000 convolutional network and modified to obtain better performance. Experimental results showed that the proposed ResNeXt \u0000<inline-formula> <tex-math>$3 times 1 D$ </tex-math></inline-formula>\u0000 exhibited good performance for abnormal behavior recognition in aquaculture fields. Specifically, the accuracy obtained using the proposed ResNeXt \u0000<inline-formula> <tex-math>$3 times 1 mathrm{D}$ </tex-math></inline-formula>\u0000 for abnormal behavior recognition in aquaculture fields was approximately \u0000<inline-formula> <tex-math>$95.3 %$ </tex-math></inline-formula>\u0000.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"47 3","pages":"118-126"},"PeriodicalIF":2.1,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142013197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The permanent magnet synchronous motor (PMSM) has a more efficiency, high torque density, and high power density, but it suffers from torque ripple. This article describes the electromagnetic (EM) behavior of M19 29Ga material assists PMSM for 310 V, 5 A, and 1500 r/min. In addition, various materials as Losil 34050, Arnon 5, 50M290, M19 USS Transformer 72–29 gauge, and TR80 USS Transformer 80–29 gauge incorporated PMSM and which material has superiority, and with the superiority kept constant, changed the various magnet materials. The EEC 26-T350, MQP-14–12 835995, N45M, Recoma 22, Samarium Cobalt 20/30, Vacodym 890TP, and Vacomax 240 incorporated PMSM also investigated for EM finite-element analysis. The results of this study of the variable as torque ripple forecast the highest torque ( $T_{mathrm {max}})$ , lowest power output ( $T_{mathrm {min}})$ , and overall torque ( $T_{mathrm {avg}})$ . The superior motor among various materials unified PMSM by its ripple and field characteristics. The outcomings of the modeled motor are validated with numerical equations.
{"title":"Impacts of Laminating Core Materials on Permanent Magnet Synchronous Motor by Newton–Raphson Methodc","authors":"Prabhu Sundaramoorthy;Arun Vijayakumar;Kuppapillai Rajkumar;Jamuna Ponnusamy;Gokul Chandrasekaran;Vijayakumar Madhaiyan","doi":"10.1109/ICJECE.2024.3370973","DOIUrl":"https://doi.org/10.1109/ICJECE.2024.3370973","url":null,"abstract":"The permanent magnet synchronous motor (PMSM) has a more efficiency, high torque density, and high power density, but it suffers from torque ripple. This article describes the electromagnetic (EM) behavior of M19 29Ga material assists PMSM for 310 V, 5 A, and 1500 r/min. In addition, various materials as Losil 34050, Arnon 5, 50M290, M19 USS Transformer 72–29 gauge, and TR80 USS Transformer 80–29 gauge incorporated PMSM and which material has superiority, and with the superiority kept constant, changed the various magnet materials. The EEC 26-T350, MQP-14–12 835995, N45M, Recoma 22, Samarium Cobalt 20/30, Vacodym 890TP, and Vacomax 240 incorporated PMSM also investigated for EM finite-element analysis. The results of this study of the variable as torque ripple forecast the highest torque (\u0000<inline-formula> <tex-math>$T_{mathrm {max}})$ </tex-math></inline-formula>\u0000, lowest power output (\u0000<inline-formula> <tex-math>$T_{mathrm {min}})$ </tex-math></inline-formula>\u0000, and overall torque (\u0000<inline-formula> <tex-math>$T_{mathrm {avg}})$ </tex-math></inline-formula>\u0000. The superior motor among various materials unified PMSM by its ripple and field characteristics. The outcomings of the modeled motor are validated with numerical equations.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"47 2","pages":"105-110"},"PeriodicalIF":0.0,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140948906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Armored fighting vehicles (AFVs) of the future will be equipped with electrical drives and many electronic systems, such as computers, sensors, displays, actuators, and other sensitive electronics. Electric drive systems have the potential to substantially increase the efficiency of combat vehicles. The demand for electrical power in AFV has grown beyond the limits of that can be managed by the existing 28-V dc system. There is a necessity to switch from the single electrical bus configuration to a dual bus voltage configuration. This article describes the design procedure of a novel permanent magnet (PM) dual voltage generator for simultaneously providing power at two different voltages. Test results are presented and discussed.
未来的装甲战车（AFV）将配备电力驱动和许多电子系统，如计算机、传感器、显示器、执行器和其他敏感电子设备。电力驱动系统具有大幅提高战车效率的潜力。战车对电力需求的增长已经超出了现有 28 V 直流系统所能满足的极限。因此，有必要将单电气总线配置转换为双总线电压配置。本文介绍了一种新型永磁（PM）双电压发电机的设计过程，该发电机可同时提供两种不同电压的电力。文章还介绍并讨论了测试结果。
{"title":"Design of Novel Single-Frame Dual-Voltage (28-/270-V DC) Permanent Magnet Generator","authors":"Jaishankar Chinnachamy;Hosimin Thilagar Srinivasan","doi":"10.1109/ICJECE.2024.3370589","DOIUrl":"https://doi.org/10.1109/ICJECE.2024.3370589","url":null,"abstract":"Armored fighting vehicles (AFVs) of the future will be equipped with electrical drives and many electronic systems, such as computers, sensors, displays, actuators, and other sensitive electronics. Electric drive systems have the potential to substantially increase the efficiency of combat vehicles. The demand for electrical power in AFV has grown beyond the limits of that can be managed by the existing 28-V dc system. There is a necessity to switch from the single electrical bus configuration to a dual bus voltage configuration. This article describes the design procedure of a novel permanent magnet (PM) dual voltage generator for simultaneously providing power at two different voltages. Test results are presented and discussed.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"47 2","pages":"95-104"},"PeriodicalIF":0.0,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140948991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-19DOI: 10.1109/ICJECE.2024.3368454
Jiazheng Sheng;Siyi Guo;Hui Li;Shengnan Shen;Yikai Zhang;Yicang Huang;Bin Sun;Jian Wang
Convolutional neural networks (CNNs) have drawn huge interest in the field of surface defect classification. During the production of flexible printed circuit boards (FPCBs), only a limited number of images of surface defects can be obtained. FPCB surface defect datasets have small samples and severe imbalances, which can significantly affect defect classification accuracy. Hence, this article presented a lightweight visual geometry group (L-VGG), developed by modifying the classical VGG16 network structure. The L-VGG network was optimized using L2 regularization and sample weighting, which alleviated the over-fitting phenomenon caused by small samples and improved validation accuracy. In addition, the differences among the classification accuracies of different defect images caused by imbalanced datasets were significantly reduced. The training time of the proposed L-VGG network was equivalent to 83.84% and 91.94% compression of the traditional VGG16 and ResNet18 networks, respectively. The dataset augmentation with generated images further mitigates the overfitting phenomenon caused by the small sample problem to some extent, and finally achieves a validation accuracy of 94.20%.
{"title":"Visual Geometry Group Network for Flexible Printed Circuit Board Surface Defect Classification","authors":"Jiazheng Sheng;Siyi Guo;Hui Li;Shengnan Shen;Yikai Zhang;Yicang Huang;Bin Sun;Jian Wang","doi":"10.1109/ICJECE.2024.3368454","DOIUrl":"https://doi.org/10.1109/ICJECE.2024.3368454","url":null,"abstract":"Convolutional neural networks (CNNs) have drawn huge interest in the field of surface defect classification. During the production of flexible printed circuit boards (FPCBs), only a limited number of images of surface defects can be obtained. FPCB surface defect datasets have small samples and severe imbalances, which can significantly affect defect classification accuracy. Hence, this article presented a lightweight visual geometry group (L-VGG), developed by modifying the classical VGG16 network structure. The L-VGG network was optimized using L2 regularization and sample weighting, which alleviated the over-fitting phenomenon caused by small samples and improved validation accuracy. In addition, the differences among the classification accuracies of different defect images caused by imbalanced datasets were significantly reduced. The training time of the proposed L-VGG network was equivalent to 83.84% and 91.94% compression of the traditional VGG16 and ResNet18 networks, respectively. The dataset augmentation with generated images further mitigates the overfitting phenomenon caused by the small sample problem to some extent, and finally achieves a validation accuracy of 94.20%.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"47 2","pages":"70-77"},"PeriodicalIF":0.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140651108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-19DOI: 10.1109/ICJECE.2024.3380062
Tianchi Tong;Yuwei Yan;Yuan Xia
The traditional methods of improving the resilience of the distribution network have certain limitations, while the integrated energy system makes the grid tightly coupled with other energy systems, providing a new way to improve the resilience of the distribution network. Aiming at the problem of large-scale power outages caused by frequent extreme weather events in recent years, this article proposes a fault recovery strategy for multienergy distribution systems considering enhanced resilience. For the first time, this article considers the load conversion of multienergy forms on the demand side in the process of distribution network restoration. During the period from the occurrence of multiline faults in the distribution network to the fault repaired, this article adopts reconstruction and island division, and cooperates with the multienergy form load conversion on the demand side to reduce the loss of electrical loads. In this article, the calculation example of the modified 69 bus system shows the method adopted in this article reduces the load loss rate by about 30% compared with the traditional scheme, which verifies that load conversion of multienergy forms on the demand side can effectively alleviate the problem of insufficient energy supply when the traditional distributed generation (DG) is used to construct island.
{"title":"Fault Restoration Strategy for Multienergy Distribution Systems With Consideration of Resilience Enhancement","authors":"Tianchi Tong;Yuwei Yan;Yuan Xia","doi":"10.1109/ICJECE.2024.3380062","DOIUrl":"https://doi.org/10.1109/ICJECE.2024.3380062","url":null,"abstract":"The traditional methods of improving the resilience of the distribution network have certain limitations, while the integrated energy system makes the grid tightly coupled with other energy systems, providing a new way to improve the resilience of the distribution network. Aiming at the problem of large-scale power outages caused by frequent extreme weather events in recent years, this article proposes a fault recovery strategy for multienergy distribution systems considering enhanced resilience. For the first time, this article considers the load conversion of multienergy forms on the demand side in the process of distribution network restoration. During the period from the occurrence of multiline faults in the distribution network to the fault repaired, this article adopts reconstruction and island division, and cooperates with the multienergy form load conversion on the demand side to reduce the loss of electrical loads. In this article, the calculation example of the modified 69 bus system shows the method adopted in this article reduces the load loss rate by about 30% compared with the traditional scheme, which verifies that load conversion of multienergy forms on the demand side can effectively alleviate the problem of insufficient energy supply when the traditional distributed generation (DG) is used to construct island.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"47 2","pages":"87-94"},"PeriodicalIF":0.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140651127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-10DOI: 10.1109/ICJECE.2024.3351152
Bashar Abbas Fadheel;Noor Izzri Abdul Wahab;Ali Jafer Mahdi;Mohd Amran Bin Mohd Radzi;Azura Binti Che Soh;Hussein Mohammed Ridha;Veerapandiyan Veerasamy
The integration of renewable energy sources in modern microgrid power systems has a significant impact on frequency stability due to reducing inertia and damping coefficient. This article employs a virtual inertia control (VIC) based on frequency deviation derivatives to emulate the system inertia and damping coefficient characteristics of traditional synchronous generators. Coordination between the global controller (load frequency control) and the VIC is implemented. The parameters of both the secondary and virtual control are tuned using a novel hybrid sparrow search algorithm with mountain gazelle optimizer algorithm. The simulation results demonstrate a substantial improvement in mitigating the low inertia of the power system when exposed to consecutive rapid load changes, utilizing the suggested algorithm on comparing with the hybrid sparrow search algorithm based on grey wolf optimizer.
{"title":"Optimal Tuning of Virtual Inertia Control for Frequency Regulation of Microgrid","authors":"Bashar Abbas Fadheel;Noor Izzri Abdul Wahab;Ali Jafer Mahdi;Mohd Amran Bin Mohd Radzi;Azura Binti Che Soh;Hussein Mohammed Ridha;Veerapandiyan Veerasamy","doi":"10.1109/ICJECE.2024.3351152","DOIUrl":"https://doi.org/10.1109/ICJECE.2024.3351152","url":null,"abstract":"The integration of renewable energy sources in modern microgrid power systems has a significant impact on frequency stability due to reducing inertia and damping coefficient. This article employs a virtual inertia control (VIC) based on frequency deviation derivatives to emulate the system inertia and damping coefficient characteristics of traditional synchronous generators. Coordination between the global controller (load frequency control) and the VIC is implemented. The parameters of both the secondary and virtual control are tuned using a novel hybrid sparrow search algorithm with mountain gazelle optimizer algorithm. The simulation results demonstrate a substantial improvement in mitigating the low inertia of the power system when exposed to consecutive rapid load changes, utilizing the suggested algorithm on comparing with the hybrid sparrow search algorithm based on grey wolf optimizer.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"47 2","pages":"60-69"},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140651132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-08DOI: 10.1109/ICJECE.2024.3374951
Jingjing Yang;Mengling Li;Shumin Ran;Jason Gu
The nonlinear parity-time-symmetric wireless power transfer (PT-WPT) system has garnered significant attention for its robustness against variations in the coupling coefficient. Currently, the implementation of nonlinear negative resistance primarily relies on switch-mode converters. Among these, the conventional PT-WPT system based on self-excited converters faces challenges such as limited output power and overall system efficiency (OSE). In this article, we propose a novel dual-supply self-excited PT-WPT system designed to address these challenges, offering a cost-effective solution. We present the circuit, coupled-mode model, and PT-symmetric condition of the proposed system. Furthermore, stability criteria of the system at each equilibrium point are analyzed using Lyapunov’s first method. Finally, we implement a single-supply system to validate the correctness of the models and stability criteria. In addition, a dual-supply system is constructed, achieving an output power of 101.2 W with OSE of 89.2%.
{"title":"Parity-Time-Symmetric Wireless Power Transfer System Based on Self-Excited Converter","authors":"Jingjing Yang;Mengling Li;Shumin Ran;Jason Gu","doi":"10.1109/ICJECE.2024.3374951","DOIUrl":"https://doi.org/10.1109/ICJECE.2024.3374951","url":null,"abstract":"The nonlinear parity-time-symmetric wireless power transfer (PT-WPT) system has garnered significant attention for its robustness against variations in the coupling coefficient. Currently, the implementation of nonlinear negative resistance primarily relies on switch-mode converters. Among these, the conventional PT-WPT system based on self-excited converters faces challenges such as limited output power and overall system efficiency (OSE). In this article, we propose a novel dual-supply self-excited PT-WPT system designed to address these challenges, offering a cost-effective solution. We present the circuit, coupled-mode model, and PT-symmetric condition of the proposed system. Furthermore, stability criteria of the system at each equilibrium point are analyzed using Lyapunov’s first method. Finally, we implement a single-supply system to validate the correctness of the models and stability criteria. In addition, a dual-supply system is constructed, achieving an output power of 101.2 W with OSE of 89.2%.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"47 2","pages":"78-86"},"PeriodicalIF":0.0,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140651131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-22DOI: 10.1109/ICJECE.2024.3392875
Ahmet Öncü;Ahmet Günhan Aydın;Artun Akdoğan
This article introduces a comprehensive Mode-S radar simulation, designed to evaluate interrogation and reply signal functionality in various uplink formats (UFs) and downlink formats (DFs). Mode-S radar, crucial in modern aviation, facilitates communication between aircraft and ground systems, thereby enhancing aircraft tracking, situational awareness, and air traffic safety. Our simulation focuses on optimizing interrogation and reply sequences in the 1030- and 1090-MHz channels, respectively. It provides a practical solution for testing complex air flight scenarios, which may be impractical or costly in real life, by replicating challenging conditions in a computerized environment. This approach aids in developing advanced radar signaling algorithms for air traffic control. The simulator’s user-friendly interface displays real-time aircraft data, demonstrating its realworld applicability. Its successful operation underscores its potential to advance Mode-S radar technology and its value for research in the field.
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