IEEE Transactions on Industry Applications最新文献_第2页

Dynamic Performance Evaluation of Third-Order SMC-Based Variable-Speed PHES in Single-Phase Grid-Connected Hybrid Renewable Energy Systems 单相并网混合可再生能源系统中基于smc的三阶变速PHES动态性能评价

IF 5.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2026-09-01 Epub Date: 2026-01-19 DOI: 10.1109/TIA.2026.3655663

Edapha Rhema Jones Chullai;Priyankar Roy;Haricharan Nannam;Rakesh Roy;A Bandopadhyay

{"title":"Dynamic Performance Evaluation of Third-Order SMC-Based Variable-Speed PHES in Single-Phase Grid-Connected Hybrid Renewable Energy Systems","authors":"Edapha Rhema Jones Chullai;Priyankar Roy;Haricharan Nannam;Rakesh Roy;A Bandopadhyay","doi":"10.1109/TIA.2026.3655663","DOIUrl":"https://doi.org/10.1109/TIA.2026.3655663","url":null,"abstract":"Renewable energy systems, such as wind and solar, are intermittent, necessitating energy storage systems with efficient controllers to improve performance. This work introduces a novel control technique to a 3-level neutral point clamped (3L-NPC) converter-based brushless direct current (BLDC) machine on a variable-speed pump hydro energy storage (PHES) system, which is connected to a grid-tied hybrid solar-wind energy network. A third-order sliding mode control (TOSMC)-based field-oriented control scheme is employed on both the outer and inner loops to control the 3L-NPC-powered BLDC machine prototype, ensuring an efficient control mechanism and an integrated bidirectional power flow. Also, the TOSMC-based voltage-oriented control scheme is employed to manage the single-phase grid converter. Furthermore, maximum power is extracted from the wind energy conversion system, solar photovoltaic array, and PHES system. To evaluate the dynamic performance of the variable-speed PHES system, a rigorous study based on wind speed, solar irradiation, and load variation is performed to observe the effectiveness in motoring, generating, and stopping modes of the PHES. Moreover, the proposed controller is compared with the traditional field-oriented proportional-integral control and second-order sliding mode control on a 3L-NPC-connected BLDC machine. The performance of the BLDC-based PHES system with a 3L-NPC converter is examined in MATLAB/Simulink and validated with a laboratory prototype, demonstrating its potential as a scalable solution for hybrid renewable integration in microgrids.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"62 5","pages":"7590-7600"},"PeriodicalIF":5.2,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149011353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Adequacy Assessment of a Distribution Network Embedded With Green Hydrogen Systems 嵌入绿色氢系统的配电网充分性评估

IF 5.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2026-09-01 Epub Date: 2026-06-02 DOI: 10.1109/TIA.2026.3696232

Lei Xiao;Kashem M. Muttaqi;Ashish P. Agalgaonkar

引用次数: 0

Regional Distributed Photovoltaic Power Forecasting Method Based on Two-Stage Clustering and Hierarchical Graph Network Modeling 基于两阶段聚类和层次图网络建模的区域分布式光伏发电功率预测方法

IF 5.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2026-09-01 Epub Date: 2026-02-03 DOI: 10.1109/TIA.2026.3660788

Zinuo Su;Zhao Zhen;Fei Wang;Fei Xu;Xizai Yang;Yu Zhu;Le Yang

{"title":"Regional Distributed Photovoltaic Power Forecasting Method Based on Two-Stage Clustering and Hierarchical Graph Network Modeling","authors":"Zinuo Su;Zhao Zhen;Fei Wang;Fei Xu;Xizai Yang;Yu Zhu;Le Yang","doi":"10.1109/TIA.2026.3660788","DOIUrl":"https://doi.org/10.1109/TIA.2026.3660788","url":null,"abstract":"Accurate regional distributed Photovoltaic (PV) power forecasting provides data support for power grid management and optimal operation. Existing graph structures are unable to effectively mine spatio-temporal correlation information or lose a lot of valid information in the modeling process. For this reason, this paper proposes an ultra-short-term regional distributed PV power forecasting method based on two-stage clustering and Hierarchical Graph Convolutional Neural network. First, a two-stage clustering method is used to optimize the clustering results on the basis of the existing K-means clustering method to maximize the use of PV power data to mine the deep similarity between PV power stations; then, based on the optimal clustering results, sub-graph and global graph are constructed by taking into account the hierarchical structure of distributed PV systems; finally, a Hierarchical Graph Convolutional Neural network forecasting model is constructed to further mine deep spatio-temporal correlation between PV power stations to achieve ultra-short-term regional distributed PV power forecasting. The superiority of the proposed method is verified by a real dataset in China.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"62 5","pages":"7819-7829"},"PeriodicalIF":5.2,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149011371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 Corona and Surface Discharge Signals from Different Non-Intrusive Sensors under HVDC 高压直流条件下不同非侵入式传感器电晕和表面放电信号分析

IF 5.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2026-09-01 Epub Date: 2026-02-06 DOI: 10.1109/TIA.2026.3661962

Ayyoub Zouaghi;Florent Coutanson;Matthieu Dalstein;Sneha Satish Hegde;Guy Clerc;Christian Vollaire

{"title":"Analysis of Corona and Surface Discharge Signals from Different Non-Intrusive Sensors under HVDC","authors":"Ayyoub Zouaghi;Florent Coutanson;Matthieu Dalstein;Sneha Satish Hegde;Guy Clerc;Christian Vollaire","doi":"10.1109/TIA.2026.3661962","DOIUrl":"https://doi.org/10.1109/TIA.2026.3661962","url":null,"abstract":"The use of high voltage direct current (HVDC) transmission technology has increased significantly in recent years due to its numerous advantages over traditional alternating current (AC) transmission. The aim of the present work is to investigate the efficiency of different non-intrusive sensors for partial discharge measurement in medium or high voltage direct current equipment such as air or gas insulated switchgear. In HVAC systems, partial discharge detection and quantification are well understood. However, under HVDC, it is a necessary to evaluate the efficiency of classic techniques and commercial non-intrusive sensors. This work presents a study of three different sensors for partial discharge measurement under HVDC: high frequency current transformer (HFCT), ultra-high frequency antenna (UHF), and transient earth voltage (TEV). The signals of the different sensors for corona and surface discharge detection are presented and compared in both temporal and frequency domains. The Pulse Sequence Analysis (PSA) technique is used for apparent charge and repetition rate study and the effect of the discharge type on the PSA patterns is investigated. The results show that the PSA patterns are sensitive to the discharge type and conditions. The increase of the applied voltage of corona leads to the increase of the apparent charge differences and the time duration between successive pulses. The spectrums of the discharge pulses of the three sensors are different and the maxima of the TEV and UHF PD signals are dependent on the apparent charge.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"62 5","pages":"8261-8268"},"PeriodicalIF":5.2,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149011376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Net Zero Emissions and Positive Energy Districts: A Potential Solution to Achieve the European Climate Targets 净零排放和正能量区：实现欧洲气候目标的潜在解决方案

IF 5.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2026-09-01 Epub Date: 2026-02-06 DOI: 10.1109/TIA.2026.3661957

Jacopo Famiglietti;Giorgio Villa;Michela Romagnosi;Alice Dénarié;Rossano Scoccia;Marcello Aprile;Mario Motta

引用次数: 0

Pipeline-Oriented Energy Harvester with Axial-Flux PCB Generator and Asymmetric Bridgeless Circuit 带有轴向磁通PCB发生器和非对称无桥电路的管道能量采集器

IF 5.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2026-09-01 Epub Date: 2026-01-19 DOI: 10.1109/TIA.2026.3655620

Zhengge Chen;Jianping Xu;Jiheng Cai;Yuxin Liu;Bowen Zhang;Tianci Wang

{"title":"Pipeline-Oriented Energy Harvester with Axial-Flux PCB Generator and Asymmetric Bridgeless Circuit","authors":"Zhengge Chen;Jianping Xu;Jiheng Cai;Yuxin Liu;Bowen Zhang;Tianci Wang","doi":"10.1109/TIA.2026.3655620","DOIUrl":"https://doi.org/10.1109/TIA.2026.3655620","url":null,"abstract":"Pipelines, as important fluid transportation vessels, are extensively used in our modern society. Although numerous nano energy harvesters (EHs) have been reported in recent decades, few focus on developing the pipeline-oriented nanogenerator. This study proposes a mini turbine-based axial-flux permanent-magnet (AFPM) PCB nanogenerator with a bridgeless rectifier for pipeline energy harvesting. Firstly, an AFPM PCB generator with a winding PCB stator is proposed with a compact design to transfer the hydraulic energy to electricity. A designed mini Kaplan turbine blade is used to drive the AFPM PCB nanogenerator. Secondly, an asymmetrical bridgeless AC-DC converter as an interface circuit is proposed without the conventional diode bridge to achieve relatively high power conversion efficiency. Simulations of the PCB nanogenerator and bridgeless converter are conducted by different software to check and optimize relevant designs. Test results indicate that the proposed nanogenerator can steadily output 3.4 W power (power density 4 mW/cm<sup>3</sup>) and the overall designed EH system can deliver 87 mW of stable output power with its turbine blade driven by a 1.2 m height water reservoir.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"62 5","pages":"7043-7054"},"PeriodicalIF":5.2,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149033487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

IEEE Women in Engineering IEEE工程女性

IF 5.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2026-09-01 Epub Date: 2026-09-21 DOI: 10.1109/TIA.2026.3714254

引用次数: 0

Online Diffusion Monitoring for Optimized Charge Control in Lithium-Ion Batteries 锂离子电池优化充电控制的在线扩散监测

IF 5.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2026-09-01 Epub Date: 2026-01-19 DOI: 10.1109/TIA.2026.3655648

Roberta Di Fonso;Francesco Simonetti;Remus Teodorescu;Pallavi Bharadwaj

{"title":"Online Diffusion Monitoring for Optimized Charge Control in Lithium-Ion Batteries","authors":"Roberta Di Fonso;Francesco Simonetti;Remus Teodorescu;Pallavi Bharadwaj","doi":"10.1109/TIA.2026.3655648","DOIUrl":"https://doi.org/10.1109/TIA.2026.3655648","url":null,"abstract":"Lithium-ion batteries are complex nonlinear electrochemical systems that deliver power to an ever growing list of devices, from smartphones to vehicles. The required performance and useful lifetime heavily depend on internal ion diffusion mechanisms. Expensive and time-consuming experiments are typically used to estimate diffusion coefficients. After presenting the traditional GITT and EIS methods for estimating diffusion coefficients, this work proposes an alternative way based on signal processing. Specifically, we apply the Continuous Wavelet Transform (CWT) to pulsed current and voltage discharge to extract the diffusion-related resistance, which is inversely proportional to the diffusion coefficient. The method is applied to a publicly available dataset of commercial lithium-ion cells aged under different cycling conditions. The results confirm that the extracted values capture the trends in lithium-ion transport. This alternative approach enables a practical pathway toward real-time diffusion monitoring, with potential application to adaptive charging strategies and to onboard battery management systems.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"62 5","pages":"7651-7660"},"PeriodicalIF":5.2,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149011132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Design and Analysis of an Actuator With High Power Density Permanent Magnet Motor for Bipedal Robots 双足机器人高功率密度永磁电机作动器设计与分析

IF 5.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2026-09-01 Epub Date: 2026-01-21 DOI: 10.1109/TIA.2026.3656147

Tianran He;Xiaokun Leng;Yangyu Sun;Yucong Wu

{"title":"Design and Analysis of an Actuator With High Power Density Permanent Magnet Motor for Bipedal Robots","authors":"Tianran He;Xiaokun Leng;Yangyu Sun;Yucong Wu","doi":"10.1109/TIA.2026.3656147","DOIUrl":"https://doi.org/10.1109/TIA.2026.3656147","url":null,"abstract":"Bipedal robots have recently attracted considerable research interest owing to their capability to navigate diverse paths and terrains, as well as to step or jump over obstacles. In pursuit of these functionalities, electric rotary actuators are increasingly being adopted in place of hydraulic systems, benefiting from advantages such as lower cost, reduced weight, and modular construction. This paper presents the design of an outer rotor permanent magnet (ORPM) motor tailored for knee joint actuation. Initially, based on the operational requirements of the knee actuator during running, the motor topology is developed. This process involves selecting a slot–pole combination based on a 36-slot framework, optimizing parameters to maximize output torque by considering the stator iron loss and current density, and undertaking a mechanical design focused on achieving a compact and lightweight structure. Analysis reveals that, the 36-slot/42-pole configuration delivers the highest torque, the lowest torque ripple, and relatively high efficiency, rendering it a suitable candidate for joint actuator applications. The electromagnetic, thermal, and mechanical performances of the optimized 36-slot/42-pole ORPM motor under varying load conditions is evaluated using the finite element method. A prototype of the proposed actuator was tested on a high-torque test bench, with temperatures of the windings and housing wall monitored across different load and speed profiles. Experimental results demonstrate that the actuator can sustain an overload of three times the rated torque—specifically, 96 Nm—for more than 20 seconds, enduring this condition for 24 seconds.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"62 5","pages":"7088-7098"},"PeriodicalIF":5.2,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149011133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Detection and Classification of Faults in PV Systems Using Generative Adversarial Network 基于生成对抗网络的光伏系统故障检测与分类

IF 5.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2026-09-01 Epub Date: 2026-03-18 DOI: 10.1109/TIA.2026.3675213

P. Banerjee;M. M. Rahman;J. Adan;A. K. Srivastava

{"title":"Detection and Classification of Faults in PV Systems Using Generative Adversarial Network","authors":"P. Banerjee;M. M. Rahman;J. Adan;A. K. Srivastava","doi":"10.1109/TIA.2026.3675213","DOIUrl":"https://doi.org/10.1109/TIA.2026.3675213","url":null,"abstract":"The availability of advanced sensors and computing enables early detection of faults and failures in large-scale solar photovoltaic (PV) systems. However, small variations in current and voltage caused by arcing or other faults/failures are often difficult to detect, potentially leading to a permanent reduction in power output and can potentially cause safety hazard. This work develops novel algorithm for detection and classification of DC arc and AC faults using Conditional Generative Adversarial Networks (CGANs). Three distinct CGAN architectures are developed: two for DC arc fault detection and classification, and another for AC faults. The CGAN networks generate output signals representing probability distributions based on voltage and current measurements at the inverter location of the PV system. The performance of the proposed CGAN architectures is evaluated using rolling precision scores on backcasted datasets and compared against a k-Nearest Neighbors (kNN) model, and also validated using real field data. Results show that the proposed architectures achieve high precision in detecting and classifying both types of faults in a 1 MW solar PV system modeled in a real-time simulator.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"62 5","pages":"8308-8318"},"PeriodicalIF":5.2,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149011196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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