IEEE Transactions on Industry Applications最新文献_第5页

Analysis and Multi-Objective Optimization of the Hybrid Excitation Switched Flux Machine 混合励磁开关磁通机的分析与多目标优化

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-21 DOI: 10.1109/TIA.2025.3532244

Wentao Zhang;Zhongze Wu;Lai Jin;Ying Fan;Wei Hua;Ming Cheng

{"title":"Analysis and Multi-Objective Optimization of the Hybrid Excitation Switched Flux Machine","authors":"Wentao Zhang;Zhongze Wu;Lai Jin;Ying Fan;Wei Hua;Ming Cheng","doi":"10.1109/TIA.2025.3532244","DOIUrl":"https://doi.org/10.1109/TIA.2025.3532244","url":null,"abstract":"In this paper, a model-based multi-objective optimization method is proposed for the hybrid excitation switched flux (HESF) machine. In the proposed method, the index space distribution including torque index and flux index, which are highly related with the average torque and flux regulation capability, can be fast obtained by a simple magnetic circuit model, and then only these pareto front designs of the index space are calculated by finite element (FE). Hence, compared with the conventional pure FE-based multi-objective optimization, the optimization time of the proposed model-based multi-objective optimization is much smaller, e.g., 67 hours to 2.3 hours for the studied 12-slot/10-pole HESF machine on a desktop with 64 GB RAM and Intel Core i9-10900F CPU. In addition, in the high dimensional optimization the pure FE based optimization will easily crowd and stuck around many local optimum points due to flux-leakage and local magnetic saturation, whilst the proposed model-based optimization captures the main magnetic path characteristics, which can efficiently find better designs in a reasonable time. In this paper, the pareto front obtained from the proposed model-based optimization method contains better designs than that of the pure FE-based optimization method. A machine prototype is built and tested to validate the proposed model-based multi-objective optimization method in this paper.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"2996-3006"},"PeriodicalIF":4.2,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143777724","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

An IGBT Device Health Status Assessment Method Based on Characteristics Identification 基于特征识别的IGBT设备健康状态评估方法

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-21 DOI: 10.1109/TIA.2025.3532419

Zeyu Duan;Ran Yao;Wei Lai;Hui Li;Cheng Yang;Yuan Min;Yannan Yuan;Wenxing Han

引用次数: 0

Wavelet Packet Decomposition Based Detection and Classification of Stator Winding Insulation Degradation for Electric Machines 基于小波包分解的电机定子绕组绝缘退化检测与分类

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-21 DOI: 10.1109/TIA.2025.3532586

Ashutosh Patel;Chunyan Lai;K. Lakshmi Varaha Iyer

{"title":"Wavelet Packet Decomposition Based Detection and Classification of Stator Winding Insulation Degradation for Electric Machines","authors":"Ashutosh Patel;Chunyan Lai;K. Lakshmi Varaha Iyer","doi":"10.1109/TIA.2025.3532586","DOIUrl":"https://doi.org/10.1109/TIA.2025.3532586","url":null,"abstract":"For electric motors, monitoring the condition of winding insulation becomes necessary to ensure a safe and reliable operation, which can help in the prevention of faults like short-circuit. In this paper, a novel insulation condition monitoring technique has been proposed, which employs wavelet packet decomposition (WPD) to analyze high frequency (HF) line current and extract indicators for monitoring the state of health (SOH). Compared with existing methods, the proposed technique can provide the SOH indicators of turn-to-turn (TT) and groundwall (GW) insulation simultaneously through the analysis of line current. Moreover, antiresonance oscillations in the HF line current are also explored to determine insulation SOH, which contributes to a unique capability in classifying types of degradation. The procedures for insulation degradation detection and classification are summarized in a flowchart for simple implementation. To validate the proposed method, extensive simulation and experimental tests have been conducted. The proposed method demonstrates robust performance, ability to detect even a small amount of degradation and possesses a unique capability to classify and quantify different types of degradation.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"3037-3050"},"PeriodicalIF":4.2,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143777727","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

Asymmetric PM Eddy Current Loss and Temperature Distributions of SPMSMs 永磁同步电动机的非对称涡流损耗和温度分布

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-21 DOI: 10.1109/TIA.2025.3532582

Yinzhao Zheng;Dawei Liang;Z. Q. Zhu;Jun Yan;Yanjian Zhou;Hailong Liu;Hai Xu

{"title":"Asymmetric PM Eddy Current Loss and Temperature Distributions of SPMSMs","authors":"Yinzhao Zheng;Dawei Liang;Z. Q. Zhu;Jun Yan;Yanjian Zhou;Hailong Liu;Hai Xu","doi":"10.1109/TIA.2025.3532582","DOIUrl":"https://doi.org/10.1109/TIA.2025.3532582","url":null,"abstract":"This paper investigates the mechanism of asymmetric permanent magnet (PM) eddy current loss and temperature distributions of surface-mounted PM synchronous machines (SPMSMs) with different slot/pole number combinations for the first time. A finite element analysis (FEA) based harmonic restoration method is utilized to evaluate and quantify contributions of individual armature reaction spatial harmonics to PM eddy current loss and temperature distributions for 12-slot SPMSMs with different pole numbers. It shows that there is one dominant armature reaction spatial harmonic contributing to the majority of PM loss for each SPMSM with different slot/pole number combinations. The average PM loss distribution is symmetrical to the center line in circumferential direction with armature reaction or PM magnetic field only, while the interaction between the armature reaction and PM field causes the asymmetric PM loss distribution. Besides, the maximum loss density in one PM pole tends to move from the circumferential center to the edge when the rotor pole number increases. Consequently, the resultant PM local hotspot temperature has been calculated through 3-D thermal finite element method, which shows the same trend as loss density distribution. Finally, two prototypes are manufactured, and the corresponding electromagnetic and thermal tests are carried out to verify the validity of the FEA simulation.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"3026-3036"},"PeriodicalIF":4.2,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143777902","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

Decentralized Model Predictive Control for Offshore Wind-Powered Seaport DC Microgrids With Electric Vehicle Stations 带有电动汽车站的海上风力海港直流微电网的分散模型预测控制

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-21 DOI: 10.1109/TIA.2025.3532585

Muhammad Sadiq;Chun-Lien Su;Zulfiqar Ali;Seyed Hossein Rouhani;Milan Straka;Lubos Buzna;Alexander Micallef;Giuseppe Parise

{"title":"Decentralized Model Predictive Control for Offshore Wind-Powered Seaport DC Microgrids With Electric Vehicle Stations","authors":"Muhammad Sadiq;Chun-Lien Su;Zulfiqar Ali;Seyed Hossein Rouhani;Milan Straka;Lubos Buzna;Alexander Micallef;Giuseppe Parise","doi":"10.1109/TIA.2025.3532585","DOIUrl":"https://doi.org/10.1109/TIA.2025.3532585","url":null,"abstract":"The rapid adoption of electric vehicles (EVs) has catalyzed the urgency of a resilient and sustainable charging infrastructure. This study addresses this issue by harnessing offshore wind energy resources to meet the charging demands, particularly in remote coastal regions. The primary challenge tackled in this research involves the complex management of power flow dynamics due to the inherent variability of wind energy and the stochastic nature of EV charging demands, modeled using probabilistic distributions to represent varying arrival times, charging durations, and power requirements of EVs. This work introduces a pioneering framework centered on the development of a wind-powered electric vehicle charging system (EVCS) that utilizes a medium-voltage direct current (MVDC) bus. An enhanced decentralized model predictive control (MPC) strategy was employed that distinguishes itself from conventional control paradigms due to its heightened adaptability and proficient management of the dynamic interactions among wind energy generation, energy storage systems (ESS), EV charging demands, and grid interactions. Rigorous simulations and real-time hardware-in-loop studies underscore the efficacy of the MPC strategy in preserving the voltage stability within the MVDC bus while optimizing the power flow, thereby minimizing energy losses and ensuring grid resilience. These results validate the viability of the proposed wind energy-integrated EVCS as an integral component of seaport grid infrastructure.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"2258-2270"},"PeriodicalIF":4.2,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143777725","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

A Novel Stochastic Volt/VAR/Pressure Optimization-Based Conservation Voltage Reduction Technique in Integrated Electricity and Natural Gas Systems With PV Smart Inverters 基于随机电压/VAR/压力优化的新型节电降压技术--基于光伏智能逆变器的电力和天然气综合系统

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-21 DOI: 10.1109/TIA.2025.3532570

Shahab Karamdel;Xiaodong Liang;Sherif O. Faried

{"title":"A Novel Stochastic Volt/VAR/Pressure Optimization-Based Conservation Voltage Reduction Technique in Integrated Electricity and Natural Gas Systems With PV Smart Inverters","authors":"Shahab Karamdel;Xiaodong Liang;Sherif O. Faried","doi":"10.1109/TIA.2025.3532570","DOIUrl":"https://doi.org/10.1109/TIA.2025.3532570","url":null,"abstract":"This paper proposes a novel two-stage stochastic Conservation Voltage Reduction (CVR) technique in integrated electricity and natural gas systems, where the mixed-integer second-order cone programming (MISOCP) model is used to coordinate legacy voltage regulation devices (on-load tap changers (OLTCs) and capacitor banks (CBs)) with photovoltaics (PV) smart inverters. In the first stage, optimal hourly day-ahead settings of OLTCs and CBs, and the base reactive power settings of smart inverters are determined. After considering uncertainties in the forecasted load and PV power generation, reactive power adjustments from smart inverters through droop control are determined in the second stage. A two-step algorithm is also proposed to improve the solving speed of the stochastic problem. The proposed stochastic CVR technique is validated using the modified IEEE 33-bus electricity and 7-node natural gas test system, IEEE 123-bus electricity and 20-node natural gas test system, and a large unbalanced 404-node distribution system currently operated by Saskatoon Light and Power in Saskatoon, Canada, integrated with a 20-node natural gas network.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"2271-2286"},"PeriodicalIF":4.2,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143777822","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

Frequency-Constrained Dispatching for an Integrated Electricity-Heat Microgrid With Synergic Regulation Resources 具有协同调节资源的电-热集成微电网的频率约束调度

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-21 DOI: 10.1109/TIA.2025.3532233

Hui Li;Hongcai Zhang;Dundun Liu;Ji Zhang;Chi-Kong Wong

{"title":"Frequency-Constrained Dispatching for an Integrated Electricity-Heat Microgrid With Synergic Regulation Resources","authors":"Hui Li;Hongcai Zhang;Dundun Liu;Ji Zhang;Chi-Kong Wong","doi":"10.1109/TIA.2025.3532233","DOIUrl":"https://doi.org/10.1109/TIA.2025.3532233","url":null,"abstract":"Given the low-inertia nature of the power grid within the integrated electricity-heat microgrid (IEHM), it is vulnerable to frequency deviations caused by power disturbance. To address this challenge at the operational level, this paper proposes a frequency-constrained dispatching method for IEHMs. This method coordinates synergic resources with diverse dynamic features, including combined heat and power (CHP) unit, wind turbine, and battery energy storage system (BESS), to contribute to primary frequency regulation (PFR). Frequency security, both dynamic and static, is maintained through constraints that account for synergic PFR resources. We employ a distributionally robust (DR) joint chance constraint to manage the wind power uncertainty in IEHMs with a high penetration of wind energy. Based on the above modeling, we develop a frequency-constrained dispatching model for IEHMs. This model integrates the coupled energy sectors to balance the PFR reserves and energy supply while guaranteeing frequency security and minimizing the daily cost of IEHM. To tackle the nonconvex DR joint chance constraint, we adopt a big-M-free reformulation approach based on the Wasserstein-metric ambiguity set, which requires fewer predefined parameters and significantly enhances computational efficiency. Finally, extensive case studies on two test systems validate the effectiveness and scalability of the proposed method. Simulation results also highlight the impact of heat load on PFR in IEHMs.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"2203-2215"},"PeriodicalIF":4.2,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143777899","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

Power System Reliability Assessment Under Electric Vehicle and Photovoltaic Uncertainty 电动汽车和光伏不确定性下电力系统可靠性评估

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-21 DOI: 10.1109/TIA.2025.3532567

Jitendra Thapa;Joshua Olowolaju;Mohammed Benidris;Hanif Livani

{"title":"Power System Reliability Assessment Under Electric Vehicle and Photovoltaic Uncertainty","authors":"Jitendra Thapa;Joshua Olowolaju;Mohammed Benidris;Hanif Livani","doi":"10.1109/TIA.2025.3532567","DOIUrl":"https://doi.org/10.1109/TIA.2025.3532567","url":null,"abstract":"In recent years, the adoption of electric vehicles (EVs) and variable energy resources such as photovoltaic (PV) has increased with the desire to reduce reliance on fossil fuels, decrease emissions, and promote sustainable energy. However, the increasing adoption of EVs and PVs has introduced unprecedented challenges to the reliability of power systems. The challenge lies in the inherent intermittency associated with solar generation and the uncertainty introduced by the charging load of EVs on the demand side of power grids. Therefore, it is indispensable from the perspective of power system operation and planning to consider the uncertainties associated with the output power of these resources in the reliability assessment framework. This paper develops an electric vehicle load model considering diverse charging station locations, EV types, and drivers' behavior. Also, the proposed method integrates the uncertainty of PV generation through interval prediction utilizing the K-Nearest Neighbors regressor. A sequential Monte Carlo simulation is used to analyze the impact of PV interval (forecasted lower and upper generation profile), EV load (hourly and peak), line failures, and demographic characteristics associated with EV on power system reliability. The reliability assessment is extended to sensitivity analysis and evaluation of the impact of EV loads and PV generation profiles on the capacity value of PV generators with different capacities, utilizing the Discrete Convolution approach. The proposed approach is demonstrated on the IEEE Reliability Test System and the results show the effectiveness of the proposed approach in determining the reliability of the power system by explicitly accommodating PV uncertainties and the intricacies of EVs.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"2248-2257"},"PeriodicalIF":4.2,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143777909","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

Low-Frequency Electromagnetic Vibration of DTP-PMSM Considering Current Harmonics and Winding Operating Modes 考虑电流谐波和绕组运行模式的 DTP-PMSM 低频电磁振动

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-21 DOI: 10.1109/TIA.2025.3532401

Shihao Zhao;Jinhua Chen;Chi Zhang;Yunpeng Gao

引用次数: 0

Turn to Turn Short-Circuit Fault and High-Resistance Connection Diagnosis for Induction Motor During Start-Up Transient 感应电动机起动瞬态匝间短路故障及高阻连接诊断

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-21 DOI: 10.1109/TIA.2025.3532396

Manuel A. Mazzoletti;Guillermo R. Bossio;Pablo D. Donolo;Marcos Donolo

{"title":"Turn to Turn Short-Circuit Fault and High-Resistance Connection Diagnosis for Induction Motor During Start-Up Transient","authors":"Manuel A. Mazzoletti;Guillermo R. Bossio;Pablo D. Donolo;Marcos Donolo","doi":"10.1109/TIA.2025.3532396","DOIUrl":"https://doi.org/10.1109/TIA.2025.3532396","url":null,"abstract":"In this paper, a new method to diagnose turn-to-turn short-circuit faults (TSCFs) and high-resistance connections (HRCs) for soft-starters fed squirrel cage-rotor induction motors (IMs) is proposed. TSCF and HRC faults cause a significant temperature increase if not early detected. TSCFs requires immediate IM shutdown, whereas the effects of HRCs can be monitored over time. Several methods proposed in the literature are based on zero-sequence voltage or negative-sequence current for fault diagnosis. Most of them were applied for steady-state conditions and only consider sinusoidally distributed windings, without including harmonic components. The proposed method is based on monitoring the fifth harmonic current during the start-up transient to separate the effects of TSCFs and HRCs. Two new analytical models with fault considering the <italic>h</i>-th harmonic in the supply voltage are proposed. The first IM model incorporates the effects of a TSCF in any of the phase windings, while the second considers an HRC fault. Based on these analytical models, two indicators are proposed to quantify the severity of the faults. Both indicators are defined from the positive-sequence component of the stator current and allow decoupling the effects between the TSCFs and the HRCs. The practical implementation was carried out with a standard soft-starter, without modifying their control algorithm or internal structure. In the experimental tests, an IM with modified windings was used to generate short-circuits between 3 and 10 turns. On the other hand, the HRCs were generated by connecting resistors of different magnitudes in series with a phase winding. The experimental results demonstrated that the positive-sequence current component of the fifth harmonic exhibits different patterns in the presence of a TSCF or an HRC.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"1927-1935"},"PeriodicalIF":4.2,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143769436","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