Jialu He;Zi-Qiang Zhu;Han Yang;Lianghui Yang;Chaohui Liu
{"title":"Hybrid Voltage Vector Based Model Predictive Control With Flux-Weakening Function for Dual Three Phase PMSM Drives","authors":"Jialu He;Zi-Qiang Zhu;Han Yang;Lianghui Yang;Chaohui Liu","doi":"10.1109/TIA.2026.3675145","DOIUrl":"https://doi.org/10.1109/TIA.2026.3675145","url":null,"abstract":"Although the field-oriented control (FOC) with flux-weakening (FW) function has been investigated in dual-three-phase (DTP) PMSM drives, the research on model predictive control (MPC) with FW is few. In this paper, the MPC with FW and using hybrid voltage vector (VVs) is proposed. To avoid overmodulation when using FOCs with FW, a margin needs to be kept in the voltage constraint of FW or constraints needed to be applied on the z<sub>1</sub>z<sub>2</sub> voltage reference. In contrast, in the proposed hybrid MPC both the margin and the constraints are freed with sequential optimization, resulting in larger torque-speed operation range and lower current THD. In addition, hybrid VVs are used in the proposed MPC. Two long VVs are used for αβ regulation per control cycle, which increases the torque-speed operation range, while two z<sub>1</sub>z<sub>2</sub> virtual VVs are used for z<sub>1</sub>z<sub>2</sub> regulation, which ensures high z<sub>1</sub>z<sub>2</sub> harmonic suppression capability. The VVs are selected based on voltage reference estimation for light computation burden, while their duty ratios are calculated by the projected quadratic programming (QP) algorithm for the same reason. With the proposed hybrid MPC, wider torque-speed operation range and lower current distortion can be obtained, compared with the traditional MPC using virtual VVs and FOC with FW. Finally, experiments are conducted to verify the feasibility and advantages of the proposed method.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"62 5","pages":"7322-7338"},"PeriodicalIF":5.2,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149011349","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}
{"title":"Comprehensive Load Loss Model of an Ironless Machine: Advantages of Current Source Inverter Supply","authors":"Mattia Vogni;Giada Sala;Elena Macrelli;Claudio Bianchini;Alberto Bellini","doi":"10.1109/TIA.2026.3656127","DOIUrl":"https://doi.org/10.1109/TIA.2026.3656127","url":null,"abstract":"Accurate lossmodeling in electric machines is a critical enabler for design optimization. By providing more faithful estimates of thermal stress, loss models may also contribute to extended insulation and permanent-magnet lifetimes. Loss modeling has been widely investigated, and existing approaches can be broadly grouped into three classes: (i) analytical models; (ii) numerical finite-element (FEA) methods; and (iii) hybrid schemes that combine analytical formulations with numerical field solutions. Ironless (coreless) machines constitute a special case for AC loss prediction. In such topologies, iron-core losses are essentially absent, so winding AC losses tend to dominate, and magnet losses may become non-negligible under high-frequency excitation. AC losses of these machines, which are suitable for FESS applications, have been under-investigated in literature. This paper presents a comprehensive loss model for ironless machines that jointly treats winding and magnet losses and distinguishes between fundamental and carrier-frequency components for both coils and magnets. The framework is experimentally assessed on a prototype for a flywheel energy storage system (FESS) application. A current source inverter (CSI) supply appears to reduce AC losses and current ripple relative to a conventional voltage source inverter (VSI), suggesting potential efficiency and thermal advantages for ironless drives under comparable conditions.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"62 5","pages":"7099-7109"},"PeriodicalIF":5.2,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149011289","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}
Baolong Yang;Ming Yang;Qiangsheng Bu;Fei Wang;Fei Luo;Zhigang Ye
{"title":"A Lightweight Transfer Modeling Method for PV Power Forecasting in Large-Scale Transformer Areas Based on Spatiotemporal Feature Decoupling","authors":"Baolong Yang;Ming Yang;Qiangsheng Bu;Fei Wang;Fei Luo;Zhigang Ye","doi":"10.1109/TIA.2026.3661960","DOIUrl":"https://doi.org/10.1109/TIA.2026.3661960","url":null,"abstract":"The high-precision forecasting of photovoltaic (PV) power in distribution transformer areas (DTAs) is essential for accurately tracking the power distribution characteristics within distribution networks. Existing methods struggle to balance the dual demands of modeling cost and forecasting accuracy. To address this, a lightweight transfer learning model for forecasting PV power in DTAs is proposed, focusing on the ultra-short-term timescale. Firstly, dynamic time warping (DTW) distance is introduced into the affinity propagation (AP) clustering algorithm to achieve sub-region division based on output consistency. To enhance the model's ability to learn spatiotemporal information, a spatiotemporal feature decoupling architecture is developed, combining Transformer encoder (TE) with the GraphSAGE graph neural network for joint modeling of all DTAs within each sub-region. Furthermore, a lightweight transfer learning framework based on shared sub-region features is designed to facilitate rapid cross-sub-region modeling. Finally, the proposed method is tested using data from two distinct climatic regions. The results show an average reduction of 10.95% in NRMSE for 4-hour-ahead forecasts and a 9-10 fold reduction in modeling time, confirming the superiority of the proposed approach.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"62 5","pages":"7624-7640"},"PeriodicalIF":5.2,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149011297","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}
Tushar Kanti Roy;Md Apel Mahmud;Amanullah Maung Than Oo
{"title":"Hybrid Dispatch and Reliability-Constrained of Off-Grid Solar–Hydrogen System Design: A Case Study for Remote Australia","authors":"Tushar Kanti Roy;Md Apel Mahmud;Amanullah Maung Than Oo","doi":"10.1109/TIA.2026.3676957","DOIUrl":"https://doi.org/10.1109/TIA.2026.3676957","url":null,"abstract":"The rapid growth of renewable hydrogen highlights the necessity of reliable and sustainable hydrogen production systems, particularly for remote off-grid regions. This paper presents a rigorous and comprehensive framework for designing and evaluating solar-powered hydrogen systems integrating several unique features such as the reliability, economic performance, and environmental impact. A hierarchical energy management strategy is introduced to coordinate photovoltaic generation, battery energy storage systems, and hydrogen technologies under a firm reliability constraint and a fixed daily hydrogen delivery requirement. This framework is applied to a case study in the Pilbara region of Western Australia considering four configurations are analyzed. The configuration combining photovoltaic generation, battery storage, an electrolyzer, and hydrogen storage (PV–BESS–EL–HT) delivers the strongest overall performance, achieving a levelized cost of hydrogen of $3.20/kg, a levelized cost of electricity of $0.286/kWh, annual CO<sub>2</sub> avoidance of <inline-formula><tex-math>$4.12times 10^{5}$</tex-math></inline-formula> kg, and very high reliability with the loss of power supply probability of 0.0002 and only 32 kWh/year of unmet load. It produces and delivers 29,970 kg/year of hydrogen while limiting curtailment to <inline-formula><tex-math>$2.12times 10^{5}$</tex-math></inline-formula> kWh/year. Reliability-constrained dispatch further reduces curtailment and extends component life while maintaining competitive costs. Sensitivity analysis shows that electrolyzer’s capital cost and financial parameters (e.g., the discount rate and project lifetime), have a significant impact on economic outcomes which lead to changes in the cost of up to <inline-formula><tex-math>$pm$</tex-math></inline-formula>17%. Solar irradiance and electrolyzer efficiency cause variations of up to <inline-formula><tex-math>$pm$</tex-math></inline-formula>12%, while battery cost has only a minor effect. By bringing together reliability, techno-economics and lifecycle environmental performance in a single assessment, the framework offers a practical way to plan off-grid renewable hydrogen projects. It gives policymakers, investors and planners useful guidance for scalable solutions in remote, resource-rich regions.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"62 5","pages":"7740-7754"},"PeriodicalIF":5.2,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149011317","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}
{"title":"A Modified Standstill Parameter Identification Method for Doubly-Fed Induction Generator-Motor in Variable-Speed Pumped Storage","authors":"Xianzhuo Zhang;Jin Wang;Lin Luo;Jianjun Liu;Libing Zhou","doi":"10.1109/TIA.2026.3675147","DOIUrl":"https://doi.org/10.1109/TIA.2026.3675147","url":null,"abstract":"The electrical parameters of large-capacity doubly-fed induction generator motors (DFIGMs) affect the power regulation range, transient response, and motor control performance, so the accurate identification of electrical parameters is very important. The parameter identification methods reported in the literature have the rank-deficiency problem, making it difficult to accurately identify all parameters simultaneously. Therefore, this paper proposes a modified parameter identification method, which increases the model's rank by introducing the rotor transfer function. Based on the proposed method, all electrical parameters can be identified simultaneously. In addition, the influence of magnetic saturation on parameters is considered. To improve the accuracy of parameter identification, the Multi-Objective Differential Evolution (MODE) algorithm is used to fit the current signals. The finite element analysis (FEA) of a 300MW DFIGM is carried out using the proposed method, verifying its effectiveness. Finally, the proposed parameter identification test is conducted on a 40kW DFIGM, and the error of inductance parameters is within 4% compared with those measured by IEEE and IEC standards.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"62 5","pages":"7222-7234"},"PeriodicalIF":5.2,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149011249","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}
Fengyuan Yang;Huihua Feng;Boru Jia;Zhiyuan Zhang;Wu Qin;Song Li
{"title":"A Novel Sensorless Position Sensing for Free-Piston Engine Generation Using Observation Coil","authors":"Fengyuan Yang;Huihua Feng;Boru Jia;Zhiyuan Zhang;Wu Qin;Song Li","doi":"10.1109/TIA.2026.3657707","DOIUrl":"https://doi.org/10.1109/TIA.2026.3657707","url":null,"abstract":"Accurate piston position information is crucial for the control and efficient operation of Free piston engine generator (FPEG). Conventional position sensors, however, are costly, which has restricted the development of FPEG. This paper proposes a novel sensorless position observation method based on the structural characteristics of FPEG. By leveraging observation coils to establish a relationship between magnetic flux variation and displacement, this proposed approach enables real-time monitoring of piston position. An equivalent magnetic network model is developed to analyze the flux variation within the observation coil, and a series of displacement observation experiments were conducted on a test bench. The results show that the calculated magnetic flux exhibits a strong linear relationship with the actual mover position. The proposed method achieves real-time position estimation across various operating strokes with a signal delay of less than 1 ms and a detection error below 4% . This technique demonstrates excellent potential for improving the performance, robustness, and commercial feasibility of FPEG systems.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"62 5","pages":"7143-7152"},"PeriodicalIF":5.2,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149011257","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}
Paul Bruyere;Alexis Derbey;Betina Zynger-Capaverde;Eric Vagnon;Jean-Luc Schanen;Jean-Michel Guichon;Omar Sanjakdar;Yvan Avenas
{"title":"Electrical Characterization of Modular 3D Packaging Assembled With Removable Metal Parts","authors":"Paul Bruyere;Alexis Derbey;Betina Zynger-Capaverde;Eric Vagnon;Jean-Luc Schanen;Jean-Michel Guichon;Omar Sanjakdar;Yvan Avenas","doi":"10.1109/TIA.2026.3657710","DOIUrl":"https://doi.org/10.1109/TIA.2026.3657710","url":null,"abstract":"This paper proposes a novel modular packaging concept based on the 3D integration of 1.2 kV SiC MOSFET with metal foams for electrical contacts with pressure assembly. The latter make possible the disassembly of switching cells by keeping low electrical resistance and inductance inside the package. Thus, static and dynamic experimental characterizations are carried out to evaluate their impact compared to copper interposers. Static measurements show that the electrical resistance of the package is in the range from 3 to 4 mΩ. Dynamic characterizations demonstrate that the stray inductance of the switching cell is close to 3 nH. With results obtained with copper interposers close to the ones obtained with foams, the material used for the electrical interconnection have low impact on the electrical performances of the power module. However, the modification of the pressure distribution in the power module induces a modification of the resistance and stray inductance. This dependency is more important for copper interposers because they are non-deformable.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"62 5","pages":"7554-7565"},"PeriodicalIF":5.2,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149011274","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}
Hongying He;Haiwen Chen;Guangwei Luo;Jizhong Zhu;Diansheng Luo;Wenju Liang;Nan Liu
{"title":"An Improved Knowledge Graph Completion Method for the Power Transformer Based on Graph Neural Network and TransR","authors":"Hongying He;Haiwen Chen;Guangwei Luo;Jizhong Zhu;Diansheng Luo;Wenju Liang;Nan Liu","doi":"10.1109/TIA.2026.3655656","DOIUrl":"https://doi.org/10.1109/TIA.2026.3655656","url":null,"abstract":"With a high proportion of new energy access in the power grid, the risks of the operation of the power equipment increase. The completed construction of the knowledge graph for the power equipment provides a more objective and intelligent way for the maintenance personnel to make more accurate judgment and decision. Currently, the knowledge graph for electrical equipment is far from complete. In order to further mine the knowledge in the knowledge graph and improve the integrity of the graph, a dynamic completing method for the knowledge graph of the power transformer maintenance based on Translation in Relation space (TransR) and Graph Neural Network (GNN) is presented. A GNN is designed for the graph embedding of the triples to obtain the representation ability of the out-graph entities of the triples. TransR combined with spatial transformations is designed to handle complex entity relations, which addresses the limitation of TransE that is only suitable for one-to-one relations. By ensuring consistency between the entity and the relation space vectors, graph extrapolation and the accuracy of knowledge graph completion are highly enhanced. Through the extraction of the relational and neighborhood features, GNNs achieve global relation prediction and comprehensive knowledge graph completion. Extensive experiments conducted on the power domain knowledge graph demonstrate the superiority of the proposed method. The results indicate that even for out-graph entity completion, the proposed approach achieves absolute improvements in identification accuracy of 21.56%, 6.89%, 10.8%, 5.83%, and 4.33% compared to TransE, TransR, ComplEx, OOKB-GNN, and TransE+GNN, respectively.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"62 5","pages":"8005-8017"},"PeriodicalIF":5.2,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149011358","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}
Harisyam P V;Surjakanta Mazumder;Saichand Kasicheyanula;Shashidhar Mathapati;Kaushik Basu
{"title":"Single Stage Soft Switched Medium Voltage AC to DC Converter With Reduced Current Stress","authors":"Harisyam P V;Surjakanta Mazumder;Saichand Kasicheyanula;Shashidhar Mathapati;Kaushik Basu","doi":"10.1109/TIA.2026.3655645","DOIUrl":"https://doi.org/10.1109/TIA.2026.3655645","url":null,"abstract":"Integration with medium-voltage AC (MVAC) is essential for grid-integrated high-power DC applications. Single-phase single-stage AC to DC converters with high-frequency isolation are connected in an input series, output parallel configuration to realise an MVAC to DC converter that replaces line-frequency transformer-based solutions. Device count is reduced in such solutions by combining the bridges on the DC side, which brings additional challenges, such as unidirectional power flow, hard-switched operation, and higher current stress. This paper is based on a modular single-stage converter for direct MVAC-to-LVDC conversion with a combination of bridges on the DC side, overcoming these challenges. The four-leg structure on the DC side bridge with the proposed Dual Active Bridge (DAB) based Triple Phase Shift (TPS) modulation, reduces high-frequency current stress and achieves soft switching for the entire line cycle, thereby improving efficiency. The paper outlines the systematic design process for an 11 kV 400 kW system, including transformer turns ratio and series inductor to minimise the high-frequency current stress. Experimental results for a laboratory-scale 5 kW SiC-based prototype are provided with an efficiency of 96.3% and THD of 2.8% in AC side current to validate the proposed solution.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"62 5","pages":"7370-7385"},"PeriodicalIF":5.2,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149011418","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}
Zhong Zheng;Zhonglei Li;Zhaorui Luo;Heyu Wang;Guozheng Cao;You Wu;Boxue Du
{"title":"Space Charge and Electric Field Evolution in ±500 kV Submarine Cable Factory Joints Under DC and Polarity Reversal Conditions","authors":"Zhong Zheng;Zhonglei Li;Zhaorui Luo;Heyu Wang;Guozheng Cao;You Wu;Boxue Du","doi":"10.1109/TIA.2026.3675210","DOIUrl":"https://doi.org/10.1109/TIA.2026.3675210","url":null,"abstract":"This paper investigates the evolution of space charge (SC) and electric field (EF) in factory joints (FJs) for ±500 kV submarine cables under DC and polarity reversal (PR) conditions. The FJ insulation samples are prepared for PEA and SPD measurement. A charge transport model for FJ insulation is established and validated. The results show that, compared with the cable insulation (CI), the reinforcing insulation (RI) with a shorter degassing time overall exhibits a higher impurity content, higher carrier mobility, and shallower trap levels. These differences result in the interfacial charge accumulation. Under DC voltage, the interfacial charge density increases with polarization time, weakening the interfacial EF and increasing its angular deviation. As the temperature gradient (ΔT) increases, the combined effects of SC and interfacial charge lead to a gradual rise in the EF on the outer side of the insulation transition region. During PR, charge recombination is the dominant behavior at the interface. The SC and interfacial charge are not fully dissipated at the end of PR, making the interface a critical location for EF distortion. The maximum interfacial EF at ΔT = 30 °C increases by 76.63% compared with that at 0 °C, confirming that a higher ΔT exacerbates EF distortion. This study reveals the SC and EF characteristics in FJ insulation under different conditions, which have potential significance for the design and reliability enhancement of HVDC submarine cable systems.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"62 5","pages":"8121-8131"},"PeriodicalIF":5.2,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149011368","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}