Yumei Ma;Donghai Zhu;Haipeng Zhu;Jiabing Hu;Xudong Zou;Yong Kang
{"title":"Transient Stability Analysis and Enhancement of DFIG-Based Wind Turbine With Demagnetization Control During Grid Fault","authors":"Yumei Ma;Donghai Zhu;Haipeng Zhu;Jiabing Hu;Xudong Zou;Yong Kang","doi":"10.1109/TIA.2024.3472633","DOIUrl":"https://doi.org/10.1109/TIA.2024.3472633","url":null,"abstract":"Demagnetization control is the most commonly used low voltage ride through (LVRT) method for doubly fed induction generator (DFIG)-based wind turbines (WTs). However, the WT may suffer from transient instability issues under demagnetization control, which has not been revealed in existing studies. To fill this gap, the transient model of DFIG-based WT with demagnetization control has been established. Then, the transient stability has been analyzed by using the Lyapunov's energy function and inverse trajectory method, in which the influence of multiple parameters (e.g., grid conditions, demagnetization coefficient, PLL control parameters) on transient stability have been revealed. It is discovered that the improper demagnetization coefficient will lead to new transient instability issue, and damping energy along trajectory can contribute to the transient stability. On this basis, a trajectory reconstruction control has been proposed to enhance the transient stability of DFIG-based WT with demagnetization control. Finally, the analysis and proposed method are validated by hardware-in-the-loop (HIL) experiments.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 1","pages":"1031-1042"},"PeriodicalIF":4.2,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106877","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}
Xing Liu;Hui Yang;Shun Cai;Heyun Lin;Feng Yu;Yong Yang
{"title":"A Novel Finite-Control-Set Model-Free Predictive Current Control Incorporating Event Triggering Mechanism for PMSM Drives","authors":"Xing Liu;Hui Yang;Shun Cai;Heyun Lin;Feng Yu;Yong Yang","doi":"10.1109/TIA.2024.3472640","DOIUrl":"https://doi.org/10.1109/TIA.2024.3472640","url":null,"abstract":"This paper proposes a novel finite-control-set model-free predictive current control (FCS-MFPCC) for permanent magnet synchronous machine (PMSM) drives. Different to the existing FCS-MFPCC methods, the proposed method is designed based on the sliding-mode (SM) control theory, exhibiting the merits of parameter-independence and reduced computation burden. Meanwhile, there are no tuning coefficients in the proposed method, and the information of dc-link voltage is unconcerned. Furthermore, the event triggering (ET) mechanism is introduced to the proposed FCS-MFPCC, and a combined triggering condition is designed. In this way, not only the current errors can be regulated within a preset range but also the SM existence condition can be maintained anytime. Besides, the delay compensation is also considered for the proposed method. Finally, the simulated and experimental results based on a PMSM test rig are given to validate the effectiveness and superiority of the proposed method.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 1","pages":"322-334"},"PeriodicalIF":4.2,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143361312","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":"Distributed Chance-Constrained Optimal Dispatch for Integrated Energy System With Electro-Thermal Couple and Wind-Storage Coordination","authors":"Zhenwei Zhang;Yan Wang;Chengfu Wang;Ya Su;Yong Wang;Yong Dai;Can Cui;Wei Zhang","doi":"10.1109/TIA.2024.3472653","DOIUrl":"https://doi.org/10.1109/TIA.2024.3472653","url":null,"abstract":"Cross-regional long-distance transmission is a promising way for utilizing renewable energy sources (RESs) with geographically imbalanced distribution. However, the stochastic fluctuations of RESs will be transferred to the receiving energy networks, and the complex operating conditions of cross-regional transmission lines further affect energy delivery. In this paper, we propose a coordinated optimization model for an integrated energy system (IES) that considers the uncertain injection from long-distance wind farms. First, a dynamic capacity calculation model of overhead transmission lines (OTLs) is established, taking into account the electro-thermal couple characteristics and real-time ambient conditions. Second, an IES model integrating electricity and natural gas distribution networks is built and converted into second-order conic programming using the McCormick approach. Third, a distributed chance-constrained optimization framework is proposed to coordinate the wind-storage system and IES. The probabilistic constraints are converted into certain constraints based on stochastic scenario sampling. Besides, to maintain the variable consistency of the connection lines between cross-regional systems, we employ the virtual node approach to achieve a fast-distributed iterative solution. Finally, simulation results on a modified IEEE33-Belgium20 test system demonstrate the superiority of the proposed method in operational economy and RESs utilization.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 1","pages":"833-846"},"PeriodicalIF":4.2,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106892","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 Direct Search Nelder Mead MPPT Based Induction Motor Drive for Solar PV Water Pumping System","authors":"Swetha Kudlur Thyagaraju;Barry Venugopal Reddy;Rohit Kumar Jain","doi":"10.1109/TIA.2024.3473900","DOIUrl":"https://doi.org/10.1109/TIA.2024.3473900","url":null,"abstract":"This paper introduces a Nelder-Mead (NM) optimization approach for maximum power point tracking (MPPT) in solar photovoltaic water pumping systems (WPS). The NM method comprises four main operations, namely reflection, expansion, contraction, and shrinkage. These operations assist all particles rapidly converge toward a global maximum power point (GMPP) with negligible steady-state oscillation. A water pumping system, integrated with an induction motor drive, is operated through a scalar control method employing a three-phase voltage source inverter. To regulate the DC-link voltage, a robust control method, specifically the integral sliding mode controller (ISMC), is proposed. Furthermore, a smooth function is introduced to address the concern of chattering magnitude associated with the ISMC. The proposed system is both modeled and simulated using MATLAB followed by experimental validation. Additionally, the effectiveness of the algorithm is confirmed through comparisons with conventional methods. The proposed NM algorithm demonstrates a convergence efficiency of 99.85%, with an average tracking time of 0.23 s. The introduced control methods contribute to improvement in system performance, particularly under dynamic shading conditions.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 1","pages":"607-617"},"PeriodicalIF":4.2,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143396364","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 Data-Driven Global Sensitivity Analysis of Output Power to Electrical Faults in Different SPV Array Topologies","authors":"Utkarsh Kumar;Sukumar Mishra","doi":"10.1109/TIA.2024.3473897","DOIUrl":"https://doi.org/10.1109/TIA.2024.3473897","url":null,"abstract":"Solar photovoltaic (SPV) arrays are subject to various electrical faults, such as line-to-line and line-to-ground. Quantifying the power injection during high impedance array faults and faults under low irradiance is challenging due to the maximum power point tracking control and the associated blocking and bypass diodes. Hence, global sensitivity analysis (GSA) of output power to random SPV array faults is imperative to develop efficient control, operation, and planning strategies for a renewable-integrated power system. Therefore, in this paper, a data-driven approach based on the polynomial chaos Kriging method is proposed for GSA. Four different state-of-the-art topologies of SPV array, namely, series-parallel, total-cross-tied, honey-comb, and bridge-linked, have been analyzed to find out the sensitivity of power to various electrical faults at different fault resistances. A sparse set of orthonormal polynomials approximate the global behavior, whereas analysis of variance kernel-based Kriging analyzes the local variability of the system output. This creates a hybrid metamodel that reflects the global relationship between the output power and random SPV array faults. With the developed metamodel, Sobol indices are calculated analytically to assess the sensitivity of outputs to the input variations, thus determining the severity of faults for array topology. The suggested methodology is less data intensive and is verified on a real-time hardware set-up of a grid-connected SPV system. Comparison results with the existing approaches substantiate the efficacy of the proposed method in terms of accuracy and scalability.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 1","pages":"618-628"},"PeriodicalIF":4.2,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143396341","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":"Review on Power Factor Improvement of Vernier Machines","authors":"Yongtao Liang;Zaixin Song;Ching Chuen Chan","doi":"10.1109/TIA.2024.3472632","DOIUrl":"https://doi.org/10.1109/TIA.2024.3472632","url":null,"abstract":"Due to flux modulation (FM) effect, vernier machines (VMs) achieve high torque density, marking them as promising for variable speed applications. However, their practical implementation is hindered by the challenge of a low power factor (PF), which leads to the poor generation power quality, the increased converter capacity, and the limited overload capability. This paper offers a comprehensive review, summarizing relevant emerging technologies aimed at breaking through the limitation. It delves into the mechanisms, calculation methods, and optimal design strategies for PF from three core angles: the excitation source, the modulator, and the filter. By examining these pertinent technologies, the main findings reveal that optimizing the three elements can reduce leakage flux and enhance the working harmonic ratio of VMs, thereby improving the PF of VMs. By examining pertinent technologies, this paper outlines a strategic roadmap and aims to spark future research endeavors to overcome the PF challenge in VMs.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 1","pages":"89-103"},"PeriodicalIF":4.2,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106283","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}
Dandi Zhang;Hongfa Ding;Zhou He;Siqi Huang;Yongxiu Song
{"title":"A Novel Gradient Driver Circuit With Composite Converter Structure for MRI","authors":"Dandi Zhang;Hongfa Ding;Zhou He;Siqi Huang;Yongxiu Song","doi":"10.1109/TIA.2024.3472638","DOIUrl":"https://doi.org/10.1109/TIA.2024.3472638","url":null,"abstract":"The gradient driver is a crucial component of Magnetic Resonance Imaging (MRI) instruments, primarily responsible for generating magnetic field gradients used for spatial localization and imaging. Conventional gradient driver schemes employ H-bridges with high-voltage DC voltage source to generate the required current waveform. In these schemes, switching devices operate at extremely high switching frequencies and must withstand exceptionally high voltage and current stresses. In order to address this technical issue, this paper proposes a novel topology that utilizes composite converter structure to generate the output current. Compared to conventional topologies, this approach significantly reduces the operating frequency of all switching devices, resulting in reduced switching losses and enhanced stability. Additionally, this novel topology also reduces current and voltage stresses on highspeed switching devices, lowering their selection requirements and overall cost. Parameter design and topology analysis are made aimed for a typical waveform of 2000 A peak current, 20 ms flat-top, 1000 ppm stability, 500 <inline-formula><tex-math>$mu$</tex-math></inline-formula>s rising-edge and fallingedge period. A full-scale simulation and a down-scale experiment of 200 A peak current, 30 ms flat-top, 10000 ppm stability, 1200 <inline-formula><tex-math>$mu$</tex-math></inline-formula>s rising edge, and falling edge period have been conducted for both conventional topology and proposed topology to validate the advantages of the proposed topology. Simulation results, as well as experimental results, both verified the proposed topology's advantages in lower switching frequency and less current and voltage stresses of the high-speed switching devices. All these factors combined contribute to a significantly lower switching loss.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 1","pages":"537-548"},"PeriodicalIF":4.2,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143361427","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":"Learning Volt-VAR Droop Curves to Optimally Coordinate Photovoltaic (PV) Smart Inverters","authors":"Daniel Glover;Anamika Dubey","doi":"10.1109/TIA.2024.3472655","DOIUrl":"https://doi.org/10.1109/TIA.2024.3472655","url":null,"abstract":"Learning-based solutions for power systems operational tasks are earning more consideration as potential candidates to help overcome challenges brought upon by the aggressive integration of inverter-based resources (IBRs) in active distribution networks (ADNs). Despite achieving high evaluation accuracies, machine learning (ML) methods are not yet accepted at utility-scale primarily due to safety concerns and limited interpretability. This presents an opportunity for ML approaches which can satisfy both performance and regulatory requirements. In an effort to improve these shortcomings, this work proposes a robust Deep Reinforcement Learning (DRL) based model-free adaptive volt-VAR control (VVC) dispatch framework of solar photovoltaic (PV) smart inverters (SIs) for system-wide voltage regulation and loss reduction. The framework utilizes reward shaping with a barrier function (BF) filter to embed physical boundaries for Category B-type SIs specified by the IEEE 1547-2018 standard into the constrained <italic>Markov Decision Process</i> (CMDP) formulation. Results carried out on the IEEE 123 bus test system show that the proposed method converges to a robust discrete policy offline, producing QV-droop curves compliant with IEEE 1547-2018, which outperform the baseline benchmark during overloaded conditions.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 1","pages":"859-871"},"PeriodicalIF":4.2,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106939","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":"Holistic Fault Detection, Classification, and Localization in ADNs With Optimally Placed D-PMUs","authors":"Manoj Prabhakar Anguswamy;Manoj Datta;Lasantha Meegahapola;Arash Vahidnia","doi":"10.1109/TIA.2024.3471997","DOIUrl":"https://doi.org/10.1109/TIA.2024.3471997","url":null,"abstract":"Effective fault detection allows distribution system operators (DSOs) to provide reliable power to customers in active distribution networks (ADNs). Advantages include faster maintenance, less downtime, fewer critical system events, economic benefits, and prevention of network-wide cascading faults. In this paper, a new fault detection, classification, and localization (FDCL) method is developed that uses optimally placed distribution-level phasor measurement units (D-PMUs) to track positive, negative, and zero-sequence components considering unique distribution network attributes (UDNA). A simple feed-forward neural network (FFNN) detects and classifies faults, while an ensemble bagged trees (EBT) classifier approximates line fault location at a high fault resolution. A coordinated localization strategy using nearby D-PMUs reduces fault localization error further. The proposed voltage-induced transient method also correlates fault impedance and ground resistance. The IEEE-13, IEEE-34, and IEEE-123 test feeders verify the method's fidelity, including topology changes, spontaneous renewable integration effects alongside various D-PMU placement methods. Computational optimization through cloud computing and ADN splitting workflow is also established.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 1","pages":"1171-1184"},"PeriodicalIF":4.2,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106941","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}
Mikel Mendizabal;Alex McCloskey;Sergio Zarate;Javier Poza;Gaizka Almandoz
{"title":"Fast Finite Element Based Vibration Response Calculation Procedure for Permanent Magnet Synchronous Machines","authors":"Mikel Mendizabal;Alex McCloskey;Sergio Zarate;Javier Poza;Gaizka Almandoz","doi":"10.1109/TIA.2024.3472647","DOIUrl":"https://doi.org/10.1109/TIA.2024.3472647","url":null,"abstract":"The vibration of the stator frame due to electromagnetic forces is one of the main noise and vibration sources of electric machines. In some applications, due to the wide variety of working conditions, magnetic circuit design optimisations are not enough, and the control of the machine is needed to reduce vibrations. Therefore, this work presents a reduced model, to be used during the control, which is able to estimate the stator frame vibrations of a Permanent Magnet Synchronous Machine. Finite Element calculations are performed, and the results are saved in Look-Up Tables and implemented in a calculation procedure, allowing a fast vibration estimation for any input conditions. The proposed model demonstrated the same accuracy as Finite Element simulations, with a calculation time of several seconds. The model was validated using experimental measurements, and it reliably estimated the evolution of the vibration of a commercial machine under varying current and rotational speed. Its potential to test harmonic current injection strategies was also experimentally corroborated. Thus, the model presented in this work is suitable to be further developed and implemented as a virtual sensor in a harmonic injection control procedure.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 1","pages":"104-114"},"PeriodicalIF":4.2,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106282","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}