The installation of ultra-fast dc charging infrastructures is rapidly increasing worldwide in response to the exponential growing trend of electric vehicle (EV) market. Due to their discontinuous and unpredictable high power absorption, ultra-fast dc chargers pose a challenge for the power system stability. However, their negative impact on the grid operation can be mitigated by making them bidirectional, leveraging the energy stored in EV batteries or in the installed separate storage. Therefore, the power system can exploit this amount of energy to deal with unexpected grid large power imbalances. Moreover, ultra-fast dc chargers can contribute to power system stability by embedding virtual synchronous machine (VSM) algorithms into their ac/dc stage, i.e., the active front-end (AFE) converter unit. The charging station is thus enabled to provide grid services normally in charge of traditional synchronous generators, such as inertial behavior and short circuit current injection during faults to trigger line protections. However, the provision of inertial active power involves a non-negligible reactive power contribution due to the active-reactive power coupling, thus increasing the output current of the converter. Nevertheless, the power coupling also affects the grid support during faults. Indeed, when the AFE injects a short circuit current into the grid, a fluctuating active power can propagate from the grid to the EVs, resulting in a potential cause of degradation for the EV batteries. Therefore, this article proposes a feedforward-based decoupling solution to guarantee the complete active–reactive power dynamic decoupling while the AFE of an ultra-fast dc charger is providing grid support. Moreover, the proposed method ensures a full-decoupled dynamic response also in case of power references variation during the normal EV charging operation. The proposed decoupling algorithm is experimentally validated on a down-scaled 15 kVA two-level three-phase inverter, emulating the AFE of the ultra-fast dc charger.
{"title":"Power Decoupling Methods for Grid Support Provided by Ultra-Fast Bidirectional Chargers","authors":"Alessandro Roveri;Vincenzo Mallemaci;Fabio Mandrile;Radu Bojoi","doi":"10.1109/OJIA.2025.3529042","DOIUrl":"https://doi.org/10.1109/OJIA.2025.3529042","url":null,"abstract":"The installation of ultra-fast dc charging infrastructures is rapidly increasing worldwide in response to the exponential growing trend of electric vehicle (EV) market. Due to their discontinuous and unpredictable high power absorption, ultra-fast dc chargers pose a challenge for the power system stability. However, their negative impact on the grid operation can be mitigated by making them bidirectional, leveraging the energy stored in EV batteries or in the installed separate storage. Therefore, the power system can exploit this amount of energy to deal with unexpected grid large power imbalances. Moreover, ultra-fast dc chargers can contribute to power system stability by embedding virtual synchronous machine (VSM) algorithms into their ac/dc stage, i.e., the active front-end (AFE) converter unit. The charging station is thus enabled to provide grid services normally in charge of traditional synchronous generators, such as inertial behavior and short circuit current injection during faults to trigger line protections. However, the provision of inertial active power involves a non-negligible reactive power contribution due to the active-reactive power coupling, thus increasing the output current of the converter. Nevertheless, the power coupling also affects the grid support during faults. Indeed, when the AFE injects a short circuit current into the grid, a fluctuating active power can propagate from the grid to the EVs, resulting in a potential cause of degradation for the EV batteries. Therefore, this article proposes a feedforward-based decoupling solution to guarantee the complete active–reactive power dynamic decoupling while the AFE of an ultra-fast dc charger is providing grid support. Moreover, the proposed method ensures a full-decoupled dynamic response also in case of power references variation during the normal EV charging operation. The proposed decoupling algorithm is experimentally validated on a down-scaled 15 kVA two-level three-phase inverter, emulating the AFE of the ultra-fast dc charger.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"6 ","pages":"107-119"},"PeriodicalIF":7.9,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10840203","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465806","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 : 2025-01-14DOI: 10.1109/OJIA.2024.3511055
{"title":"IEEE Industry Applications Society Information","authors":"","doi":"10.1109/OJIA.2024.3511055","DOIUrl":"https://doi.org/10.1109/OJIA.2024.3511055","url":null,"abstract":"","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"6 ","pages":"C2-C2"},"PeriodicalIF":7.9,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10841414","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142976091","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 : 2025-01-08DOI: 10.1109/OJIA.2025.3527721
D. Pelosi;L. Trombetti;F. Gallorini;P. A. Ottaviano;L. Barelli
Na-ion batteries are growing interest due to their sustainability and low cost. A wide implementation in stationary applications, but also for short range transportation, is envisaged. This is further supported by the recent progress on Na-ion cells with increased energy density. To this regards, the development of procedures for real-time assessment of batteries state of health is of crucial relevance. The present paper provides an innovative procedure to assess sodium-ion battery capacity fading based on the application of discrete wavelet transform to voltage signals, acquired once a certain load pattern is applied at the battery terminals. The procedure development is provided through Na-ion cell aging test. During all the test battery capacity measurements are carried out. Root mean square error (RMSE) between assessed and measured values equals 1.18%. Moreover, during the aging test significant differences between performance evolution of Na-ion and NCR Li-ion cells are highlighted and discussed.
{"title":"Advanced Online State-of-Health Prediction and Monitoring of Na-Ion Battery for Electric Vehicles Application","authors":"D. Pelosi;L. Trombetti;F. Gallorini;P. A. Ottaviano;L. Barelli","doi":"10.1109/OJIA.2025.3527721","DOIUrl":"https://doi.org/10.1109/OJIA.2025.3527721","url":null,"abstract":"Na-ion batteries are growing interest due to their sustainability and low cost. A wide implementation in stationary applications, but also for short range transportation, is envisaged. This is further supported by the recent progress on Na-ion cells with increased energy density. To this regards, the development of procedures for real-time assessment of batteries state of health is of crucial relevance. The present paper provides an innovative procedure to assess sodium-ion battery capacity fading based on the application of discrete wavelet transform to voltage signals, acquired once a certain load pattern is applied at the battery terminals. The procedure development is provided through Na-ion cell aging test. During all the test battery capacity measurements are carried out. Root mean square error (RMSE) between assessed and measured values equals 1.18%. Moreover, during the aging test significant differences between performance evolution of Na-ion and NCR Li-ion cells are highlighted and discussed.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"6 ","pages":"59-68"},"PeriodicalIF":7.9,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10834587","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105654","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 : 2025-01-07DOI: 10.1109/OJIA.2025.3526628
Elia Brescia;Massimo Tipaldi;Francesco Torelli;Paolo Roberto Massenio;Luigi Pio Savastio;Giuseppe Leonardo Cascella;Enrico De Tuglie
Sliding mode controllers (SMCs) are commonly used in permanent-magnet synchronous machines (PMSMs) for current control due to their robustness and simplicity. However, high gains used in traditional discontinuous SMC implementations can induce chattering. To address this, disturbance observers are employed to maintain robustness without resorting to high gains. This article introduces a novel continuous asymptotic SMC method for PMSM currents that avoids the need for disturbance observers, resulting in reduced complexity and tuning efforts. The control laws of the two $dq$-axes currents are obtained through the sensitivity of the tracking errors with respect to the controller outputs. The robustness and convergence properties of the proposed control laws are theoretically studied using the Lyapunov approach. Numerical simulations are used to evaluate the performance and robustness of the proposed controller, followed by experiments to compare it to a discontinuous terminal SMC with and without a disturbance observer. The results clearly demonstrate the superiority of the proposed controller that ensures fast convergence, low chattering, and high robustness to parameter variations without requiring the design of additional disturbance observers.
{"title":"A Continuous Sliding Mode Current Control Based on the Sensitivity Theory for PMSM Drives","authors":"Elia Brescia;Massimo Tipaldi;Francesco Torelli;Paolo Roberto Massenio;Luigi Pio Savastio;Giuseppe Leonardo Cascella;Enrico De Tuglie","doi":"10.1109/OJIA.2025.3526628","DOIUrl":"https://doi.org/10.1109/OJIA.2025.3526628","url":null,"abstract":"Sliding mode controllers (SMCs) are commonly used in permanent-magnet synchronous machines (PMSMs) for current control due to their robustness and simplicity. However, high gains used in traditional discontinuous SMC implementations can induce chattering. To address this, disturbance observers are employed to maintain robustness without resorting to high gains. This article introduces a novel continuous asymptotic SMC method for PMSM currents that avoids the need for disturbance observers, resulting in reduced complexity and tuning efforts. The control laws of the two <inline-formula><tex-math>$dq$</tex-math></inline-formula>-axes currents are obtained through the sensitivity of the tracking errors with respect to the controller outputs. The robustness and convergence properties of the proposed control laws are theoretically studied using the Lyapunov approach. Numerical simulations are used to evaluate the performance and robustness of the proposed controller, followed by experiments to compare it to a discontinuous terminal SMC with and without a disturbance observer. The results clearly demonstrate the superiority of the proposed controller that ensures fast convergence, low chattering, and high robustness to parameter variations without requiring the design of additional disturbance observers.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"6 ","pages":"48-58"},"PeriodicalIF":7.9,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10830512","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105670","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 : 2025-01-03DOI: 10.1109/OJIA.2025.3525771
Jefferson S. Costa;Angelo Lunard;Luís F. Normandia Lourenço;Lucas Rodrigues;Alfeu J. Sguarezi Filho
Electric vehicles (EVs) are the best solution to tackle the critical challenge of reducing carbon emissions in the transportation sector. However, the widespread adoption of EVs relies on advancing fast-charging infrastructure technology. This includes overcoming challenges related to operating under disturbed conditions, which can impact the stability of the internal control loop. This article presents a method for robustly tuning a generalized predictive control (GPC) for an EV charger grid converter. This approach aims to enhance its performance in the face of disturbances in the grid voltage and internal filter parameters. One significant scientific gap in applying GPC in grid-tied converters concerns systematic tuning. This article addresses this gap by explicitly analyzing the impact of tuning on the stability and robustness of the GPC controller. The concept of robust stability margin, derived from singular value decomposition, is used for this purpose. Experimental results obtained from an EV charger prototype validated the tuning proposal aimed at maximizing the robustness and performance of the grid converter. The tests with different internal filters guaranteed a performance level within the defined error band. Furthermore, experimental tests have shown that the proposed controller is more robust than conventional MPC.
{"title":"Disturbance Robust Generalized Predictive Control Applied to an EV Charger Grid Converter","authors":"Jefferson S. Costa;Angelo Lunard;Luís F. Normandia Lourenço;Lucas Rodrigues;Alfeu J. Sguarezi Filho","doi":"10.1109/OJIA.2025.3525771","DOIUrl":"https://doi.org/10.1109/OJIA.2025.3525771","url":null,"abstract":"Electric vehicles (EVs) are the best solution to tackle the critical challenge of reducing carbon emissions in the transportation sector. However, the widespread adoption of EVs relies on advancing fast-charging infrastructure technology. This includes overcoming challenges related to operating under disturbed conditions, which can impact the stability of the internal control loop. This article presents a method for robustly tuning a generalized predictive control (GPC) for an EV charger grid converter. This approach aims to enhance its performance in the face of disturbances in the grid voltage and internal filter parameters. One significant scientific gap in applying GPC in grid-tied converters concerns systematic tuning. This article addresses this gap by explicitly analyzing the impact of tuning on the stability and robustness of the GPC controller. The concept of robust stability margin, derived from singular value decomposition, is used for this purpose. Experimental results obtained from an EV charger prototype validated the tuning proposal aimed at maximizing the robustness and performance of the grid converter. The tests with different internal filters guaranteed a performance level within the defined error band. Furthermore, experimental tests have shown that the proposed controller is more robust than conventional MPC.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"6 ","pages":"69-78"},"PeriodicalIF":7.9,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10824861","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105655","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}
Icing is one of the most serious threats to power grid security in cold seasons. This article studies a problem of cooperatively scheduling inspection unmanned aerial vehicles (UAVs) and deicing UAVs for power grid deicing, the aim of which is to minimize the total expected loss of outages and collapses caused by the icing disaster. Uncertain outage risk, collapse risk, and deicing workload of each power line are modeled as fuzzy values predicted by fuzzy deep learning models, and we transform the fuzzy optimization problem into a crisp optimization problem based on fuzzy arithmetics and uncertain theory. We propose an evolutionary algorithm, which combines global search without individual interaction and adaptive local search that uses a fuzzy inference system to determine the operator to be applied on each solution. The algorithm is fully parallelizable and therefore can solve the problem very efficiently based on GPU parallel acceleration. Computational results on real-world problem instances validate the performance of the proposed method compared to the state of the arts.
{"title":"Cooperative UAV Scheduling for Power Grid Deicing Using Fuzzy Learning and Evolutionary Optimization","authors":"Yu-Jun Zheng;Zhi-Yuan Zhang;Jia-Yu Yan;Wei-Guo Sheng","doi":"10.1109/OJIA.2024.3522072","DOIUrl":"https://doi.org/10.1109/OJIA.2024.3522072","url":null,"abstract":"Icing is one of the most serious threats to power grid security in cold seasons. This article studies a problem of cooperatively scheduling inspection unmanned aerial vehicles (UAVs) and deicing UAVs for power grid deicing, the aim of which is to minimize the total expected loss of outages and collapses caused by the icing disaster. Uncertain outage risk, collapse risk, and deicing workload of each power line are modeled as fuzzy values predicted by fuzzy deep learning models, and we transform the fuzzy optimization problem into a crisp optimization problem based on fuzzy arithmetics and uncertain theory. We propose an evolutionary algorithm, which combines global search without individual interaction and adaptive local search that uses a fuzzy inference system to determine the operator to be applied on each solution. The algorithm is fully parallelizable and therefore can solve the problem very efficiently based on GPU parallel acceleration. Computational results on real-world problem instances validate the performance of the proposed method compared to the state of the arts.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"6 ","pages":"15-33"},"PeriodicalIF":7.9,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10815062","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142937888","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 : 2024-12-25DOI: 10.1109/OJIA.2024.3522364
Kamal Chandra Paul;Chen Chen;Yao Wang;Tiefu Zhao
Detecting series ac arc faults in diverse residential loads is challenging due to variations in load characteristics and noise. While traditional artificial intelligence-based algorithms can be effective, they often involve high computational complexity, limiting their real-time implementation on resource-constrained edge devices. This article introduces lightweight arc fault detection network (LArcNet), a novel, lightweight, and rapid-response algorithm for series ac arc fault detection. LArcNet combines a teacher–student knowledge distillation approach with an efficient convolutional neural network architecture to achieve high accuracy with minimal computational demand. This streamlined yet robust design makes LArcNet ideally suited for resource-constrained embedded systems, achieving an arc fault detection accuracy of 99.31%. The model is optimized and converted into TensorFlow Lite format to reduce size and latency, enabling deployment on low-power embedded devices such as the Raspberry Pi and the STM32 microcontrollers. Test results demonstrate LArcNet's inference times of just 0.20 ms on the Raspberry Pi 4B and 3 ms on the STM32H743ZI2, surpassing other leading models in operational speed while maintaining competitive accuracy in arc fault detection.
由于负载特性和噪声的变化，在各种住宅负载中检测串联交流电弧故障具有挑战性。虽然传统的基于人工智能的算法是有效的，但它们通常涉及高计算复杂性，限制了它们在资源受限的边缘设备上的实时实现。本文介绍了一种新颖、轻量、快速响应的串联交流电弧故障检测算法——轻型电弧故障检测网络（LArcNet）。LArcNet将师生知识蒸馏方法与高效的卷积神经网络架构相结合，以最小的计算需求实现高精度。这种精简而坚固的设计使LArcNet非常适合资源受限的嵌入式系统，实现了99.31%的电弧故障检测精度。该模型经过优化并转换为TensorFlow Lite格式，以减小尺寸和延迟，从而可以部署在低功耗嵌入式设备上，如树莓派和STM32微控制器。测试结果表明，LArcNet在Raspberry Pi 4B上的推断时间仅为0.20 ms，在STM32H743ZI2上的推断时间仅为3 ms，在运行速度上超过其他领先型号，同时在电弧故障检测方面保持具有竞争力的准确性。
{"title":"LArcNet: Lightweight Neural Network for Real-Time Series AC Arc Fault Detection","authors":"Kamal Chandra Paul;Chen Chen;Yao Wang;Tiefu Zhao","doi":"10.1109/OJIA.2024.3522364","DOIUrl":"https://doi.org/10.1109/OJIA.2024.3522364","url":null,"abstract":"Detecting series ac arc faults in diverse residential loads is challenging due to variations in load characteristics and noise. While traditional artificial intelligence-based algorithms can be effective, they often involve high computational complexity, limiting their real-time implementation on resource-constrained edge devices. This article introduces lightweight arc fault detection network (LArcNet), a novel, lightweight, and rapid-response algorithm for series ac arc fault detection. LArcNet combines a teacher–student knowledge distillation approach with an efficient convolutional neural network architecture to achieve high accuracy with minimal computational demand. This streamlined yet robust design makes LArcNet ideally suited for resource-constrained embedded systems, achieving an arc fault detection accuracy of 99.31%. The model is optimized and converted into TensorFlow Lite format to reduce size and latency, enabling deployment on low-power embedded devices such as the Raspberry Pi and the STM32 microcontrollers. Test results demonstrate LArcNet's inference times of just 0.20 ms on the Raspberry Pi 4B and 3 ms on the STM32H743ZI2, surpassing other leading models in operational speed while maintaining competitive accuracy in arc fault detection.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"6 ","pages":"79-92"},"PeriodicalIF":7.9,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10816166","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403851","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 : 2024-12-25DOI: 10.1109/OJIA.2024.3522564
Valdecir J. De Paris;Marco di Benedetto;Gierri Waltrich;Alessandro Lidozzi;Luca Solero
Among the converters currently employed for ac–dc conversion, diode rectifiers (DRs) and voltage source rectifiers are the most prevalent due to their accessibility, cost-effectiveness, and efficiency. However, current source rectifiers (CSRs) present several advantages, such as short-circuit protection, step-down capabilities, minimal output current ripple, and the elimination of dc bus capacitors. These features can lead to a reduction in overall size and an enhancement in power quality, although CSRs are often associated with higher conversion losses. Recent advancements in applications that can leverage the benefits of CSRs, along with the development of new devices to improve their efficiency, have produced renewed interest in this configuration. This article aims to review the design parameters of CSR components, modulation schemes, and control strategies, while also conducting a loss analysis using both established literature methods and innovative approaches developed by the authors. In addition, a comparison with other topologies is presented, illustrating that in certain applications and conditions, CSRs can be a compelling choice. Thus, rather than focusing on a specific aspect of CSRs, this article provides a comprehensive overview of the topic, offering practical insights for engineers.
{"title":"State-of-the-Art of CSR Design for Novel Applications Trend","authors":"Valdecir J. De Paris;Marco di Benedetto;Gierri Waltrich;Alessandro Lidozzi;Luca Solero","doi":"10.1109/OJIA.2024.3522564","DOIUrl":"https://doi.org/10.1109/OJIA.2024.3522564","url":null,"abstract":"Among the converters currently employed for ac–dc conversion, diode rectifiers (DRs) and voltage source rectifiers are the most prevalent due to their accessibility, cost-effectiveness, and efficiency. However, current source rectifiers (CSRs) present several advantages, such as short-circuit protection, step-down capabilities, minimal output current ripple, and the elimination of dc bus capacitors. These features can lead to a reduction in overall size and an enhancement in power quality, although CSRs are often associated with higher conversion losses. Recent advancements in applications that can leverage the benefits of CSRs, along with the development of new devices to improve their efficiency, have produced renewed interest in this configuration. This article aims to review the design parameters of CSR components, modulation schemes, and control strategies, while also conducting a loss analysis using both established literature methods and innovative approaches developed by the authors. In addition, a comparison with other topologies is presented, illustrating that in certain applications and conditions, CSRs can be a compelling choice. Thus, rather than focusing on a specific aspect of CSRs, this article provides a comprehensive overview of the topic, offering practical insights for engineers.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"6 ","pages":"34-47"},"PeriodicalIF":7.9,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10816015","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142940705","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 : 2024-12-05DOI: 10.1109/OJIA.2024.3511057
{"title":"IEEE Open Journal of Industry Applications Information for Authors","authors":"","doi":"10.1109/OJIA.2024.3511057","DOIUrl":"https://doi.org/10.1109/OJIA.2024.3511057","url":null,"abstract":"","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"6 ","pages":"C3-C3"},"PeriodicalIF":7.9,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10778401","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142777755","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 : 2024-11-18DOI: 10.1109/OJIA.2024.3501072
Saad Ahmad;Mariam Saeed;Juan Manuel Guerrero;Iker Muniategui-Aspiazu;Guillermo Nuñez;Igor Larrazabal;Fernando Briz
Due to the rapid development of power electronics and energy storage technologies, the trend toward electrified railway systems with onboard energy storage systems (OESS) is being followed by main train manufactures. In such systems, the control of the dc-link can be critical for stability and optimal power sharing between different energy sources. This paper presents a dc-link control strategy intended for OESS-based traction chains. A distinguishing characteristic of the proposed method is its ability to smoothly share the power demand among the available power sources, including the kinetic energy of the train, based on predefined priority levels. The control smoothly reacts to changes in the power limits, including no power, of the available energy sources, without modifying the control structure and with negligible variations of dc-link voltage. Simulation results are provided using a real train model with an onboard battery system. Finally, the proposed control is validated on a hardware prototype.
{"title":"Priority-Based DC-Link Voltage Control for Railway Traction Chains With Onboard Energy Storage","authors":"Saad Ahmad;Mariam Saeed;Juan Manuel Guerrero;Iker Muniategui-Aspiazu;Guillermo Nuñez;Igor Larrazabal;Fernando Briz","doi":"10.1109/OJIA.2024.3501072","DOIUrl":"https://doi.org/10.1109/OJIA.2024.3501072","url":null,"abstract":"Due to the rapid development of power electronics and energy storage technologies, the trend toward electrified railway systems with onboard energy storage systems (OESS) is being followed by main train manufactures. In such systems, the control of the dc-link can be critical for stability and optimal power sharing between different energy sources. This paper presents a dc-link control strategy intended for OESS-based traction chains. A distinguishing characteristic of the proposed method is its ability to smoothly share the power demand among the available power sources, including the kinetic energy of the train, based on predefined priority levels. The control smoothly reacts to changes in the power limits, including no power, of the available energy sources, without modifying the control structure and with negligible variations of dc-link voltage. Simulation results are provided using a real train model with an onboard battery system. Finally, the proposed control is validated on a hardware prototype.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"6 ","pages":"1-14"},"PeriodicalIF":7.9,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10755978","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142777754","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}
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