Pub Date : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774169
Matthew Baker, Hassan Althuwaini, M. Shadmand
The cascaded multi-level inverter (CMI) is becoming increasingly popular for wide range of applications in power electronics dominated grid (PEDG). The increased number of semiconductors devices in these class of power converters leads to an increased need for fault detection, isolation, and selfhealing. In addition, the PEDG’s cyber and physical layers are exposed to malicious attacks. These malicious actions, if not detected and classified in a timely manner, can cause catastrophic events in power grid. The inverters’ internal failures make the anomaly detection and classification in PEDG a challenging task. The main objective of this paper is to address this challenge by implementing a recurrent neural network (RNN), specifically utilizing long short-term memory (LSTM) for detection and classification of internal failures in CMI and distinguish them from malicious activities in PEDG. The proposed anomaly classification framework is a module in the primary control layer of inverters which can provide information for intrusion detection systems in a secondary control layer of PEDG for further analysis.
{"title":"Artificial Intelligence based Anomaly Detection and Classification for Grid-Interactive Cascaded Multilevel Inverters","authors":"Matthew Baker, Hassan Althuwaini, M. Shadmand","doi":"10.1109/SGRE53517.2022.9774169","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774169","url":null,"abstract":"The cascaded multi-level inverter (CMI) is becoming increasingly popular for wide range of applications in power electronics dominated grid (PEDG). The increased number of semiconductors devices in these class of power converters leads to an increased need for fault detection, isolation, and selfhealing. In addition, the PEDG’s cyber and physical layers are exposed to malicious attacks. These malicious actions, if not detected and classified in a timely manner, can cause catastrophic events in power grid. The inverters’ internal failures make the anomaly detection and classification in PEDG a challenging task. The main objective of this paper is to address this challenge by implementing a recurrent neural network (RNN), specifically utilizing long short-term memory (LSTM) for detection and classification of internal failures in CMI and distinguish them from malicious activities in PEDG. The proposed anomaly classification framework is a module in the primary control layer of inverters which can provide information for intrusion detection systems in a secondary control layer of PEDG for further analysis.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"2013 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87980519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774221
Ahmad N. Alkuwari, S. Al-Kuwari, M. Qaraqe
Smart grid is the next generation for power generation, consumption and distribution. However, with the introduction of smart communication in such sensitive components, major risks from cybersecurity perspective quickly emerged. This survey reviews and reports on the state-of-the-art techniques for detecting cyber attacks in smart grids, mainly through machine learning techniques.
{"title":"Anomaly Detection in Smart Grids: A Survey From Cybersecurity Perspective*","authors":"Ahmad N. Alkuwari, S. Al-Kuwari, M. Qaraqe","doi":"10.1109/SGRE53517.2022.9774221","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774221","url":null,"abstract":"Smart grid is the next generation for power generation, consumption and distribution. However, with the introduction of smart communication in such sensitive components, major risks from cybersecurity perspective quickly emerged. This survey reviews and reports on the state-of-the-art techniques for detecting cyber attacks in smart grids, mainly through machine learning techniques.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"1 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85542688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774159
B. Talbi, F. Krim, Abdelbaset Laib, Abdeslem Sahli, B. Babes
Recently, the application of model predictive control (MPC) in energy conversion systems has been extensively investigated both theoretically and experimentally. Different MPC techniques have been proposed to control multi-level inverters in grid-tied operation, permitting high performance and fast dynamic response. The optimization employed in MPC strategies is based on a cost function minimization, where control purposes are combined by using weighting factors. Nevertheless, the choice of weighting factors is attained through offline and online search approaches and they are heavily dependent on the system parameters. To overcome this drawback, an online tuning of weighting factor based on Sugeno-fuzzy approach in MPC for photovoltaic (PV) grid-tied system using PUC7 (Seven-level packed U-cell) inverter is suggested in this work. Simulation tests are presented to confirm the performance of the proposed control strategy.
{"title":"A Sugeno-Fuzzy Tuning Approach of Weighting Factor in Model Predictive Control for PV Grid-Tied PUC7 Multi-Level Inverter","authors":"B. Talbi, F. Krim, Abdelbaset Laib, Abdeslem Sahli, B. Babes","doi":"10.1109/SGRE53517.2022.9774159","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774159","url":null,"abstract":"Recently, the application of model predictive control (MPC) in energy conversion systems has been extensively investigated both theoretically and experimentally. Different MPC techniques have been proposed to control multi-level inverters in grid-tied operation, permitting high performance and fast dynamic response. The optimization employed in MPC strategies is based on a cost function minimization, where control purposes are combined by using weighting factors. Nevertheless, the choice of weighting factors is attained through offline and online search approaches and they are heavily dependent on the system parameters. To overcome this drawback, an online tuning of weighting factor based on Sugeno-fuzzy approach in MPC for photovoltaic (PV) grid-tied system using PUC7 (Seven-level packed U-cell) inverter is suggested in this work. Simulation tests are presented to confirm the performance of the proposed control strategy.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"36 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89482761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774054
N. Guler, Farzaneh Bagheri, S. Bayhan, H. Komurcugil
In this paper, a single-inductor buck-boost (SIBB)inverter-based transformerless dynamic voltage restorer (DVR) is proposed. Since the conventional inverters operate in buck mode, the input dc source voltage should be higher than the compensating voltage. Therefore, the voltage level of the input source is important for the conventional inverters. Contrary to the conventional inverters, SIBB inverters can be operated in a wide input voltage range. Therefore, the proposed SIBB based DVR eliminates the high dc voltage source necessity. The control of SIBB based transformerless DVR is achieved by the super twisting sliding mode control (SMC) method. The effectiveness of the proposed SIBB based transformerless DVR and control method is investigated by simulation studies. The results reveal that the voltage sag and swells in the grid voltage are successfully compensated by the proposed SIBB based transformerless DVR. Moreover, the voltage compensation capability is tested for a large variation in the input dc voltage. It is shown that the proposed SIBB based transformerless DVR successfully compensates voltage deviations in the grid voltage under both buck and boost modes.
{"title":"Single-Inductor Buck–Boost Inverter Based Transformerless Dynamic Voltage Restorer","authors":"N. Guler, Farzaneh Bagheri, S. Bayhan, H. Komurcugil","doi":"10.1109/SGRE53517.2022.9774054","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774054","url":null,"abstract":"In this paper, a single-inductor buck-boost (SIBB)inverter-based transformerless dynamic voltage restorer (DVR) is proposed. Since the conventional inverters operate in buck mode, the input dc source voltage should be higher than the compensating voltage. Therefore, the voltage level of the input source is important for the conventional inverters. Contrary to the conventional inverters, SIBB inverters can be operated in a wide input voltage range. Therefore, the proposed SIBB based DVR eliminates the high dc voltage source necessity. The control of SIBB based transformerless DVR is achieved by the super twisting sliding mode control (SMC) method. The effectiveness of the proposed SIBB based transformerless DVR and control method is investigated by simulation studies. The results reveal that the voltage sag and swells in the grid voltage are successfully compensated by the proposed SIBB based transformerless DVR. Moreover, the voltage compensation capability is tested for a large variation in the input dc voltage. It is shown that the proposed SIBB based transformerless DVR successfully compensates voltage deviations in the grid voltage under both buck and boost modes.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"6 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79085280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774064
Arobinda Dash, Utkal Ranjan Muduli, K. A. Jaafari, K. A. Hosani, A. Iqbal, R. Behera
In the distribution network, a distribution static compensator (DSTATCOM) is used to address issues such as reactive power control, harmonic suppression, and the balancing of grid-side current. This paper presents a cascaded enhanced second-order general integrator with a prefilter (CESOGI-WPF) control technique for DSTATCOM. In addition to the prevention of non-sinusoidal load currents, the proposed control approach allows for the extraction of the positive sequence and fundamental components from distorted grid voltages. Various loading scenarios, steady-state conditions, and dynamic conditions are examined to assess the performance of the proposed controller. Based on the results of this work, the existing controllers were compared with respect to their Total Harmonic Distortion (THD), steadystate error, and computational complexity. A prototype of the proposed control scheme has been validated experimentally in a laboratory setting. It has been observed that the % THD of the grid current is maintained according to IEEE-519 harmonic standard and that the grid-tied DSTATCOM is reliable under all load conditions.
{"title":"Harmonic Mitigation and DC Offset Rejection for Grid-tied DSTATCOM with CESOGI-WPF Control","authors":"Arobinda Dash, Utkal Ranjan Muduli, K. A. Jaafari, K. A. Hosani, A. Iqbal, R. Behera","doi":"10.1109/SGRE53517.2022.9774064","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774064","url":null,"abstract":"In the distribution network, a distribution static compensator (DSTATCOM) is used to address issues such as reactive power control, harmonic suppression, and the balancing of grid-side current. This paper presents a cascaded enhanced second-order general integrator with a prefilter (CESOGI-WPF) control technique for DSTATCOM. In addition to the prevention of non-sinusoidal load currents, the proposed control approach allows for the extraction of the positive sequence and fundamental components from distorted grid voltages. Various loading scenarios, steady-state conditions, and dynamic conditions are examined to assess the performance of the proposed controller. Based on the results of this work, the existing controllers were compared with respect to their Total Harmonic Distortion (THD), steadystate error, and computational complexity. A prototype of the proposed control scheme has been validated experimentally in a laboratory setting. It has been observed that the % THD of the grid current is maintained according to IEEE-519 harmonic standard and that the grid-tied DSTATCOM is reliable under all load conditions.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"17 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79659956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774212
Daud Mustafa Minhas, J. Meiers, Georg Frey
Photovoltaic (PV) and electric vehicle (EV) systems are gaining traction as a result of increased energy demands and the global imperative to provide affordable and sustainable energy. A small-scale home area power network (HAPN) is explored in this article, which integrates an intelligent energy management system (iEMS) using a cost-effective power scheduling approach. The purpose of this paper is to examine the proposed iEMS capabilities using real-world yearly data sets on residential energy consumption, electric vehicle driving trends, and electric vehicle battery (dis)charging patterns. Additionally, by integrating a battery life-cycle degradation model, a percentage of EV storage capacity loss is calculated. The comfort of consumers is ensured by matching their energy demands to the least expensive energy supplies. The simulation results illustrate the proposed iEMS behavior utilizing a variety of performance measures, and the ideal scheduling signals for a mix of energy sources are thus presented.
{"title":"A Rule-based Expert System for Home Power Management Incorporating Real-Life Data Sets","authors":"Daud Mustafa Minhas, J. Meiers, Georg Frey","doi":"10.1109/SGRE53517.2022.9774212","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774212","url":null,"abstract":"Photovoltaic (PV) and electric vehicle (EV) systems are gaining traction as a result of increased energy demands and the global imperative to provide affordable and sustainable energy. A small-scale home area power network (HAPN) is explored in this article, which integrates an intelligent energy management system (iEMS) using a cost-effective power scheduling approach. The purpose of this paper is to examine the proposed iEMS capabilities using real-world yearly data sets on residential energy consumption, electric vehicle driving trends, and electric vehicle battery (dis)charging patterns. Additionally, by integrating a battery life-cycle degradation model, a percentage of EV storage capacity loss is calculated. The comfort of consumers is ensured by matching their energy demands to the least expensive energy supplies. The simulation results illustrate the proposed iEMS behavior utilizing a variety of performance measures, and the ideal scheduling signals for a mix of energy sources are thus presented.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"31 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78407185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774202
Maged F. Bauomy, H. Gamal, A. Shaltout, S. Refaat
The paper presents a comprehensive study of the torsional and electromagnetic torques analysis for fixed speed wind energy system type-l when it is subjected to symmetrical and unsymmetrical faults. A detailed model is developed to simulate the dynamic behavior of the wind energy system elements which includes wind turbine, induction generator and drive train. This study is intended to analyze deeply the corresponding torques of the induction generator and a special attention is given to investigate the shaft torsional torque happened during the fault current. The simulation results show that there is a high negative impact appeared on the generator torque at the instant of fault followed by higher hazardous torsional shaft torques which may resulting a fatigue impact on the driving shaft.
{"title":"Torsional Torques Analysis in Wind Energy System under Symmetrical and Unsymmetrical Faults","authors":"Maged F. Bauomy, H. Gamal, A. Shaltout, S. Refaat","doi":"10.1109/SGRE53517.2022.9774202","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774202","url":null,"abstract":"The paper presents a comprehensive study of the torsional and electromagnetic torques analysis for fixed speed wind energy system type-l when it is subjected to symmetrical and unsymmetrical faults. A detailed model is developed to simulate the dynamic behavior of the wind energy system elements which includes wind turbine, induction generator and drive train. This study is intended to analyze deeply the corresponding torques of the induction generator and a special attention is given to investigate the shaft torsional torque happened during the fault current. The simulation results show that there is a high negative impact appeared on the generator torque at the instant of fault followed by higher hazardous torsional shaft torques which may resulting a fatigue impact on the driving shaft.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"56 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75901342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774167
Alper Çetin, Caner Ozen, A. Bayatmakoo, Kerim Kaya, Gokturk Poyrazoglu
Power quality (PQ) metrics deterioration occurs in the distribution system by increasing the distributed generation plants, the existence of non-linear and harmonic loads. As a distribution system operator running under the Turkishelectricity regulation, a battery investment was made to improve PQ metrics to provide quality electricity service to customers by focusing on Volt/VAr optimization to obtain voltage stability parameters. The reverse power flow caused by the distributed generation can be eliminated and the power factor would be improved with the reactive support with this investment. This study includes the reasons for the battery pilot project, the engineering methodology, and post-solution improvements.
{"title":"A Pilot Project for Power Quality Improvements in Distribution System by a Li-ion Battery","authors":"Alper Çetin, Caner Ozen, A. Bayatmakoo, Kerim Kaya, Gokturk Poyrazoglu","doi":"10.1109/SGRE53517.2022.9774167","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774167","url":null,"abstract":"Power quality (PQ) metrics deterioration occurs in the distribution system by increasing the distributed generation plants, the existence of non-linear and harmonic loads. As a distribution system operator running under the Turkishelectricity regulation, a battery investment was made to improve PQ metrics to provide quality electricity service to customers by focusing on Volt/VAr optimization to obtain voltage stability parameters. The reverse power flow caused by the distributed generation can be eliminated and the power factor would be improved with the reactive support with this investment. This study includes the reasons for the battery pilot project, the engineering methodology, and post-solution improvements.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"144 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76436425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774055
Kathleen Davies, I. S. Bayram, S. Galloway
Mainstream electric vehicle adoption (EV) is essen-tial to decarbonise the transportation sector. Car retail business needs to be transformed in many countries to meet legislative requirements that ban the sale of new petrol and diesel cars. To that end, this paper surveys the opportunities and challenges for car dealerships who could become key players in transport electrification. The challenges are identified as deploying charging infrastructure at business sites, keeping EV batteries healthy until they are sold, and lack of standards and protocols for chargers and communication systems. On the other hand, right investments could make car dealers main players in the energy markets. A number of opportunities, including providing ancillary services and public charging access, as well as reuse of old EV batteries, are discussed in detail. Such considerations are critical in this early stage of designing charging stations for the future of net-zero economies.
{"title":"Challenges and Opportunities for Car Retail Business in Electric Vehicle Charging Ecosystem","authors":"Kathleen Davies, I. S. Bayram, S. Galloway","doi":"10.1109/SGRE53517.2022.9774055","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774055","url":null,"abstract":"Mainstream electric vehicle adoption (EV) is essen-tial to decarbonise the transportation sector. Car retail business needs to be transformed in many countries to meet legislative requirements that ban the sale of new petrol and diesel cars. To that end, this paper surveys the opportunities and challenges for car dealerships who could become key players in transport electrification. The challenges are identified as deploying charging infrastructure at business sites, keeping EV batteries healthy until they are sold, and lack of standards and protocols for chargers and communication systems. On the other hand, right investments could make car dealers main players in the energy markets. A number of opportunities, including providing ancillary services and public charging access, as well as reuse of old EV batteries, are discussed in detail. Such considerations are critical in this early stage of designing charging stations for the future of net-zero economies.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"28 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75271711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774185
A. Blinov, A. Chub, D. Vinnikov, S. Bayhan
This paper presents an novel fast electric vehicle (EV) charger configuration suitable for direct medium voltage (MV) connection. The idea is based on the multi-cell boost (MCB) structure and shares its advantages in terms of modularity, low line inductor requirements, high-frequency isolation and good semiconductor utilization. However, instead of using a two-stage conversion approach, where each cell includes power factor correction (PFC) rectifier that is followed by isolated dc-dc converters, a single-sage approach is implemented. In this case both PFC and isolation functions are realized with a single cell based on isolated current source converters (CSCs). The topology structure and its possible configurations are presented, followed by some design considerations. Next, some of the possible CSC topologies suitable for the proposed single-stage MCB cell are described, followed by simulation and benchmarking of selected topologies.
{"title":"Single-Stage Series-Connected Isolated Converters for MVAC to DC Applications","authors":"A. Blinov, A. Chub, D. Vinnikov, S. Bayhan","doi":"10.1109/SGRE53517.2022.9774185","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774185","url":null,"abstract":"This paper presents an novel fast electric vehicle (EV) charger configuration suitable for direct medium voltage (MV) connection. The idea is based on the multi-cell boost (MCB) structure and shares its advantages in terms of modularity, low line inductor requirements, high-frequency isolation and good semiconductor utilization. However, instead of using a two-stage conversion approach, where each cell includes power factor correction (PFC) rectifier that is followed by isolated dc-dc converters, a single-sage approach is implemented. In this case both PFC and isolation functions are realized with a single cell based on isolated current source converters (CSCs). The topology structure and its possible configurations are presented, followed by some design considerations. Next, some of the possible CSC topologies suitable for the proposed single-stage MCB cell are described, followed by simulation and benchmarking of selected topologies.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"9 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77633706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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