Pub Date : 2024-04-17DOI: 10.1109/JESTIE.2024.3366080
{"title":"IEEE Industrial Electronics Society Information","authors":"","doi":"10.1109/JESTIE.2024.3366080","DOIUrl":"https://doi.org/10.1109/JESTIE.2024.3366080","url":null,"abstract":"","PeriodicalId":100620,"journal":{"name":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","volume":"5 2","pages":"C4-C4"},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10504376","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140606038","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 : 2024-04-17DOI: 10.1109/JESTIE.2024.3385331
{"title":"Call for Papers: Special Section on High sustainable electric drives for transportation electrification","authors":"","doi":"10.1109/JESTIE.2024.3385331","DOIUrl":"https://doi.org/10.1109/JESTIE.2024.3385331","url":null,"abstract":"","PeriodicalId":100620,"journal":{"name":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","volume":"5 2","pages":"802-802"},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10504143","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140606128","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 : 2024-04-17DOI: 10.1109/JESTIE.2024.3385330
{"title":"Call for Papers: Special Section on Grid-Forming Converter Dominated Power Systems","authors":"","doi":"10.1109/JESTIE.2024.3385330","DOIUrl":"https://doi.org/10.1109/JESTIE.2024.3385330","url":null,"abstract":"","PeriodicalId":100620,"journal":{"name":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","volume":"5 2","pages":"801-801"},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10504307","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140606188","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 : 2024-04-16DOI: 10.1109/JESTIE.2024.3389686
Georgios I. Orfanoudakis;Emmanouil Lioudakis;Georgios Foteinopoulos;Eftichios Koutroulis;Weimin Wu
Global maximum power point tracking (GMPPT) algorithms can extract the maximum available power from photovoltaic (PV) arrays even under partial shading conditions (PSCs). The existing GMPPT algorithms originate from computationally-intensive optimization (heuristic) or artificial intelligence concepts, which operate in discrete time steps and impose intense variations to the demanded PV array voltage/current. These result in undesirable disturbances, which increase the overall time required for the GMPPT process to complete and affect the quality of power injected to the grid. In this article, a new GMPPT method with low computational complexity is presented, which exploits the dynamic response of the PV system. The proposed GMPPT technique can track the GMPP in significantly less time when applied to PV inverters with high PV-side capacitances, guarantee convergence to the GMPP even under complex PSCs, while also avoiding the aforementioned disturbances. The performance of the proposed GMPPT method is evaluated using an experimental setup incorporating a 2-kW single-phase grid-tied transformerless PV inverter and a rooftop PV array. The experimental results show that it can identify the GMPP in approximately 1 s under various operating conditions, which is more than 95% faster than the power-voltage curve scanning and particle swarm optimization GMPPT algorithms.
{"title":"Dynamic Global Maximum Power Point Tracking for Partially Shaded PV Arrays in Grid-Connected PV Systems","authors":"Georgios I. Orfanoudakis;Emmanouil Lioudakis;Georgios Foteinopoulos;Eftichios Koutroulis;Weimin Wu","doi":"10.1109/JESTIE.2024.3389686","DOIUrl":"https://doi.org/10.1109/JESTIE.2024.3389686","url":null,"abstract":"Global maximum power point tracking (GMPPT) algorithms can extract the maximum available power from photovoltaic (PV) arrays even under partial shading conditions (PSCs). The existing GMPPT algorithms originate from computationally-intensive optimization (heuristic) or artificial intelligence concepts, which operate in discrete time steps and impose intense variations to the demanded PV array voltage/current. These result in undesirable disturbances, which increase the overall time required for the GMPPT process to complete and affect the quality of power injected to the grid. In this article, a new GMPPT method with low computational complexity is presented, which exploits the dynamic response of the PV system. The proposed GMPPT technique can track the GMPP in significantly less time when applied to PV inverters with high PV-side capacitances, guarantee convergence to the GMPP even under complex PSCs, while also avoiding the aforementioned disturbances. The performance of the proposed GMPPT method is evaluated using an experimental setup incorporating a 2-kW single-phase grid-tied transformerless PV inverter and a rooftop PV array. The experimental results show that it can identify the GMPP in approximately 1 s under various operating conditions, which is more than 95% faster than the power-voltage curve scanning and particle swarm optimization GMPPT algorithms.","PeriodicalId":100620,"journal":{"name":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","volume":"5 4","pages":"1481-1492"},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142438496","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 : 2024-04-16DOI: 10.1109/JESTIE.2024.3389293
Puli Rajanikanth;Vinay Kumar Thippiripati
The model predictive current control (MPCC) is the popular technique for five-phase permanent magnet synchronous motor (FP-PMSM) drives. However, the implementation of the MPCC algorithm is difficult for a five-phase two-level voltage source inverter fed PMSM drive due to more switching states and an increased number of calculations. The conventional MPCC (CMPCC) methods involve larger computations and limited control over third-order harmonics. To address these issues, an improved MPCC method is presented for the FP-PMSM drive using preselection of voltage vectors. In this scheme, from the previous sample voltage vector information, a five-voltage vector group is formed. One of the voltage vectors in the group is specially intended to reduce the harmonic currents. The five grouped vectors are used for predicting the stator currents and cost function optimization. The optimal voltage vector among these five vectors is determined and applied in the next sample period to achieve the control of currents and subsequently the torque and flux in fundamental and harmonic subspaces. The proposed scheme is experimentally verified to determine its efficacy in reducing flux ripple, torque ripple, and computational burden and compared the obtained results with the CMPCC schemes and other MPCC schemes reported in the literature recently.
{"title":"An Improved Model Predictive Current Control of Five-Phase PMSM Drive for Torque and Flux Ripple Alleviation","authors":"Puli Rajanikanth;Vinay Kumar Thippiripati","doi":"10.1109/JESTIE.2024.3389293","DOIUrl":"https://doi.org/10.1109/JESTIE.2024.3389293","url":null,"abstract":"The model predictive current control (MPCC) is the popular technique for five-phase permanent magnet synchronous motor (FP-PMSM) drives. However, the implementation of the MPCC algorithm is difficult for a five-phase two-level voltage source inverter fed PMSM drive due to more switching states and an increased number of calculations. The conventional MPCC (CMPCC) methods involve larger computations and limited control over third-order harmonics. To address these issues, an improved MPCC method is presented for the FP-PMSM drive using preselection of voltage vectors. In this scheme, from the previous sample voltage vector information, a five-voltage vector group is formed. One of the voltage vectors in the group is specially intended to reduce the harmonic currents. The five grouped vectors are used for predicting the stator currents and cost function optimization. The optimal voltage vector among these five vectors is determined and applied in the next sample period to achieve the control of currents and subsequently the torque and flux in fundamental and harmonic subspaces. The proposed scheme is experimentally verified to determine its efficacy in reducing flux ripple, torque ripple, and computational burden and compared the obtained results with the CMPCC schemes and other MPCC schemes reported in the literature recently.","PeriodicalId":100620,"journal":{"name":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","volume":"5 3","pages":"1273-1282"},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141583569","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 : 2024-04-11DOI: 10.1109/JESTIE.2024.3387694
MLN Vital;Venu Sonti;Sanjeevikumar Padmanaban;Sachin Jain
This article presents the analysis of common mode and terminal voltages by considering the effect of device junction capacitance in single-phase dc-decoupled transformerless PV inverter configuration. The common mode and terminal voltages (CMTVs) analysis considers device junction capacitance (DJC), inverter structure, and switching pattern. The generalized expression for CMTVs is derived considering DJC, inverter structure, and switching pattern. The inverter structure and pulsewidth modulation (PWM) technique can be modified or designed to minimize or eliminate the high-frequency switching transitions using the derived generalized expression of CMTVs. This further alleviates the common mode and leakage currents flowing through the parasitic capacitance of the PV inverter system. Furthermore, an improved PWM technique is also designed for the five-level cascaded multilevel inverter, which reduces the distortions in the inverter output current apart from alleviating the leakage current. This article presents a detailed analysis for the derivation of generalized expression using the given device junction capacitance-based switching function analysis. The derived expression is further validated using simulation and experimental results.
{"title":"Common Mode and Terminal Voltages With Effect of Device Junction Capacitance in Five-Level Transformerless PV Inverter","authors":"MLN Vital;Venu Sonti;Sanjeevikumar Padmanaban;Sachin Jain","doi":"10.1109/JESTIE.2024.3387694","DOIUrl":"https://doi.org/10.1109/JESTIE.2024.3387694","url":null,"abstract":"This article presents the analysis of common mode and terminal voltages by considering the effect of device junction capacitance in single-phase dc-decoupled transformerless PV inverter configuration. The common mode and terminal voltages (CMTVs) analysis considers device junction capacitance (DJC), inverter structure, and switching pattern. The generalized expression for CMTVs is derived considering DJC, inverter structure, and switching pattern. The inverter structure and pulsewidth modulation (PWM) technique can be modified or designed to minimize or eliminate the high-frequency switching transitions using the derived generalized expression of CMTVs. This further alleviates the common mode and leakage currents flowing through the parasitic capacitance of the PV inverter system. Furthermore, an improved PWM technique is also designed for the five-level cascaded multilevel inverter, which reduces the distortions in the inverter output current apart from alleviating the leakage current. This article presents a detailed analysis for the derivation of generalized expression using the given device junction capacitance-based switching function analysis. The derived expression is further validated using simulation and experimental results.","PeriodicalId":100620,"journal":{"name":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","volume":"5 4","pages":"1634-1643"},"PeriodicalIF":0.0,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142434603","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 : 2024-04-09DOI: 10.1109/JESTIE.2024.3386555
Liqing Liao;Bo Yuan;Guangfu Ning;Wenjing Xiong;Mei Su
In this article, a high voltage gain dc–dc converter is proposed for renewable power generation applications. The proposed converter includes a former step-up unit and z