Pub Date : 2024-10-04DOI: 10.1109/TLA.2024.10706024
Walter Paschoal;Igor Souza;Lucas Torres;Andre Murilo Pinto;Renan Ozelo
Automotive tires are crucial in vehicle dynamics, generating essential forces between the pavement and the vehicle. Active safety systems like Electronic Stability Control (ESC) rely on accurate tire force models. This paper presents a comparative analysis of the Pacejka Magic Formula (reference model), the brush model, and a proposed gain-saturation model using a single-track (bicycle) model with three degrees of freedom to evaluate lateral dynamics. Simulations conducted with a 14 Degree-of-Freedom (DOF) vehicle in VI-CarRealTime (VI-CRT) and analyzed in MATLAB revealed a significant correlation between simpler models and the benchmark reference for most relevant lateral vehicle dynamic variables, highlighting their capabilities and limitations through transient and stationary maneuvers. Simulation scenarios of the closed-loop ESC control system with the proposed tire models were carried out in real-time automotive software to compare performance with ESC homologation maneuver.
{"title":"Comparative Study of Tire Models Applied to Electronic Stability Control in Automotive Simulator","authors":"Walter Paschoal;Igor Souza;Lucas Torres;Andre Murilo Pinto;Renan Ozelo","doi":"10.1109/TLA.2024.10706024","DOIUrl":"https://doi.org/10.1109/TLA.2024.10706024","url":null,"abstract":"Automotive tires are crucial in vehicle dynamics, generating essential forces between the pavement and the vehicle. Active safety systems like Electronic Stability Control (ESC) rely on accurate tire force models. This paper presents a comparative analysis of the Pacejka Magic Formula (reference model), the brush model, and a proposed gain-saturation model using a single-track (bicycle) model with three degrees of freedom to evaluate lateral dynamics. Simulations conducted with a 14 Degree-of-Freedom (DOF) vehicle in VI-CarRealTime (VI-CRT) and analyzed in MATLAB revealed a significant correlation between simpler models and the benchmark reference for most relevant lateral vehicle dynamic variables, highlighting their capabilities and limitations through transient and stationary maneuvers. Simulation scenarios of the closed-loop ESC control system with the proposed tire models were carried out in real-time automotive software to compare performance with ESC homologation maneuver.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10706024","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142376534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-10DOI: 10.1109/TLA.2024.10669254
Victor Hugo de Souza Ragazzi;Alexandre Gomes Caldeira;Patrícia Nogueira Vaz;Felipe Antunes;Leonardo Bonato Felix
It is common to use sequential testing strategies to help reduce the time of automated detection of an auditory steady-state response (ASSR). However, the application of repeated tests leads to an increase of false positive rate. Monte Carlo-based strategies are used to overcome this obstacle. Despite several paper could be found describing such strategies, no comprehensive comparison was found in the literature. The chosen strategies are based on Monte Carlo simulations to calculate critical values and were faithfully replicated for comparison purposes, and then the test application parameters were varied to suggest an optimization. The detection rate and/or the detection speed improved with each implemented strategy, except for the one related to the year 2013, which increased the false positive rate to 15.3%. The other strategies kept the false positive rate under control. The Pareto curves compared the optimizations of the strategies and revealed that the modified 2015 strategy had the performance achieving 5.6% higher than the original parameters. The automated detection of ASSR improved with each implemented strategy, but not all of them kept a controlled false positive rate (2013 and 2015). The 2015 modified strategy had the highest detection rate in the shortest time.
{"title":"Comparison of sequential test strategies based on Monte Carlo simulations in the detection of auditory steady-state responses","authors":"Victor Hugo de Souza Ragazzi;Alexandre Gomes Caldeira;Patrícia Nogueira Vaz;Felipe Antunes;Leonardo Bonato Felix","doi":"10.1109/TLA.2024.10669254","DOIUrl":"https://doi.org/10.1109/TLA.2024.10669254","url":null,"abstract":"It is common to use sequential testing strategies to help reduce the time of automated detection of an auditory steady-state response (ASSR). However, the application of repeated tests leads to an increase of false positive rate. Monte Carlo-based strategies are used to overcome this obstacle. Despite several paper could be found describing such strategies, no comprehensive comparison was found in the literature. The chosen strategies are based on Monte Carlo simulations to calculate critical values and were faithfully replicated for comparison purposes, and then the test application parameters were varied to suggest an optimization. The detection rate and/or the detection speed improved with each implemented strategy, except for the one related to the year 2013, which increased the false positive rate to 15.3%. The other strategies kept the false positive rate under control. The Pareto curves compared the optimizations of the strategies and revealed that the modified 2015 strategy had the performance achieving 5.6% higher than the original parameters. The automated detection of ASSR improved with each implemented strategy, but not all of them kept a controlled false positive rate (2013 and 2015). The 2015 modified strategy had the highest detection rate in the shortest time.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10669254","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142165019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Given the pressing demand for energy conservation, the petrochemical sector faces increasingly stringent energy-saving mandates. Heat exchangers, essential to this sector, suffer efficiency losses and increased energy consumption due to fouling. To ensure optimal operation of heat exchange systems, regular assessment of solid deposits and the implementation of cleaning schedules are imperative. However, the multitude of influencing factors renders traditional estimation methods unreliable. Consequently, we developed a stacking model to predict the fouling factor of heat exchangers. Specifically, we first constructed fouling factor prediction models using various machine learning techniques, then selected the best-performing models random forest, extreme gradient boosting , and light gradient boosting machine for integration. Finally, the predictions from these three models were fed into a linear regression layer to form the final stacking model. The results indicate that the constructed stacking model significantly enhances the accuracy of fouling factor prediction. This model not only surpasses traditional multilayer perceptron neural network methods but also outperforms the well-performing gaussian process regression. This achievement not only validates the effectiveness of our model but also provides robust support for future research and applications in related fields.
{"title":"A prediction model for heat exchanger fouling factor based on stacking model","authors":"Zhiping Chen;Yongle Meng;Haoshan Yu;Ruiqi Wang;Wenwu Zhou","doi":"10.1109/TLA.2024.10670205","DOIUrl":"https://doi.org/10.1109/TLA.2024.10670205","url":null,"abstract":"Given the pressing demand for energy conservation, the petrochemical sector faces increasingly stringent energy-saving mandates. Heat exchangers, essential to this sector, suffer efficiency losses and increased energy consumption due to fouling. To ensure optimal operation of heat exchange systems, regular assessment of solid deposits and the implementation of cleaning schedules are imperative. However, the multitude of influencing factors renders traditional estimation methods unreliable. Consequently, we developed a stacking model to predict the fouling factor of heat exchangers. Specifically, we first constructed fouling factor prediction models using various machine learning techniques, then selected the best-performing models random forest, extreme gradient boosting , and light gradient boosting machine for integration. Finally, the predictions from these three models were fed into a linear regression layer to form the final stacking model. The results indicate that the constructed stacking model significantly enhances the accuracy of fouling factor prediction. This model not only surpasses traditional multilayer perceptron neural network methods but also outperforms the well-performing gaussian process regression. This achievement not only validates the effectiveness of our model but also provides robust support for future research and applications in related fields.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10670205","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142165018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The primary concern of this article is to stabilize the rotating speed of the permanent magnet DC (PMDC) motor driven by a DC-DC sepic converter under mismatched disturbances via higher order PID sliding surface (PIDSS) controller. This controller offers numerous benefits, including robustness, enhanced control performance, flexibility, simple implementation, and low cost. An algorithm for the above-said control is developed for the load torques such as: no-load, constant, frictional, and propeller types. Further, the features of PIDSS are compared with classical sliding surface, sliding mode control (SMC) and proportional integral controller (PIC) by taking into consideration of peak overshoot, steady-state error and settling time. Simulation and experimental results are obtained satisfactorily.
{"title":"Performance enhancement of permanent magnet DC motor with sepic converter through higher order sliding surface","authors":"Dhanasekar Ravikumar;Ganesh Kumar Srinivasan;Marco Rivera","doi":"10.1109/TLA.2024.10670234","DOIUrl":"https://doi.org/10.1109/TLA.2024.10670234","url":null,"abstract":"The primary concern of this article is to stabilize the rotating speed of the permanent magnet DC (PMDC) motor driven by a DC-DC sepic converter under mismatched disturbances via higher order PID sliding surface (PIDSS) controller. This controller offers numerous benefits, including robustness, enhanced control performance, flexibility, simple implementation, and low cost. An algorithm for the above-said control is developed for the load torques such as: no-load, constant, frictional, and propeller types. Further, the features of PIDSS are compared with classical sliding surface, sliding mode control (SMC) and proportional integral controller (PIC) by taking into consideration of peak overshoot, steady-state error and settling time. Simulation and experimental results are obtained satisfactorily.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10670234","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142159799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-06DOI: 10.1109/TLA.2024.10669249
Breno Bezerra Freitas;Bruno Rodrigues Alves Bezerra;Carlos Alberto Teixeira Júnior;Celso Florindo de Oliveira Júnior;Dionízio Porfírio de Assis;Edvaldo de Sousa Queiroz Filho;Felipe Teles do Nascimento;Fernando Weslley Silva de Oliveira;Gabryel Ferreira Alves;João Victor Teixeira Alves;Marcos Felipe de Andrade Silva;Milton Cezar da Silva;Monilson de Sales Costa;Otacilio José de Macêdo Nunes;Paulo Cesar Marques de Carvalho;Rebeca Catunda Pereira
Photovoltaic (PV) generation has emerged as an alternative for reducing environmental impacts. Recently, floating photovoltaic (FPV) configurations have gained popularity, utilizing the water surface of reservoirs as installation sites. Recognizing its potential, this paper proposes a methodology to harness the idle capacity of substation facilities in hydroelectric power plants (HPP) for sizing FPV plants, aiming for the maximal utilization of the substation's capacity and promoting complementarity with HPP generation. The study introduces a sizing proposal for FPV based on complementarity with the worst day of HPP generation within a defined period, aiming to utilize 100% of the substation's capacity. As a case study, the FPV potential is identified as 59.81 GWp for Belo Monte and 55.35 GWp for Itaipu. This approach seeks to enhance the overall efficiency and sustainability of power generation systems by integrating FPV with existing hydroelectric infrastructure.
{"title":"Methodology Using Idle Capacity of Hydroelectric Substations for Sizing Floating Photovoltaic Plants","authors":"Breno Bezerra Freitas;Bruno Rodrigues Alves Bezerra;Carlos Alberto Teixeira Júnior;Celso Florindo de Oliveira Júnior;Dionízio Porfírio de Assis;Edvaldo de Sousa Queiroz Filho;Felipe Teles do Nascimento;Fernando Weslley Silva de Oliveira;Gabryel Ferreira Alves;João Victor Teixeira Alves;Marcos Felipe de Andrade Silva;Milton Cezar da Silva;Monilson de Sales Costa;Otacilio José de Macêdo Nunes;Paulo Cesar Marques de Carvalho;Rebeca Catunda Pereira","doi":"10.1109/TLA.2024.10669249","DOIUrl":"https://doi.org/10.1109/TLA.2024.10669249","url":null,"abstract":"Photovoltaic (PV) generation has emerged as an alternative for reducing environmental impacts. Recently, floating photovoltaic (FPV) configurations have gained popularity, utilizing the water surface of reservoirs as installation sites. Recognizing its potential, this paper proposes a methodology to harness the idle capacity of substation facilities in hydroelectric power plants (HPP) for sizing FPV plants, aiming for the maximal utilization of the substation's capacity and promoting complementarity with HPP generation. The study introduces a sizing proposal for FPV based on complementarity with the worst day of HPP generation within a defined period, aiming to utilize 100% of the substation's capacity. As a case study, the FPV potential is identified as 59.81 GWp for Belo Monte and 55.35 GWp for Itaipu. This approach seeks to enhance the overall efficiency and sustainability of power generation systems by integrating FPV with existing hydroelectric infrastructure.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10669249","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142143721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-06DOI: 10.1109/TLA.2024.10669252
Ivo Benitez Cattani;Enrique Chaparro;Benjamin Baran
Distribution systems are increasingly experiencing the penetration of photovoltaic (PV) systems. Although PV penetration is beneficial up to a point, beyond that point, it begins to generate issues related to voltage levels and grid stability. In modern distribution system planning, it is essential to identify an optimal operational point where the integration of PV supports the voltage profile rather than causing any adverse effects. The purpose of this paper is to explore and evaluate strategies to enhance Hosting Capacity and reduce Power Losses in distribution systems through an optimization algorithm that iteratively uses power-flow simulations and a Multi-Objective Genetic Algorithm. Different strategies taking advantage of conventional distribution system assets are formulated to avoid new system reinforcement. The strategies include Network Reconfiguration, Capacitor Switching, On-Load Tap Changer Switching, Volt-VAR Control Settings and the Combination of all strategies. To evaluate the efficiency of each approach, a comprehensive simulation study is conducted on the IEEE 123 bus distribution system modeled in OpenDSS, with an algorithm created in Python to control the optimization process.
{"title":"Assessment and Simulation of Strategies to Enhance Hosting Capacity and Reduce Power Losses in Distribution Networks","authors":"Ivo Benitez Cattani;Enrique Chaparro;Benjamin Baran","doi":"10.1109/TLA.2024.10669252","DOIUrl":"https://doi.org/10.1109/TLA.2024.10669252","url":null,"abstract":"Distribution systems are increasingly experiencing the penetration of photovoltaic (PV) systems. Although PV penetration is beneficial up to a point, beyond that point, it begins to generate issues related to voltage levels and grid stability. In modern distribution system planning, it is essential to identify an optimal operational point where the integration of PV supports the voltage profile rather than causing any adverse effects. The purpose of this paper is to explore and evaluate strategies to enhance Hosting Capacity and reduce Power Losses in distribution systems through an optimization algorithm that iteratively uses power-flow simulations and a Multi-Objective Genetic Algorithm. Different strategies taking advantage of conventional distribution system assets are formulated to avoid new system reinforcement. The strategies include Network Reconfiguration, Capacitor Switching, On-Load Tap Changer Switching, Volt-VAR Control Settings and the Combination of all strategies. To evaluate the efficiency of each approach, a comprehensive simulation study is conducted on the IEEE 123 bus distribution system modeled in OpenDSS, with an algorithm created in Python to control the optimization process.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10669252","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142143585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-06DOI: 10.1109/TLA.2024.10669246
Paulo Henrique Ponte de Lucena;Lidio Mauro Lima de Campos;Jonathan Cris Pinheiro Garcia
Obesity is a complex chronic disease resulting from the interaction of multiple behavioral factors. This paper presentsthe application of Machine Learning to identify the primary groups of behaviors contributing to the development of obesity.Supervised machine learning emphasizes decision trees and deep artificial neural networks from datasets. The study also references related work that utilizes predictive methods to estimate obesity levels based on physical activity and dietary habits. Furthermore,it compares the performance of classification algorithms such as J48, Naive Bayes, Multiclass Classification, Multilayer Perceptron, KNN, and decision trees when predicting diabetes cases. The objective is to analyze different tools in the assessment based on physical activity and dietary habits, contributing to the improvement of obesity risk diagnosis. In addition, MLP and J48 demonstrated strong performance among all the algorithms, but BPTT achieved the highest overall performance.
{"title":"Predictive Performance of Machine Learning Algorithms Regarding Obesity Levels Based on Physical Activity and Nutritional Habits: A Comprehensive Analysis","authors":"Paulo Henrique Ponte de Lucena;Lidio Mauro Lima de Campos;Jonathan Cris Pinheiro Garcia","doi":"10.1109/TLA.2024.10669246","DOIUrl":"https://doi.org/10.1109/TLA.2024.10669246","url":null,"abstract":"Obesity is a complex chronic disease resulting from the interaction of multiple behavioral factors. This paper presentsthe application of Machine Learning to identify the primary groups of behaviors contributing to the development of obesity.Supervised machine learning emphasizes decision trees and deep artificial neural networks from datasets. The study also references related work that utilizes predictive methods to estimate obesity levels based on physical activity and dietary habits. Furthermore,it compares the performance of classification algorithms such as J48, Naive Bayes, Multiclass Classification, Multilayer Perceptron, KNN, and decision trees when predicting diabetes cases. The objective is to analyze different tools in the assessment based on physical activity and dietary habits, contributing to the improvement of obesity risk diagnosis. In addition, MLP and J48 demonstrated strong performance among all the algorithms, but BPTT achieved the highest overall performance.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142143845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-06DOI: 10.1109/TLA.2024.10669245
Mateus Coelho Silva;Alcides Castro e Silva;Marcos T. D. Orlando;Vinicius D. N. Bezzon
The amorphous drug structure represents an important feature to be reached in the pharmaceutical field due to its possibility of increasing drug solubility, considering that at least 40% of commercially available crystalline drugs are poorly soluble in water. However, it is known that the amorphous local structure can vary depending on the amorphization technique used. Therefore, recognizing such variations related to a specific amorphization technique through the pair distribution function (PDF) method, for example, is an important tool for drug characterization concerns. This work presents a method to classify amorphous drugs according to their amorphization techniques and related to the local structure variations using machine learning. We used experimental PDF patterns obtained from low-energy X-rays scattering data to extract information and expanded the data through the Monte Carlo method to create a synthetic dataset. Then, we proposed the evaluation of such a technique using a Deep Neural Network. Based on the results obtained, it is suggested that the proposed technique is suitable for the amorphization technique and local structure recognition task.
考虑到至少 40% 的市售结晶药物在水中的溶解度很低，无定形药物结构是制药领域需要达到的一个重要特征，因为它有可能提高药物的溶解度。然而，众所周知，无定形局部结构会因所用的非晶化技术而变化。因此，通过对分布函数（PDF）方法等识别与特定非晶化技术相关的这种变化，是药物表征方面的一个重要工具。本研究提出了一种根据非晶化技术对非晶药物进行分类的方法，并利用机器学习对与局部结构变化相关的非晶化技术进行分类。我们利用从低能 X 射线散射数据中获得的实验 PDF 模式来提取信息，并通过蒙特卡罗方法对数据进行扩展，从而创建了一个合成数据集。然后，我们提出使用深度神经网络对这种技术进行评估。根据所获得的结果，我们认为所提出的技术适用于非晶化技术和局部结构识别任务。
{"title":"Towards a Machine-Learning-Based Application for Amorphous Drug Recognition","authors":"Mateus Coelho Silva;Alcides Castro e Silva;Marcos T. D. Orlando;Vinicius D. N. Bezzon","doi":"10.1109/TLA.2024.10669245","DOIUrl":"https://doi.org/10.1109/TLA.2024.10669245","url":null,"abstract":"The amorphous drug structure represents an important feature to be reached in the pharmaceutical field due to its possibility of increasing drug solubility, considering that at least 40% of commercially available crystalline drugs are poorly soluble in water. However, it is known that the amorphous local structure can vary depending on the amorphization technique used. Therefore, recognizing such variations related to a specific amorphization technique through the pair distribution function (PDF) method, for example, is an important tool for drug characterization concerns. This work presents a method to classify amorphous drugs according to their amorphization techniques and related to the local structure variations using machine learning. We used experimental PDF patterns obtained from low-energy X-rays scattering data to extract information and expanded the data through the Monte Carlo method to create a synthetic dataset. Then, we proposed the evaluation of such a technique using a Deep Neural Network. Based on the results obtained, it is suggested that the proposed technique is suitable for the amorphization technique and local structure recognition task.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10669245","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142143673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-06DOI: 10.1109/TLA.2024.10669358
Filipe Ramos;Jose Neto;Fabio Almeida;Silvia Velázquez;Bruno Lima
The National Institute of Metrology, Quality and Technology (Instituto Nacional de Metrologia, Qualidade e Tecnologia - INMETRO) introduces that, starting in 2024, all photovoltaic (PV) inverters sold in the Brazilian market must incorporate an Arc-Fault Circuit Interrupt (AFCI) function into their systems. These inverters are required to comply with the IEC 63027:2023 (Photovoltaic power systems DC arc detection and interruption) standard. Considering this, the Electrical Engineering Laboratory at Mackenzie Presbyterian University (Universidade Presbiteriana Mackenzie UPM) conducted a series of arc-faults tests on three inverters available in the market, following the IEC 63027 standard. Each of the three inverters underwent a total of 32 arcs, considering number of Maximum Power Point Tracking (MPPT) ports, different impedance topologies, arc position in the PV system, and maximum values of voltage and current. The experiments revealed that two of the three inverters are not capable of meeting the international standard for detecting and interrupting series arc-faults, highlighting the need evaluation of PV inverter sold in the Brazilian market. During the analysis, it was noted that for certain parameters proposed by IEC 63027, there is a gap of information regarding evaluation of the data relating to arc self-extinguish or actual AFCI intervention. It is show that this scenario can raise a concern: the possibility exists for an inverter meet the international standard without implementing an effective AFCI technology. The 96 tests conducted were compared in terms of arc detection time and arc energy. The data were analyzed and compared with respect to the phenomena of arc self-extinguishing and the operation of the AFCI. Suggestions for enhancements to the IEC 63027 standard were provided
{"title":"Compliance Analysis of Series Arc-fault in AFCI- Equipped Inverters in Accordance with IEC 63027","authors":"Filipe Ramos;Jose Neto;Fabio Almeida;Silvia Velázquez;Bruno Lima","doi":"10.1109/TLA.2024.10669358","DOIUrl":"https://doi.org/10.1109/TLA.2024.10669358","url":null,"abstract":"The National Institute of Metrology, Quality and Technology (Instituto Nacional de Metrologia, Qualidade e Tecnologia - INMETRO) introduces that, starting in 2024, all photovoltaic (PV) inverters sold in the Brazilian market must incorporate an Arc-Fault Circuit Interrupt (AFCI) function into their systems. These inverters are required to comply with the IEC 63027:2023 (Photovoltaic power systems DC arc detection and interruption) standard. Considering this, the Electrical Engineering Laboratory at Mackenzie Presbyterian University (Universidade Presbiteriana Mackenzie UPM) conducted a series of arc-faults tests on three inverters available in the market, following the IEC 63027 standard. Each of the three inverters underwent a total of 32 arcs, considering number of Maximum Power Point Tracking (MPPT) ports, different impedance topologies, arc position in the PV system, and maximum values of voltage and current. The experiments revealed that two of the three inverters are not capable of meeting the international standard for detecting and interrupting series arc-faults, highlighting the need evaluation of PV inverter sold in the Brazilian market. During the analysis, it was noted that for certain parameters proposed by IEC 63027, there is a gap of information regarding evaluation of the data relating to arc self-extinguish or actual AFCI intervention. It is show that this scenario can raise a concern: the possibility exists for an inverter meet the international standard without implementing an effective AFCI technology. The 96 tests conducted were compared in terms of arc detection time and arc energy. The data were analyzed and compared with respect to the phenomena of arc self-extinguishing and the operation of the AFCI. Suggestions for enhancements to the IEC 63027 standard were provided","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10669358","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142143660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-06DOI: 10.1109/TLA.2024.10669250
{"title":"Table of Contents September 2024","authors":"","doi":"10.1109/TLA.2024.10669250","DOIUrl":"https://doi.org/10.1109/TLA.2024.10669250","url":null,"abstract":"","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10669250","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142143674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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