Pub Date : 2021-11-24DOI: 10.1109/urucon53396.2021.9647195
Diego G. Almeida, T. R. Ricciardi, F. Trindade
Due to the increased installation of rooftop PV generators in electric power distribution systems and the intrinsic uncertainties, impact studies require probabilistic methods such as Monte Carlo simulation. An important uncertainty of the Monte Carlo simulation involving rooftop PV systems is the local of installation. Considering all the customer units from the utility database with equal probability for receiving a rooftop PV generator provides unrealistic results. For instance, customers of a building should not receive the same treatment as houses. In this context, to allow more realistic studies, this work presents a methodology for selecting the most probable customer units to install rooftop PV generators considering net metering tariff. The methodology consists of reading a real complete database of a distribution utility, sizing the rooftop PV generators, filtering the customer units with the highest potential to receive a PV generator, and creating the scenarios for the Monte Carlo study. At the end, computational simulations using OpenDSS are carried out in two real distribution networks to illustrate the application of the method.
{"title":"Methodology for the Creation of More Realistic Scenarios of Rooftop PVs Allocation in Monte Carlo Studies","authors":"Diego G. Almeida, T. R. Ricciardi, F. Trindade","doi":"10.1109/urucon53396.2021.9647195","DOIUrl":"https://doi.org/10.1109/urucon53396.2021.9647195","url":null,"abstract":"Due to the increased installation of rooftop PV generators in electric power distribution systems and the intrinsic uncertainties, impact studies require probabilistic methods such as Monte Carlo simulation. An important uncertainty of the Monte Carlo simulation involving rooftop PV systems is the local of installation. Considering all the customer units from the utility database with equal probability for receiving a rooftop PV generator provides unrealistic results. For instance, customers of a building should not receive the same treatment as houses. In this context, to allow more realistic studies, this work presents a methodology for selecting the most probable customer units to install rooftop PV generators considering net metering tariff. The methodology consists of reading a real complete database of a distribution utility, sizing the rooftop PV generators, filtering the customer units with the highest potential to receive a PV generator, and creating the scenarios for the Monte Carlo study. At the end, computational simulations using OpenDSS are carried out in two real distribution networks to illustrate the application of the method.","PeriodicalId":337257,"journal":{"name":"2021 IEEE URUCON","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124221710","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 : 2021-11-24DOI: 10.1109/urucon53396.2021.9647221
A. Viveros, Fabio López-Pires
The enormous growth in the use of Cloud Service Providers (CSPs) leads to an increasing consideration of the optimization of Virtual Machine Placement (VMP) to host services for clients. This work aims to study VMP resolution algorithms in cloud datacenters with high resource utilization and CPU-intensive requested VMs for economical revenue maximization. Experiments were carried out in 64 different experimental scenarios. From the four evaluated algorithms in the experimental results, it can be seen that A1 offers the best results considering a centralized decision approach, First-Fit for the iVMP phase, Memetic Algorithm (MA) for the VMPr phase, prediction-based method for VMPr Triggering and update-based method for VMPr recovering. A1 slightly outperforms the other algorithms that also perform well for the analyzed scenarios considering average, maximum and minimum objective function evaluation metrics.
{"title":"Placement of CPU-Intensive Virtual Machines in High Resource Utilization Cloud Datacenters. An Economical Revenue Maximization Analysis","authors":"A. Viveros, Fabio López-Pires","doi":"10.1109/urucon53396.2021.9647221","DOIUrl":"https://doi.org/10.1109/urucon53396.2021.9647221","url":null,"abstract":"The enormous growth in the use of Cloud Service Providers (CSPs) leads to an increasing consideration of the optimization of Virtual Machine Placement (VMP) to host services for clients. This work aims to study VMP resolution algorithms in cloud datacenters with high resource utilization and CPU-intensive requested VMs for economical revenue maximization. Experiments were carried out in 64 different experimental scenarios. From the four evaluated algorithms in the experimental results, it can be seen that A1 offers the best results considering a centralized decision approach, First-Fit for the iVMP phase, Memetic Algorithm (MA) for the VMPr phase, prediction-based method for VMPr Triggering and update-based method for VMPr recovering. A1 slightly outperforms the other algorithms that also perform well for the analyzed scenarios considering average, maximum and minimum objective function evaluation metrics.","PeriodicalId":337257,"journal":{"name":"2021 IEEE URUCON","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115580016","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 : 2021-11-24DOI: 10.1109/urucon53396.2021.9647095
Mariano M. Perdomo, Ulises Manassero, J. R. Vega
Actualmente, el transporte es uno de los principales responsables de las emisiones de gases de efecto invernadero. La movilidad eléctrica surge como una opción sustentable propiciando la disminución del consumo energético y la emisión de gases contaminantes. Algunos estudios proyectan un incremento del uso de vehículos eléctricos, abriendo interrogantes sobre cómo se dará la integración de esta nueva demanda y qué efectos generará en las redes eléctricas. El presente trabajo tiene como principales objetivos: (i) evaluar el nivel de penetración de vehículos eléctricos de usuarios residenciales para distintos modos de carga domiciliaria según restricciones de variables de operación de la red; y (ii) proponer estrategias de recarga controlada y de la función dual de carga y aporte de energía a la red de los vehículos a través de sus baterías de almacenamiento. La red en análisis está compuesta por el sistema eléctrico de 13,2 kV de distribución primaria de la ciudad de Santo Tomé (provincia de Santa Fe). Los resultados obtenidos muestran que una gestión de la recarga de los vehículos eléctricos permite disminuir los impactos negativos en la red de estudio posibilitando mayores niveles de inserción y/o retrasando inversiones en infraestructura eléctrica. Un modo de operación con aporte de energía de la flota hacia la red permitiría desplazar generación de punta altamente contaminante. Además, con este modo de operación el sistema es más susceptible a operar fuera de los rangos admisibles.
{"title":"Gestión de la Recarga de Vehículos Eléctricos y su Impacto sobre la Red de Distribución","authors":"Mariano M. Perdomo, Ulises Manassero, J. R. Vega","doi":"10.1109/urucon53396.2021.9647095","DOIUrl":"https://doi.org/10.1109/urucon53396.2021.9647095","url":null,"abstract":"Actualmente, el transporte es uno de los principales responsables de las emisiones de gases de efecto invernadero. La movilidad eléctrica surge como una opción sustentable propiciando la disminución del consumo energético y la emisión de gases contaminantes. Algunos estudios proyectan un incremento del uso de vehículos eléctricos, abriendo interrogantes sobre cómo se dará la integración de esta nueva demanda y qué efectos generará en las redes eléctricas. El presente trabajo tiene como principales objetivos: (i) evaluar el nivel de penetración de vehículos eléctricos de usuarios residenciales para distintos modos de carga domiciliaria según restricciones de variables de operación de la red; y (ii) proponer estrategias de recarga controlada y de la función dual de carga y aporte de energía a la red de los vehículos a través de sus baterías de almacenamiento. La red en análisis está compuesta por el sistema eléctrico de 13,2 kV de distribución primaria de la ciudad de Santo Tomé (provincia de Santa Fe). Los resultados obtenidos muestran que una gestión de la recarga de los vehículos eléctricos permite disminuir los impactos negativos en la red de estudio posibilitando mayores niveles de inserción y/o retrasando inversiones en infraestructura eléctrica. Un modo de operación con aporte de energía de la flota hacia la red permitiría desplazar generación de punta altamente contaminante. Además, con este modo de operación el sistema es más susceptible a operar fuera de los rangos admisibles.","PeriodicalId":337257,"journal":{"name":"2021 IEEE URUCON","volume":" 14","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132075632","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 : 2021-11-24DOI: 10.1109/urucon53396.2021.9647384
D. Vallejo, R. Chaer
In this work, the training of a set of Mixture Density Networks (MDNs) type of Neural Networks (NNs) is presented. This set of networks is used to forecast the power generated by a wind farm in Uruguay. The advantages and challenges of using a MDN per hour-month against a single MDN are discussed.
{"title":"Mixture Density Networks per hour-month applied to wind power generation forecast","authors":"D. Vallejo, R. Chaer","doi":"10.1109/urucon53396.2021.9647384","DOIUrl":"https://doi.org/10.1109/urucon53396.2021.9647384","url":null,"abstract":"In this work, the training of a set of Mixture Density Networks (MDNs) type of Neural Networks (NNs) is presented. This set of networks is used to forecast the power generated by a wind farm in Uruguay. The advantages and challenges of using a MDN per hour-month against a single MDN are discussed.","PeriodicalId":337257,"journal":{"name":"2021 IEEE URUCON","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132099857","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 : 2021-11-24DOI: 10.1109/urucon53396.2021.9647426
Lorena Di Chiara, Federico Ferres, Felipe Bastarrica
Electric vehicle deployment globally has grown exponentially during the past decade due to climate change goals, efficiency improvements and cost reductions, among other. Uruguay is in a privileged position in this regard due to electricity surpluses produced by nonconventional renewable energies during the early morning, which coincidentally is the period of lowest demand. This paper analyses the impact of electromobility deployment scenarios in the power system of Uruguay. In the most ambitious scenario, the study suggests that the fleet of electric vehicles of the country could increase from approximately 4,300 to 88,000 by 2028, accounting for up to 2% of total electricity demand and provide a significant reduction in fuel consumption without significantly increasing the marginal cost of electricity supply.
{"title":"Impact of electromobility deployment scenarios in the power system of Uruguay by 2028","authors":"Lorena Di Chiara, Federico Ferres, Felipe Bastarrica","doi":"10.1109/urucon53396.2021.9647426","DOIUrl":"https://doi.org/10.1109/urucon53396.2021.9647426","url":null,"abstract":"Electric vehicle deployment globally has grown exponentially during the past decade due to climate change goals, efficiency improvements and cost reductions, among other. Uruguay is in a privileged position in this regard due to electricity surpluses produced by nonconventional renewable energies during the early morning, which coincidentally is the period of lowest demand. This paper analyses the impact of electromobility deployment scenarios in the power system of Uruguay. In the most ambitious scenario, the study suggests that the fleet of electric vehicles of the country could increase from approximately 4,300 to 88,000 by 2028, accounting for up to 2% of total electricity demand and provide a significant reduction in fuel consumption without significantly increasing the marginal cost of electricity supply.","PeriodicalId":337257,"journal":{"name":"2021 IEEE URUCON","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130838649","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 : 2021-11-24DOI: 10.1109/urucon53396.2021.9647252
{"title":"Special Session: Potencial de exportación de Energías Renovables de Chile y Latinoamérica","authors":"","doi":"10.1109/urucon53396.2021.9647252","DOIUrl":"https://doi.org/10.1109/urucon53396.2021.9647252","url":null,"abstract":"","PeriodicalId":337257,"journal":{"name":"2021 IEEE URUCON","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126918644","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 : 2021-11-24DOI: 10.1109/urucon53396.2021.9647348
Alejandro Adorjan, Martín Solari
In this article we present the design and execution of a software engineering course using the Project-Based Learning (PBL) approach in an up-to-date technological context. For the development of the course, a review of the teaching-learning objectives was carried out, considering not only technical knowledge, but also transversal skills. For the selection of techniques and tools, the state of technological practice in industry was considered. Although our initial focus was on educational redesign, the course started at the same time of the COVID-19 pandemic. We found that some of the software engineering and teamwork technological platforms were also suitable for the online modality. The use of Project-Based Learning in an updated technological context allowed to increase the engagement of the students and the relationship of the learning with the professional practice. In this article we present the rationale for the course educational redesign and lessons learned regarding the interrelation of pedagogical framework and technology context from a software engineering education perspective.
{"title":"Software Engineering Project-Based Learning in an Up-To-Date Technological Context","authors":"Alejandro Adorjan, Martín Solari","doi":"10.1109/urucon53396.2021.9647348","DOIUrl":"https://doi.org/10.1109/urucon53396.2021.9647348","url":null,"abstract":"In this article we present the design and execution of a software engineering course using the Project-Based Learning (PBL) approach in an up-to-date technological context. For the development of the course, a review of the teaching-learning objectives was carried out, considering not only technical knowledge, but also transversal skills. For the selection of techniques and tools, the state of technological practice in industry was considered. Although our initial focus was on educational redesign, the course started at the same time of the COVID-19 pandemic. We found that some of the software engineering and teamwork technological platforms were also suitable for the online modality. The use of Project-Based Learning in an updated technological context allowed to increase the engagement of the students and the relationship of the learning with the professional practice. In this article we present the rationale for the course educational redesign and lessons learned regarding the interrelation of pedagogical framework and technology context from a software engineering education perspective.","PeriodicalId":337257,"journal":{"name":"2021 IEEE URUCON","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127013055","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 : 2021-11-24DOI: 10.1109/urucon53396.2021.9647280
Ernesto Ocampo Edye, Juan Francisco Kurucz, Lucas Lois, Agustín Paredes, Francisco Piria, Josefina Rodríguez, Silvia Herrera Delgado
The differential diagnosis of respiratory diseases is usually a challenge for medical specialists in the first line of care, increased under the current COVID-19 pandemic. A Clinical Decision Support System-CDSS - is being developed using Bayesian Networks – BNs – to help physicians diagnose respiratory diseases, including those related to COVID-19. Network structure has been elicited from expert physicians, and network parameters (diseases prevalence, symptoms, findings, and lab results conditional probabilities) were extracted from relevant bibliography or currently standard global information sources. The CDSS is being tested using case studies taken from real situations, provided and validated by physicians. The resulting system demonstrates the suitability and flexibility of BNs for diagnosis support and healthcare training.
{"title":"Applying Bayesian Networks to help Physicians Diagnose Respiratory Diseases in the context of COVID-19 Pandemic","authors":"Ernesto Ocampo Edye, Juan Francisco Kurucz, Lucas Lois, Agustín Paredes, Francisco Piria, Josefina Rodríguez, Silvia Herrera Delgado","doi":"10.1109/urucon53396.2021.9647280","DOIUrl":"https://doi.org/10.1109/urucon53396.2021.9647280","url":null,"abstract":"The differential diagnosis of respiratory diseases is usually a challenge for medical specialists in the first line of care, increased under the current COVID-19 pandemic. A Clinical Decision Support System-CDSS - is being developed using Bayesian Networks – BNs – to help physicians diagnose respiratory diseases, including those related to COVID-19. Network structure has been elicited from expert physicians, and network parameters (diseases prevalence, symptoms, findings, and lab results conditional probabilities) were extracted from relevant bibliography or currently standard global information sources. The CDSS is being tested using case studies taken from real situations, provided and validated by physicians. The resulting system demonstrates the suitability and flexibility of BNs for diagnosis support and healthcare training.","PeriodicalId":337257,"journal":{"name":"2021 IEEE URUCON","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116863075","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 : 2021-11-24DOI: 10.1109/urucon53396.2021.9647388
{"title":"Special Session: Aumento de la Generación de Energía Renovable en Paraguay [Not available in English]","authors":"","doi":"10.1109/urucon53396.2021.9647388","DOIUrl":"https://doi.org/10.1109/urucon53396.2021.9647388","url":null,"abstract":"","PeriodicalId":337257,"journal":{"name":"2021 IEEE URUCON","volume":"457 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115935412","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 : 2021-11-24DOI: 10.1109/urucon53396.2021.9647193
A. Nardoto, Ana Luiza Corte, Nelson Santana, A. Amorim, L. Encarnação, W. D. dos Santos
Microgrids are the main structures of a new model for electric power systems. These structures allow the participation of distributed generation, electric vehicles, and energy storage in the utility grid. Among the microgrid topologies, the hybrid AC / DC stands out. In this paper, the implementation of a solid state transformer (SST) using the dual active bridge (DAB) structure is used to build up a hybrid microgrid integrating photovoltaic generation, energy storage systems, AC and DC loads. The operation of the hybrid microgrid is analyzed for different scenarios of load and generation. Results show that the proposed SST structure is able to deal with microgrid bidirectional power flow, ensuring DC-links voltage regulation and high quality energy on the point of common coupling despite unbalanced currents on microgrid loads.
{"title":"Hybrid Microgrid Based on Solid State Transformer","authors":"A. Nardoto, Ana Luiza Corte, Nelson Santana, A. Amorim, L. Encarnação, W. D. dos Santos","doi":"10.1109/urucon53396.2021.9647193","DOIUrl":"https://doi.org/10.1109/urucon53396.2021.9647193","url":null,"abstract":"Microgrids are the main structures of a new model for electric power systems. These structures allow the participation of distributed generation, electric vehicles, and energy storage in the utility grid. Among the microgrid topologies, the hybrid AC / DC stands out. In this paper, the implementation of a solid state transformer (SST) using the dual active bridge (DAB) structure is used to build up a hybrid microgrid integrating photovoltaic generation, energy storage systems, AC and DC loads. The operation of the hybrid microgrid is analyzed for different scenarios of load and generation. Results show that the proposed SST structure is able to deal with microgrid bidirectional power flow, ensuring DC-links voltage regulation and high quality energy on the point of common coupling despite unbalanced currents on microgrid loads.","PeriodicalId":337257,"journal":{"name":"2021 IEEE URUCON","volume":"299 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122796106","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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