2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)最新文献_第2页

Impact of High Penetration of Photovoltaic Distributed Generation on the Protection Coordination in Distribution Networks 光伏分布式发电高渗透对配电网保护协调的影响

2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018800

Héctor A. Álvarez-Macías, R. Peña-Gallardo, C. Soubervielle-Montalvo, Edgar D. De León-Mendoza, J. A. Pecina-Sánchez

{"title":"Impact of High Penetration of Photovoltaic Distributed Generation on the Protection Coordination in Distribution Networks","authors":"Héctor A. Álvarez-Macías, R. Peña-Gallardo, C. Soubervielle-Montalvo, Edgar D. De León-Mendoza, J. A. Pecina-Sánchez","doi":"10.1109/ROPEC55836.2022.10018800","DOIUrl":"https://doi.org/10.1109/ROPEC55836.2022.10018800","url":null,"abstract":"Nowadays, it is increasingly common to see an increase in the interconnection of Distributed Generation Systems, mainly using photovoltaic modules, in the Distribution Networks. This is because of the reduction in the cost of buying these generation systems. The continuous increase of Distributed Generation Systems brings some technical challenges that must be addressed. One of these technical challenges occurs in the Distribution Networks' protection schemes since a high concentration of photovoltaic generation systems can cause changes in the operating times of the protection devices and therefore cause a loss of coordination between them. Thus, to comply with the operating criteria of the Distribution Networks' protections, the change caused by a large concentration of Photovoltaic Distributed Generation Systems must be considered. This paper evaluates the impact on the Distribution Networks protection schemes caused by different Photovoltaic Distributed Generation Systems penetration under different scenarios. It is considered in the analysis of the technical restrictions required to protect Distribution Networks, as well as the limits to interconnect Photovoltaic Distributed Generation Systems. To evaluate this impact, the DIgSILENT PowerFactory software and the IEEE 13 Node Test Feeder are used. The obtained results show how the increasing penetration of Photovoltaic Distributed Generation Systems in the Distribution Networks affects its protection schemes up to 20% of the operating time of the protection device closest to the point of failure.","PeriodicalId":237392,"journal":{"name":"2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115647208","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}

引用次数: 1

An analysis method for predicting breast cancer using data science processes and machine learning 一种使用数据科学过程和机器学习预测乳腺癌的分析方法

2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018755

Juan Jose Cordova Calle, John Xavier Farez Villa, Remigio Ismael Hurtado Ortiz

{"title":"An analysis method for predicting breast cancer using data science processes and machine learning","authors":"Juan Jose Cordova Calle, John Xavier Farez Villa, Remigio Ismael Hurtado Ortiz","doi":"10.1109/ROPEC55836.2022.10018755","DOIUrl":"https://doi.org/10.1109/ROPEC55836.2022.10018755","url":null,"abstract":"In two decades, the number of people with breast cancer has almost doubled: in 2000, about 10 million patients had the disease; by 2020, it had reached 19 million. It is estimated that one in five people today will develop some form of cancer in their lifetime. Studies suggest that the number of people diagnosed with cancer will increase in the coming years, being approximately 50% higher in 2040 than in 2020. This article provides an analysis method to predict or diagnose breast cancer using data science processes and machine learning. The analysis method is structured into three phases. The first one is a data preparation phase, the second one is a predictive analysis phase, and the last one is an evaluation metric. Therefore, the predictions are experimented with machine learning techniques, which are: KNN, gradient boosting classifier, and random forest, for which evaluation metrics are presented with the next quality measures: Accuracy, Precision, Recall, and F1-Score. The dataset selected for this phase of analysis is Wisconsin breast cancer [1]. These data analysis techniques can be extended to other learning techniques and can also be used in future scientific work such as disease prediction or medicine in general.","PeriodicalId":237392,"journal":{"name":"2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115698848","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}

引用次数: 0

Visual Sensor System Applied to Trajectory Generation for UAVs 视觉传感器系统在无人机弹道生成中的应用

2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018749

Luis Felipe Muñoz Mendoza, José Trinidad Guillen Bonilla, Guillermo García-Torales, C. A. Lúa, S. Di Gennaro

引用次数: 0

Performance analysis of a novel Zinc-air battery powering an IoT node 一种为物联网节点供电的新型锌空气电池的性能分析

2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018627

C. A. Ugalde, C. Gonzalez, M. Vera, J. E. García, W.N. Velázquez

引用次数: 0

Design of a High-Reduction Ratio, Doubly Interleaved Buck Converter 一种高降压比双交错Buck变换器的设计

2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018661

José-David Marín-De-La-Cruz, I. Araujo-Vargas, M. Ponce-Flores, Fermín Valencia-Figueroa, Enrique Velázquez-Elizondo, Kevin Cano-Pulido

引用次数: 0

Adaptive IDA-PBC for Output Voltage Regulation of a Fuel Cell Hybrid Storage System 燃料电池混合存储系统输出电压的自适应IDA-PBC调节

2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018669

Carlo A Beltrán, Luis H. Diaz-Saldiernat, P. Martinez‐Rodriguez, Rafael Cisneros, G. Vazquez‐Guzman, D. Langarica‐Cordoba

引用次数: 1

Theoretical and experimental investigation of a Faraday disc generator 法拉第盘发生器的理论与实验研究

2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018744

Jorge Luis Galvan-Ruiz, F. Sellschopp-Sánchez, C. Álvarez-Macías, Rodrigo Loera, R. Avalos-Zuniga, Michel Rivero

{"title":"Theoretical and experimental investigation of a Faraday disc generator","authors":"Jorge Luis Galvan-Ruiz, F. Sellschopp-Sánchez, C. Álvarez-Macías, Rodrigo Loera, R. Avalos-Zuniga, Michel Rivero","doi":"10.1109/ROPEC55836.2022.10018744","DOIUrl":"https://doi.org/10.1109/ROPEC55836.2022.10018744","url":null,"abstract":"This work deals with the case of a ring-shaped con-ductive solid material rotating at different speeds in a constant magnetic field. Their interaction induces a potential difference between the inner and outer radius of the disc, which is measured. This configuration corresponds to a Faraday's disc. It is important to understand the phenomena of electromagnetic induction for small-scale direct current generators, as Faraday's disc. These kinds of generators allow replacing the use of batteries employed on micro-scale applications such as small signal monitoring, medical apparatus inserted in human bodies, smart textile and smart skin devices that can monitor mechanical and thermal variables in the human body, etc. For these applications, it is of great importance to fully understand the underlying physics of these generators, for which experimental and theoretical analysis is employed. The generator's conceptual application in future stages is to collect the untapped kinetic energy found in several physical systems such as human body movement, and vibrations on machinery, among others. In this work, a Faraday's disk generator is analyzed experimen-tally and theoretically to understand the fundamental aspects of these devices. This allows for validating the theoretical models, which can be used to determine the output electrical variables (electric power, induced voltage, and current) of the system operating under given experimental conditions. Comparison results among experimental and analytical models are shown.","PeriodicalId":237392,"journal":{"name":"2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129187374","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}

引用次数: 1

Support tool for presumptive diagnosis of Glaucoma using fundus image processing and artificial intelligence implementation 基于眼底图像处理和人工智能实现的青光眼推定诊断支持工具

2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018579

M. Cordero-Mendieta, E. Pinos-Vélez, Edison Buri-Abad, Roberto Coronel-Berrezueta

{"title":"Support tool for presumptive diagnosis of Glaucoma using fundus image processing and artificial intelligence implementation","authors":"M. Cordero-Mendieta, E. Pinos-Vélez, Edison Buri-Abad, Roberto Coronel-Berrezueta","doi":"10.1109/ROPEC55836.2022.10018579","DOIUrl":"https://doi.org/10.1109/ROPEC55836.2022.10018579","url":null,"abstract":"Blindness is a global health problem and glaucoma is one of the diseases that are considered of vital importance to treat since it is a neurodegenerative disease that causes irreversible blindness that still has no cure, however, it can be treated if detected early; Most people begin to feel symptoms when this disease is already in an advanced stage, therefore in this work we have developed a tool to support the medical diagnosis through digital image processing for it has been consulted in several databases for the study and classification of retinal images among these images we have healthy eyes, suspected glaucoma and diagnosed with glaucoma. The region of interest, we worked with was the optic disc since this is where the blood vessels are interconnected and it is an important area for analysis. We have made a tool to support the presumptive diagnosis of glaucoma applied several neural systems with different structures obtaining very good results of accuracy and sensitivity, this tool was developed free software so that it has free access to both treating physicians and students in the health area, in addition, it has been made in a very intuitive way for its easy use, in first instance allows the entry of images in JPG, JPEG and PNG color format, additionally the patient's data and the treating physician, the results are displayed in a PDF format document with all the information entered and the respective diagnosis, which makes it easier to keep a proper medical history.","PeriodicalId":237392,"journal":{"name":"2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125434990","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}

引用次数: 0

Condition Monitoring of Power Insulators Using Intelligent Techniques–A Survey 基于智能技术的电力绝缘子状态监测研究综述

2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018812

I. Silva, D. Spatti, Victor Yoshizumi, S. Lopes, R. Flauzino, Beatriz De Lima Tavares, Ana Cláudia Barquete, Wallace Honorato

{"title":"Condition Monitoring of Power Insulators Using Intelligent Techniques–A Survey","authors":"I. Silva, D. Spatti, Victor Yoshizumi, S. Lopes, R. Flauzino, Beatriz De Lima Tavares, Ana Cláudia Barquete, Wallace Honorato","doi":"10.1109/ROPEC55836.2022.10018812","DOIUrl":"https://doi.org/10.1109/ROPEC55836.2022.10018812","url":null,"abstract":"Studies that evaluate the monitoring of the condition of power insulators and the malfunction of these devices are especially focused on the main variables involved with their aging process. The early degradation of power insulators, which is more common in highly polluted locations, results in risks to the operation of the electrical system and can financially impact power utilities due to unplanned service interruptions and premature maintenance. Many techniques have been proposed in the literature to evaluate the condition of power insulators. Among these techniques, intelligent systems or machine learning techniques stand out, being pointed out as one of the most promising tools for the early detection of malfunctions in such equipment. However, there is a lack of studies that address this problem more broadly, using the full capacity of intelligent techniques to compile a complete and expert monitoring system that can make automatic decisions or provide subsidies to the operator for more assertive maintenance actions. Based on the studies found in the literature and on the shortcomings identified on the subject, this work presents an investigation into the use of intelligent techniques for monitoring the condition of power insulators in transmission lines, mainly focusing on the early detection of malfunctions of these devices.","PeriodicalId":237392,"journal":{"name":"2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126054262","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}

引用次数: 0

Optimal charging schedules for PEVs with voltage profile support in distribution grids 配电网电压分布支持下电动汽车的最佳充电计划

2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018640

J. C. Silva, J. Cerdá, J. A. Avendaño

引用次数: 0