2022 IEEE International Power and Renewable Energy Conference (IPRECON)最新文献_第3页

A Topology Review of LED Drivers without Electrolytic Capacitors 无电解电容LED驱动器的拓扑研究

2022 IEEE International Power and Renewable Energy Conference (IPRECON) Pub Date : 2022-12-16 DOI: 10.1109/IPRECON55716.2022.10059477

Suganthi K, S. K, Sethuraman S S

引用次数: 0

Efficient DDoS Attack Detection using Machine Learning Techniques 使用机器学习技术的高效DDoS攻击检测

2022 IEEE International Power and Renewable Energy Conference (IPRECON) Pub Date : 2022-12-16 DOI: 10.1109/IPRECON55716.2022.10059561

Fathima Nazarudeen, S. Sundar

引用次数: 0

Robust H∞ Controller Design for HVAC System HVAC系统鲁棒H∞控制器设计

2022 IEEE International Power and Renewable Energy Conference (IPRECON) Pub Date : 2022-12-16 DOI: 10.1109/IPRECON55716.2022.10059578

Sapna Gupta, Payal Bansal, Leeladhar Nagar

引用次数: 0

Synchrophasor Data based Disturbance Monitoring and Tier-based Spatial Localization 基于同步相量数据的扰动监测与分层空间定位

2022 IEEE International Power and Renewable Energy Conference (IPRECON) Pub Date : 2022-12-16 DOI: 10.1109/IPRECON55716.2022.10059522

Shaily Singh, Akanksha Malhotra, Ravi Yadav

{"title":"Synchrophasor Data based Disturbance Monitoring and Tier-based Spatial Localization","authors":"Shaily Singh, Akanksha Malhotra, Ravi Yadav","doi":"10.1109/IPRECON55716.2022.10059522","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059522","url":null,"abstract":"The large integration of phasor measurement units (PMUs) providing high-fidelity phasor data at an increased rate of delivery has enhanced situational awareness in the power system. The high-resolution phasor data from wide-area measurement systems (WAMS) is utilized for a number of real-time and offline applications such as disturbance monitoring, mode metering, attack detection, state estimation, etc. Real-time dynamic disturbance identification and visualization are of paramount importance for timely fault diagnosis and emergency control actions. This paper explores real-time detection, identification, and localization of dynamic events in a power system using WAMS data. The paper presents heuristics detection criteria using integrated voltages and frequency change markers. Additionally, a tier-based event localization strategy is proposed using unsupervised clustering of event data spread into tiers. The paper also presents fundamental time-domain disposition-based features extraction and machine learning based classification methods. The proposition is tested for simulated test cases for IEEE-39 bus system in DigSILENT/PowerFactory.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115048958","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

High Gain Isolated DC-DC Converter with Current Sharing for Hot Swap for Photovoltaic Panels 用于光伏板热插拔的高增益隔离DC-DC共流变换器

2022 IEEE International Power and Renewable Energy Conference (IPRECON) Pub Date : 2022-12-16 DOI: 10.1109/IPRECON55716.2022.10059535

Jose Luis Morales Nieto, José Heriberto Rodríguez Estrada, Elías José Juan Rodríguez Segura, Cecilia Gordillo Tapia, J. Nolasco, Pablo Israel Guzmán Tafoya

引用次数: 0

Copy-move Image Forgery Detection and Localization Using Alteration Trace Net 基于改变痕迹网的复制-移动图像伪造检测与定位

2022 IEEE International Power and Renewable Energy Conference (IPRECON) Pub Date : 2022-12-16 DOI: 10.1109/IPRECON55716.2022.10059673

M. Sabeena, L. Abraham

{"title":"Copy-move Image Forgery Detection and Localization Using Alteration Trace Net","authors":"M. Sabeena, L. Abraham","doi":"10.1109/IPRECON55716.2022.10059673","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059673","url":null,"abstract":"The prevalence of social media as a modern substitute for conventional news sources has led to the rise of fake news, which usually uses tampered photographs. This trend is frequently brought on by the rapidly falling cost of high-tech cameras and cell phones, which encourage the fast creation of computerized images. The ease of manipulating digital images has made image forgery a common worry. The volume of altered photos shared daily has greatly increased due to the quick development of commercial image altering programs like Adobe Photoshop. This phenomenon has detrimental effects, diminishing reliability and producing false beliefs in many real-world applications. This paper suggests a deep learning strategy for detecting copy-move forgeries in digital images. Here, we employ two deep learning models to identify copy move fraud in digital photos, namely Buster Net and Alteration Trace Net. The CoMoFoD dataset is used to assess the performance of the two models. The experimental results demonstrate that the Alteration Trace Net model outperforms the Buster Net model with 98.6% accuracy in identifying forgeries in photos, compared to the Buster Net model's accuracy of 96.9%.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116786581","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

Influence of High Temperature on Electromagnetic and Mechanical Performances of High-Speed Permanent Magnet Machines 高温对高速永磁电机电磁及机械性能的影响

2022 IEEE International Power and Renewable Energy Conference (IPRECON) Pub Date : 2022-12-16 DOI: 10.1109/IPRECON55716.2022.10059503

A. Tameemi

{"title":"Influence of High Temperature on Electromagnetic and Mechanical Performances of High-Speed Permanent Magnet Machines","authors":"A. Tameemi","doi":"10.1109/IPRECON55716.2022.10059503","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059503","url":null,"abstract":"Generally, electrical machines are designed, analyzed, and optimized at standard room temperature (20°C), and the rise in temperature due to the heat generated by the electromagnetic losses is normally managed through cooling systems. In the electrically assisted turbocharger, the electrical machine operates in more challenging conditions where the ambient temperature is between 200°C and 300°C. This makes the development of high-temperature, high-performance machines is not only a safety issue but also a performance issue. Therefore, the impact of these high temperatures on the electromagnetic and mechanical performances of a high-speed permanent magnet synchronous machine (PMSM) intended for use in turbochargers is the subject of this study. Firstly, the changes in the electromagnetic and mechanical characteristics of the materials used in the SPM machine due to temperature variation are discussed. Moreover, finite element analysis (FEA) is used to make accurate predictions and comparisons about the electromagnetic performance of the PMSM running at 20°C and 200°C, including the airgap flux density, no-load voltage, output torque, torque-speed characteristics, electromagnetic losses and efficiency, and rotor mechanical stress. Finally, an individual design parameter optimization is carried out at 20°C and 200°C to highlight the influence of high temperatures on the predicted optimum values.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129481600","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

Developing an IoT based Mass Crowd Management System Reviewing Existing Methodologies 开发基于物联网的大众人群管理系统，回顾现有方法

2022 IEEE International Power and Renewable Energy Conference (IPRECON) Pub Date : 2022-12-16 DOI: 10.1109/IPRECON55716.2022.10059484

Apoorva Choudhury, Surya Saravanan Mudaliar, Amogh Hatkar, Harshit Singh, Washima Tasnin

引用次数: 0

A Fuzzy-based Technique for Series and Shunt FACTS Placement in a Distribution System 一种基于模糊的配电系统串联和并联事实放置技术

2022 IEEE International Power and Renewable Energy Conference (IPRECON) Pub Date : 2022-12-16 DOI: 10.1109/IPRECON55716.2022.10059554

Charles Ofori, I. Oladeji, R. Zamora

{"title":"A Fuzzy-based Technique for Series and Shunt FACTS Placement in a Distribution System","authors":"Charles Ofori, I. Oladeji, R. Zamora","doi":"10.1109/IPRECON55716.2022.10059554","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059554","url":null,"abstract":"The control of reactive power in any transmission network is important to ensure voltage stability of the entire power grid. Flexible AC Transmission Systems (FACTS) have proven to be efficient in providing controllability to reactive power for voltage stability management. However, the performance of the FACTs devices largely depends on the installation location. A fuzzy logic technique for finding the optimal location for the Thyristor Controlled Series Capacitor (TCSC) and Static Var Compensator (SVC) FACTS devices with specific security indices is proposed in this paper. The proposed indices for SVC placement are the Loss Sensitivity Factor (LSF) and critical voltage, while the considered indices for TCSC placement are the loss sensitivity factor (LSF) and line stability index (LSI). The indices are fuzzified to obtain a suitability index which determines the suitable line(s) and node(s) accordingly. The proposed approach is implemented on the IEEE 30 bus network. The SVC reduced the overall transmission loss by 1.6%, while the TCSC reduced the transmission loss by 4.94 %. The loading margin also improved by 24.87% and 2.92% using SVC and TCSC, respectively. The voltage profile also remained close to 1 p.u under varying load conditions. The results indicate the effectiveness of the proposed technique at reducing transmission loss, improving voltage stability and improving voltage profile simultaneously.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130206028","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

Machine Learning for Smart Cities: A Survey 智能城市的机器学习:一项调查

2022 IEEE International Power and Renewable Energy Conference (IPRECON) Pub Date : 2022-12-16 DOI: 10.1109/IPRECON55716.2022.10059521

C. Mahamuni, Zuber Sayyed, Ayush Mishra

{"title":"Machine Learning for Smart Cities: A Survey","authors":"C. Mahamuni, Zuber Sayyed, Ayush Mishra","doi":"10.1109/IPRECON55716.2022.10059521","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059521","url":null,"abstract":"Smart Cities utilize Information and Communication Technology (ICT) tools to improve operational efficiency and provide excellent service. It aims to make the core infrastructure available and enhance the quality of life. Artificial Intelligence (AI) approaches are used to improve the critical features of a smart city to enhance the quality of life. Smart cities' sustainable development is needed to ensure that rapid urbanization does not affect the natural environment. Machine Learning (ML) is an essential subset of Artificial Intelligence that can contribute to the expansion of emerging smart cities with sustainability. The literature shows that the research community can use Machine Learning (ML) and Deep Learning (DL) to improve the various smart city attributes. These include prediction of air quality, crop management, forecasting weather conditions like rainfall, humidity, fog, transportation, water supply, infrastructure, etc. This paper presents a literature-based study of the smart city concept, sustainability in smart cities, the functional aspects of smart cities, and a survey related to the use of Machine Learning and Deep Learning in it.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129182043","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