2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE)最新文献_第4页

Analysis of PV Water Pumping System in Different Geographical Locations in Egypt 埃及不同地理位置的光伏水泵系统分析

2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE) Pub Date : 2023-02-19 DOI: 10.1109/CPERE56564.2023.10119617

Sarah Khalil, Salma Mostafa, M. Hammad, I. Mahmoud

{"title":"Analysis of PV Water Pumping System in Different Geographical Locations in Egypt","authors":"Sarah Khalil, Salma Mostafa, M. Hammad, I. Mahmoud","doi":"10.1109/CPERE56564.2023.10119617","DOIUrl":"https://doi.org/10.1109/CPERE56564.2023.10119617","url":null,"abstract":"The trending movement toward implementing renewable energy resources is still rising. Global warming and the many other hazardous effects made by fossil fuels motivated the whole world to transform to renewable energy resources. Water pumping is considered a primary load that consumes a high power conventionally supplied by diesel fuel. Therefore, Photovoltaic (PV) energy is increasingly employed in water pumping systems. This technology is based on using a PV array to convert solar energy into electrical energy to run a DC or AC motor-based water pump. To increase the employability of solar energy in water pumping systems, this paper presents a viable method of PV sizing to get the required PV modules to cover the load of water pumping. A presented method is a user-friendly tool based on economical values entered by a non-technician user. The main objective of the study is to cover the research gap found in the current PV sizing tools for water pumping systems by presenting a totally stand-alone PV system consisting of the solar array, inverter, solar charge controller, and circuit breaker, and a battery bank. Moreover, the total cost of the system installation and its payback period is calculated. The study has discussed the performance of the system in a different geographical location in Egypt. Finally, the carbon dioxide reduction saved by the system is measured. The results assure the effective utilization of solar energy as a driving energy source for the water pumping systems.","PeriodicalId":169048,"journal":{"name":"2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121052329","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

Dual-Input Three Phase Split-Source Inverter 双输入三相分源逆变器

2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE) Pub Date : 2023-02-19 DOI: 10.1109/CPERE56564.2023.10119585

Mustafa Abu-Zaher, M. Gaafar, M. Orabi

引用次数: 1

Model Predictive Controlled Common Ground Power Converter for Universal AC/DC Microgrid Applications 通用交/直流微电网模型预测控制共地功率变换器

2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE) Pub Date : 2023-02-19 DOI: 10.1109/CPERE56564.2023.10119534

M. Aly, S. Kouro, F. Carnielutti, Margarita Norambuena, Eltaib Abdeen D. Ibrahim, C. Garcia, O. Husev, José Raúl Rodríguez Rodríguez

引用次数: 0

Hybrid Maximum-Power-Point Tracking Algorithm using Voltage Sweep and P & O for T-Source Inverter PV Applications 基于电压扫描和P & O的t源逆变器PV混合最大功率点跟踪算法

2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE) Pub Date : 2023-02-19 DOI: 10.1109/CPERE56564.2023.10119531

Alyaa Abdo Hassan, E. E. EL-Kholy, Hossam Youssef Abdel, H. Awad

引用次数: 0

Lead-free Low Light Intensity Harvester for Under-skin Self-powered Continuous Glucose Monitor Sensor 用于皮下自供电连续血糖监测传感器的无铅低光强采集器

2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE) Pub Date : 2023-02-19 DOI: 10.1109/CPERE56564.2023.10119637

Marwan Hany, S. Abdellatif

引用次数: 1

Smart Bike Automatic Autonomy Adaptation For Rider Assistance 智能自行车自动自主适应骑手援助

2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE) Pub Date : 2023-02-19 DOI: 10.1109/CPERE56564.2023.10119570

Carol E. Halim, M. Sabry, Hassan Soubra

引用次数: 1

Resonant Based DC-DC Converter for Fast EV Battery Charging Applications Using Novel Adder Architecture - Analysis, Design & Resonant Components Tolerance Effects 基于谐振的基于新型加法器结构的快速充电应用的DC-DC变换器——分析、设计和谐振元件公差效应

2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE) Pub Date : 2023-02-19 DOI: 10.1109/CPERE56564.2023.10119598

S. Basu, P. Jain

{"title":"Resonant Based DC-DC Converter for Fast EV Battery Charging Applications Using Novel Adder Architecture - Analysis, Design & Resonant Components Tolerance Effects","authors":"S. Basu, P. Jain","doi":"10.1109/CPERE56564.2023.10119598","DOIUrl":"https://doi.org/10.1109/CPERE56564.2023.10119598","url":null,"abstract":"Consistent efforts are being made to enable electrification of the transport industry for a cleaner environment. Though there has been substantial increase in electric vehicles (EVs); lack of adequate and quick charging points are proving to be major stumbling blocks to the wide spread adoption of electric vehicles. This paper presents a novel multi-module series connected dual active bridge resonant DC-DC converter with a unique adder configuration for obtaining wide output voltage (150V-920V) for EV battery charging applications. The system is conceived with the ability to connect multiple modules in parallel to facilitate the fast charging. A detailed analysis is performed to select components and also to briefly highlight the adverse effects of component tolerances in these multi-module systems. The manuscript suggests a simple modification in the temporal characteristics of waveform generated by the converter for addressing the component variation problem. A scaled down experimental prototype (voltage range of 42V-223V and power range of 0. 2kW-0.875kW) showing 95.5% peak efficiency is built to demonstrate proof of concept.","PeriodicalId":169048,"journal":{"name":"2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131394770","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

Three-Phase Multilevel Inverters for LV Systems: Comparison of Modular Multilevel Converter and Flying Capacitor Structures 低压系统用三相多电平逆变器:模块化多电平变换器与飞电容结构的比较

2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE) Pub Date : 2023-02-19 DOI: 10.1109/CPERE56564.2023.10119641

T. Younis, P. Mattavelli

引用次数: 1

Fast Deep-Learning-Based Recognition of Multiple Power Quality Events Under Noise and DC Offset 噪声和直流偏置下基于深度学习的多重电能质量事件快速识别

2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE) Pub Date : 2023-02-19 DOI: 10.1109/CPERE56564.2023.10119643

A. M. Saber, Alaa Selim, Vinod Kadkikar, Hatem H. Zeineldin, Ehab F. El-Saadany

{"title":"Fast Deep-Learning-Based Recognition of Multiple Power Quality Events Under Noise and DC Offset","authors":"A. M. Saber, Alaa Selim, Vinod Kadkikar, Hatem H. Zeineldin, Ehab F. El-Saadany","doi":"10.1109/CPERE56564.2023.10119643","DOIUrl":"https://doi.org/10.1109/CPERE56564.2023.10119643","url":null,"abstract":"The wide integration of renewables, e.g., photo-voltaics, into the power grid can result in decreased power quality. Real-time recognition and classification of Power Quality Events (PQEs) are of great interest to the power system operators, to maintain an acceptable quality of the delivered power across the grid. This paper investigates the potential of using learningbased algorithms to obtain a single solution that can accurately (i) recognize and classify both single and multiple simultaneous PQEs, (ii) in a timely manner, and (iii) under practical sources of measurement error such as noise and dc offset. Simulations are carried out in two steps. Firstly, the performances of 31 reputable learning-based algorithms are evaluated, in MATLAB, to demonstrate the effect of the aforementioned signal variations and sources of error on the accuracy of PQEs recognition and classification. This effect is also verified using the advanced TDistributed Stochastic Neighbor Embedding algorithm. Afterward, a Convolutional Neural Network (CNN) is implemented to recognize and classify PQEs under the aforementioned factors. Our results show that, despite the given problem’s complexity, neural-network-based techniques are able to achieve higher accuracy than the other studied techniques. CNN can achieve 95.5% accuracy.","PeriodicalId":169048,"journal":{"name":"2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129927283","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 Path Odometry for Smart Autonomous E-Bikes 智能自动电动自行车的视觉路径里程计

2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE) Pub Date : 2023-02-19 DOI: 10.1109/CPERE56564.2023.10119592

Hana Hussein Khalifa, M. Sabry, Hassan Soubra

{"title":"Visual Path Odometry for Smart Autonomous E-Bikes","authors":"Hana Hussein Khalifa, M. Sabry, Hassan Soubra","doi":"10.1109/CPERE56564.2023.10119592","DOIUrl":"https://doi.org/10.1109/CPERE56564.2023.10119592","url":null,"abstract":"Recently, autonomous systems have been in rapid development. These systems are composed of various modules that enable automated navigation. The main generic modules consist of data acquisition, perceiving the environment, finding the optimal path and controlling the actuators. A core module of the automated vehicles is estimating where the vehicle is with respect to the path to be traversed, namely, vehicle localization. Localization has been applied through the past few years based on various sensors such as LiDARs, Cameras and GPS. Each sensor has its own strengths and weaknesses. For instance, Camera and LiDAR-Based traversed path estimation Odometry can function within GPS-denied environments. On the other hand, localization based on GPS can be used in environments where Cameras and LiDARs can fail to extract useful information, such as in a desert. For the case of automated vehicles, there is access to high power computers on board, which can help run complex and computationally expensive algorithms. However, for smaller platforms such as smart bikes, they are computationally limited, which can be a challenge especially for Visual Odometry Based algorithms. Given that there have been few researches exploring Monocular Visual Odometry (MVO) algorithms that are computationally efficient, this paper proposes the use of and enhancing a MVO module to estimate the path traversed by a smart bike platform in real-life. The obtained scores were compared to the output of the tested algorithm on a consumer grade PC to explore the trade-off between the gained speed up and reduced accuracy, the to validate the results.","PeriodicalId":169048,"journal":{"name":"2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130008143","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