2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE)最新文献_第6页

Professional Seminars 专业研讨会

2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE) Pub Date : 2023-02-19 DOI: 10.1109/CPERE56564.2023.10119580

D. Boroyevich

引用次数: 0

Stand-alone PV System For Remote Area Refrigeration: Techno-economic Case Study in Egypt. 用于偏远地区制冷的独立光伏系统:埃及的技术经济案例研究。

2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE) Pub Date : 2023-02-19 DOI: 10.1109/CPERE56564.2023.10119596

Nourhan Alaa El-Din, W. Anis, Adel Ahmed, S. Abdellatif

引用次数: 0

An Approach of Skill-Based Education for Industry-Ready Electrical Engineers: Power Electronics Course as A Case Study 面向工业电气工程师的技能教育方法:以电力电子课程为例

2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE) Pub Date : 2023-02-19 DOI: 10.1109/CPERE56564.2023.10119647

H. Ashour

{"title":"An Approach of Skill-Based Education for Industry-Ready Electrical Engineers: Power Electronics Course as A Case Study","authors":"H. Ashour","doi":"10.1109/CPERE56564.2023.10119647","DOIUrl":"https://doi.org/10.1109/CPERE56564.2023.10119647","url":null,"abstract":"Recently, and particularly after the Covid19 pandemic period and during teaching different courses, it has been noticed that most of the undergraduate engineering students have rising the type of questions such as ‘‘Why we are learning this particular course?’’ and ‘‘What are the main benefits and direct impacts of such course on our future carrier? Also as a direct impact of the new available job requirements, it becomes most importance to prepare future engineers to thrive in recent dynamic changing in employment landscape. Hence for students who want to compete and involved in promising working opportunities, it is important to bridging the gap between teaching courses and the industry requirements by focusing on the concept of ‘‘Industry Ready Engineers Since most of recent jobs concentrate on specific required competencies, the author believes that it is important now to give more focusing on the skill-based learning methodology. This paper introduces an approach focusing on group categorization for the recent specific required skills of electrical engineers; then how to involve these skills in specific teaching courses. The main objectives of such approach is to intentionally improve such group skills (one by one) throughout the all program courses in order to introduce a final graduated engineer with great working readiness skills. The approach is validated and evaluated on teaching the power electronics course 1 as a case study.","PeriodicalId":169048,"journal":{"name":"2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE)","volume":"35 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":"129453038","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

Intelligent Control Design for Grid-Connected Voltage Source Power Converters Based on Data- Driven Approach for DC Microgrid Applications 基于数据驱动的直流微电网并网电压源电源变换器智能控制设计

2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE) Pub Date : 2023-02-19 DOI: 10.1109/CPERE56564.2023.10119590

A. Soliman, M. Amin, F. El-Sousy, O. Mohammad

{"title":"Intelligent Control Design for Grid-Connected Voltage Source Power Converters Based on Data- Driven Approach for DC Microgrid Applications","authors":"A. Soliman, M. Amin, F. El-Sousy, O. Mohammad","doi":"10.1109/CPERE56564.2023.10119590","DOIUrl":"https://doi.org/10.1109/CPERE56564.2023.10119590","url":null,"abstract":"This paper introduces the control and operation of a grid-connected converter with an energy storage system. A complete mathematical model was presented for the developed converter and its control system. The system under study was a small microgrid comprising an AC grid that is feeding a DC load through a converter. The converter was connected to the AC grid through an R-L filter. The classical linear controllers have limitations due to their slow transient performance and low robustness against parameter variations and load disturbances. In this paper, machine-learned controllers were used to dealing with those drawbacks of the traditional controller. First, a study for conventional nested loop Proportional Integral (PI) was introduced for both outer and inner loops PI-PI controller. A Data-Driven Online Learning (DDOL) controller was then proposed. This controller was a Proportional Integral Neural Network (PI-NN) that enhanced the system performance in terms of dynamic and steady-state responses. A comparison between the normal traditional PI-PI controller and the proposed DDOL ones was made under different operating scenarios. The converter control was tested under various operational conditions, and its dynamic and steady-state behavior was analyzed. The model was done through a MATLAB Simulink to check the normal operation of the network in a grid-connected mode under different load disturbances and AC input voltage. Then, the system was designed, fabricated, and implemented in a hardware environment in our testbed, and the test results were verified.","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":"128618265","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: 2

CPERE 2023 Panel Discussion CPERE 2023小组讨论

2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE) Pub Date : 2023-02-19 DOI: 10.1109/cpere56564.2023.10119532

引用次数: 0

Wireless Charging Techniques and Converter Topologies for Light EVs, E-Bikes, E-Chairs and EScooters: A Review 轻型电动汽车、电动自行车、电动椅和电动滑板车的无线充电技术和转换器拓扑:综述

2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE) Pub Date : 2023-02-19 DOI: 10.1109/CPERE56564.2023.10119571

Eman Gomaa, A. Shawky, M. Orabi

{"title":"Wireless Charging Techniques and Converter Topologies for Light EVs, E-Bikes, E-Chairs and EScooters: A Review","authors":"Eman Gomaa, A. Shawky, M. Orabi","doi":"10.1109/CPERE56564.2023.10119571","DOIUrl":"https://doi.org/10.1109/CPERE56564.2023.10119571","url":null,"abstract":"Utility grid and distribution networks have experienced a high penetration of electric chargers into homes, public areas, and campuses due to the extensive increase of light Electric Vehicles (EVs) and similar low-power applications such as Electric-Bikes (E-Bikes), Electric Scooters (E-scooters) and Electric chairs (E-Chairs). Also, the flexibility and reliability of wireless power transfer (WPT) technology motivates researchers and designers toward wireless charging because the required power is low and compact chargers can be easily achieved. Although wireless chargers for EVs that need higher power and fast charging have been widely discussed in the literature, the focus on low-power charging applications and their detailed classifications has not been covered well. To fill this gap, this paper significantly shows a literature survey for wireless chargers for low-power applications. The essential techniques of these chargers and their converter/inverter topologies are summarized and compared with a special focus on charger architecture, coils specs, voltage and current stress, efficiency, component counts, and battery specs. Further, the control techniques and their impact on charging speed are intensively discussed. This review also outlines the standards and safety concerns of these types of wireless chargers. Finally, a recommendation based on the results of this review is given for future work.","PeriodicalId":169048,"journal":{"name":"2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE)","volume":"190 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":"121307638","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

A Vector Control Strategy for Five-Phase Drives Fed by Simplified Split-Source Inverters 简化分源逆变器五相驱动的矢量控制策略

2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE) Pub Date : 2023-02-19 DOI: 10.1109/CPERE56564.2023.10119603

S. Dabour, A. Aboushady, M. Elgenedy, I. A. Gowaid, M. Farrag

引用次数: 0

Virtual Bike Lanes for Smart, Safe, and Green Navigation 智能、安全和绿色导航的虚拟自行车道

2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE) Pub Date : 2023-02-19 DOI: 10.1109/CPERE56564.2023.10119537

Mariam Sherif Seoudi, Islam Mesabah, M. Sabry, Hassan Soubra

{"title":"Virtual Bike Lanes for Smart, Safe, and Green Navigation","authors":"Mariam Sherif Seoudi, Islam Mesabah, M. Sabry, Hassan Soubra","doi":"10.1109/CPERE56564.2023.10119537","DOIUrl":"https://doi.org/10.1109/CPERE56564.2023.10119537","url":null,"abstract":"Cairo ranks as one of the most polluted cities and recently traffic congestion has been a major problem in its streets. One of the viable solutions is reducing vehicles and increasing the use of bikes. However, cyclists in Cairo are facing many challenges, which makes the use of the bike slightly inconvenient in this case. In order to reduce the challenges and ensure safe navigation, this paper provides a multi-criteria route planner developed specifically for the streets of Cairo. The system provides the best possible path which maintains the comfort, health, and safety of the rider. The system is able to operate independent of information regarding bike lanes and traffic rules. Furthermore, due to the significant impact of the weather on cycling decisions, real-time weather information was added as a factor within the proposed routing function. Real-life testing of the best routes and their alternatives was conducted to assess the applicability of the system. The proposed approach in this paper can be applied in any location, where the required online information is provided without any need for specialized infrastructure.","PeriodicalId":169048,"journal":{"name":"2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE)","volume":"28 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":"126465048","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

Photovoltaic Systems Status Monitoring Utilizing Machine Learning Technique 利用机器学习技术监测光伏系统状态

2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE) Pub Date : 2023-02-19 DOI: 10.1109/CPERE56564.2023.10119619

Mohamed Gaballah Ali, M. Gaafar, M. Orabi

{"title":"Photovoltaic Systems Status Monitoring Utilizing Machine Learning Technique","authors":"Mohamed Gaballah Ali, M. Gaafar, M. Orabi","doi":"10.1109/CPERE56564.2023.10119619","DOIUrl":"https://doi.org/10.1109/CPERE56564.2023.10119619","url":null,"abstract":"This article proposes a Data-based condition monitoring technique (CM) to observe the operational status of a Photovoltaic (PV) system. Without any need for more sensors than traditional measurements installed in the DC Combiner Box which are one Voltage sensor for the array and one Current sensor for each string, Kernel-based Gaussian process regression (GPR) is capable of nonlinear approximation, So it is utilized to empirically model the DC power of PV generator and compute residuals which are used for detecting faults. The residuals go via an exponentially weighted moving averages filter. Kernel density estimation (KDE) is employed in this study to detect faults by examining the univariate residuals. The four failure situations that have received the most attention in this study are the PV string open circuit fault, partial shading, shorted PV modules, and module deterioration or degradation. Using information from a 5, 310Wp gridconnected solar power system simulated on Matlab Simulink. Through this study, six kernel functions were tested for the GPR model where two of them were customized, These functions are Quadratic, Matern, Exponential, Squared Exponential, Dot product Plus White kernel, and Matern kernel Plus quadratic kernel, by performing advanced preprocessing, and comparing results and performance metrics we found that MATERN and Customized Matern Kernelbased GPR models perform better than other kernel-based GPR to monitor PV systems.","PeriodicalId":169048,"journal":{"name":"2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE)","volume":"14 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":"127465641","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

Design Low-Cost Battery Management System for Low Power Applications of Photovoltaic Systems 为光伏系统低功耗应用设计低成本电池管理系统

2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE) Pub Date : 2023-02-19 DOI: 10.1109/CPERE56564.2023.10119604

Yasser Ethman, Mahmoud Elbastawesy, Mustafa Emad, Islam Younes, Bahaa Ibrahim Al-Hosseny, Omar Matar, Farahat Ahmed, S. Kaddah, Basem M. Badr

{"title":"Design Low-Cost Battery Management System for Low Power Applications of Photovoltaic Systems","authors":"Yasser Ethman, Mahmoud Elbastawesy, Mustafa Emad, Islam Younes, Bahaa Ibrahim Al-Hosseny, Omar Matar, Farahat Ahmed, S. Kaddah, Basem M. Badr","doi":"10.1109/CPERE56564.2023.10119604","DOIUrl":"https://doi.org/10.1109/CPERE56564.2023.10119604","url":null,"abstract":"One of the most challenging parts of renewable energy is storing energy because of its discontinuity. Batteries are used to store energy, but they need proper care, especially in critical applications that need safety and long-term reliability, so a battery management system (BMS) is required for these features. In this paper, low-cost BMS for Li-ion batteries is designed and developed for low-power applications and Photovoltaic (PV) systems. A literature search of BMS and battery types is conducted and studied to develop a suitable methodology of design low-cost BMS for low-power applications. Two off-the-shelf BMS kits are used and upgraded to develop reliable BMS to meet the application requirements. These kits are simulated, tested, and characterized for system performance, which are cheap and have limitations. The proposed BMS architects are modeled and simulated using MATLAB/SIMULINK, where the simulation models mimic the schemes in the BMS kits and the upgraded methods to improve the performance of the BMS kits. The simulation results illustrate the BMS performance when the SoC (state of charge) and balancing techniques are upgraded and developed in the proposed BMS kits. An embedded kit is used to perform the improvements of the BMS kits, where SoC and voltage recalibration are performed to give accurate values of charge, even if the current sensor has errors in its readings. The simulation and experimental results affirm that low power losses (2W/A), protection features, fast charging time (over 7 minutes to 3.3 V), sharing power source with the load, and balancing the cells (up to 10% of remaining charge) are achieved successfully. The system performance meets the BMS features at low-cost approach, which with respect to the load requirements of the PV systems.","PeriodicalId":169048,"journal":{"name":"2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE)","volume":"114 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":"132095534","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