2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)最新文献

DISTRIBUTED SYSTEM FOR MONITORING ENVIRONMENTAL CONDITIONS using IoT 使用物联网监测环境状况的分布式系统

2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) Pub Date : 2022-07-20 DOI: 10.1109/ICECET55527.2022.9873459

A. Puscasiu, Alexandra Fanca, D. Gota, H. Valean, L. Miclea

{"title":"DISTRIBUTED SYSTEM FOR MONITORING ENVIRONMENTAL CONDITIONS using IoT","authors":"A. Puscasiu, Alexandra Fanca, D. Gota, H. Valean, L. Miclea","doi":"10.1109/ICECET55527.2022.9873459","DOIUrl":"https://doi.org/10.1109/ICECET55527.2022.9873459","url":null,"abstract":"According to the World Health organization (WHO), nine out of ten people worldwide are breathing polluted air, prompting the organization to call for immediate action to combat pollution, which is responsible for more than six million deaths each year. Researchers have used a variety of methods to monitor air quality in their respective areas. One solution is to implement an Internet of Things (IoT), which is a system of “smart solutions” that can monitor and connect to their surroundings as well as interact with humans and other systems. An IoT-enabled air pollution monitoring system is proposed in this paper. We designed an IOT system consisting of three main components such as mobile terminals that collect data and send the values to a server, a server that stores this data, and a graphical interface to inform the user about the air quality by displaying data in real-time and/or as graphs. It is a complete Wi-Fi system that has various advantages over existing systems, including adaptability, scalability, and ease of installation. Additionally, the total cost of the system is low, and it may be employed in outdoor or indoor environments such as buildings and companies.","PeriodicalId":249012,"journal":{"name":"2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115241747","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

Predictive management of batteries in microgrids equipped with electric vehicles 电动汽车微电网中电池的预测管理

2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) Pub Date : 2022-07-20 DOI: 10.1109/ICECET55527.2022.9872997

Romain Mannini, J. Eynard, S. Grieu

{"title":"Predictive management of batteries in microgrids equipped with electric vehicles","authors":"Romain Mannini, J. Eynard, S. Grieu","doi":"10.1109/ICECET55527.2022.9872997","DOIUrl":"https://doi.org/10.1109/ICECET55527.2022.9872997","url":null,"abstract":"In recent years, the penetration of renewable energy sources into the power distribution system has increased significantly. Power generation has evolved from centralized power plants towards a decentralized structure. In this context, microgrids, i.e., small-scale power distribution grids, are being deployed to support distributed generation. Microgrids encounter different challenges as they have to be resilient, reliable, robust, and capable of ensuring power quality and handling intermittent energy sources and new energy usages. This paper focuses on the predictive management of microgrids equipped with a bank of batteries and a fleet of electric vehicles. The reference strategy is rule-based. Two model predictive control (MPC) based strategies - in the first one, all the batteries are managed as a unique (fictitious) battery whereas in the second one, those batteries are managed independently – are discussed and evaluated in simulation. First, the results highlight the benefits of using a predictive strategy when it comes to efficiently manage electricity storage and release in microgrids equipped with electric vehicles. As an interesting result, the strategy proposed to predictively manage the batteries as a unique (fictitious) battery is a litte bit less efficient regarding economical cost and carbon dioxide emissions reduction than the predictive strategy intending to manage the batteries independently but computation time is significantly lower with a large fleet of electric vehicles.","PeriodicalId":249012,"journal":{"name":"2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115465459","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

PV Hosting Capacity in Distribution Grids: A Comparison of Quantification Methods 配电网中的光伏托管容量:量化方法的比较

2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) Pub Date : 2022-07-20 DOI: 10.1109/ICECET55527.2022.9873467

Ruben Lliuyacc-Blas, P. Kepplinger

引用次数: 0

Sack Detection and Counting Using Deep Learning 使用深度学习的麻袋检测和计数

2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) Pub Date : 2022-07-20 DOI: 10.1109/ICECET55527.2022.9872638

Nancy Vázquez Morales, Efraín Ibarra Jiménez, Ruben Guerrero Rivera, Ricardo Chapa Garcia

引用次数: 0

Combination of weather factors and Area of High Variation to estimation PM2.5 concentration 结合天气因素和高变异面积估算PM2.5浓度

2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) Pub Date : 2022-07-20 DOI: 10.1109/ICECET55527.2022.9872879

Yu-Ting Lin, Meng-Yuan Jiang, Jiun-Jian Liaw

{"title":"Combination of weather factors and Area of High Variation to estimation PM2.5 concentration","authors":"Yu-Ting Lin, Meng-Yuan Jiang, Jiun-Jian Liaw","doi":"10.1109/ICECET55527.2022.9872879","DOIUrl":"https://doi.org/10.1109/ICECET55527.2022.9872879","url":null,"abstract":"Particulate matter, also referred to as fine PM2.5, is divided into natural and man-mad. That is one of the important indicators of air pollution. It is harmful for human organs, when someone inhales the substance. Four image characteristics and three weather factors are considered to estimat PM2.5. In this paper, providing Area of High Variation(AoHV) a method to calculate the corresponding pixel features in the mage and add the three weather features, import that into the SVR model for calculation; then, that could get the value of PM2.5 be estimated. The AoHV method based on the imagery and weather information provided by the National Monitoring Station. Furthermore, compared the AoHV method with Chen’s method. The results of experimental prove adding three estimations of weather factors, including RH, temperature and wind is better than Chen’s method that only added RH. However, using the AoHV method proposed in this paper, the best estimation result of PM2.5 that $text{R}^{2}$ value reaches 0.944, and the RMSE value reaches 4.131. There is a certain degree of improvement in estimated results.","PeriodicalId":249012,"journal":{"name":"2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127193789","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

Hybrid Photovoltaic Power Forecasting Algorithm for Managing Virtual Power Plants 虚拟电厂管理的混合光伏发电功率预测算法

2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) Pub Date : 2022-07-20 DOI: 10.1109/ICECET55527.2022.9872987

Carlos Santos-Pérez, Miguel Tradacete-ágreda, Guillermo Moreno-Baeza, Pedro Martin-Sánchez, Francisco J. Rodríguez-Sanchez

{"title":"Hybrid Photovoltaic Power Forecasting Algorithm for Managing Virtual Power Plants","authors":"Carlos Santos-Pérez, Miguel Tradacete-ágreda, Guillermo Moreno-Baeza, Pedro Martin-Sánchez, Francisco J. Rodríguez-Sanchez","doi":"10.1109/ICECET55527.2022.9872987","DOIUrl":"https://doi.org/10.1109/ICECET55527.2022.9872987","url":null,"abstract":"This paper proposes a framework, based on the concept of virtual power plant, for promoting the effective participation of remote photovoltaic power generation installations in different energy markets. To this aim, the most significant challenge lies in providing accurate power forecasts for different lead times determined by the markets. To address this challenge, a hybrid forecast strategy based on day-ahead and intra-day prediction models is proposed. For each lead time, a point prediction is provided by choosing, from the outputs of prediction models, the value which most reduces the prediction uncertainty. The framework also requires the cloudiness forecast to improve the accuracy of the prediction, by classifying the days in three categories according to a cloud cover factor, namely, sunny, cloudy and overcast. The predictions are updated every 15 minutes by using real-time information of the day considered. Whenever the algorithm is executed, the generation forecast for the rest of the day is recalculated with a 15-minute resolution. The point prediction is provided with the corresponding confidence interval, which is modelled by a Laplacian distribution function. This interval is of particular importance in the context of energy markets as it allows the risk of penalties for any energy deviation to be modelled. The strategy is evaluated in a VPP working environment demonstrating the potential of the hybrid prediction algorithm.","PeriodicalId":249012,"journal":{"name":"2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127311667","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

Using multiple models to monitor the Service Guarantee in the New Generation of Digital Open Universities (NG-DOU) 多模式监测新一代数字开放大学服务保障

2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) Pub Date : 2022-07-20 DOI: 10.1109/ICECET55527.2022.9872535

M. I. Tiado, Boukar Abatchia Nicolas, Adamou Hassane Nassirou, Toudou Mahaman Mabrouk

引用次数: 0

A New Approach for the Failure Detection and the Self-healing Process in A Solar-based Tap Changing Transformer 太阳能分接变压器故障检测与自修复新方法

2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) Pub Date : 2022-07-20 DOI: 10.1109/ICECET55527.2022.9873028

Abolfazl Babaei, W. Ziomek, A. Gole

引用次数: 0

The Effect of Frequency Droop Damping on System Parameters and Battery Sizing During Load Change Condition 负载变化条件下频率降阻尼对系统参数和电池尺寸的影响

2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) Pub Date : 2022-07-20 DOI: 10.1109/ICECET55527.2022.9873511

Mohammed F. Allehyani, Mohamed Abuagreb, B. Johnson

{"title":"The Effect of Frequency Droop Damping on System Parameters and Battery Sizing During Load Change Condition","authors":"Mohammed F. Allehyani, Mohamed Abuagreb, B. Johnson","doi":"10.1109/ICECET55527.2022.9873511","DOIUrl":"https://doi.org/10.1109/ICECET55527.2022.9873511","url":null,"abstract":"Inverter-based resources (IBR) have been widely studied for their advantages on the current power systems. This increase in the penetration of renewable energy has raised some concerns about the stability of the existing grid. Historically, power systems are dominated by synchronous generators that can easily react to system instability due to high inertia and damping characteristics. However, with IBR, the control of the inverter plays a crucial role in contributing to the system stability and enhancing the functionality of the inverters. One of these novel control methods is droop control. Droop characteristics are used to control voltage, frequency, and active and reactive power. This paper presents the impact of frequency droop damping on system frequency, real power, and the rate of change of frequency with distributed energy resources. Also, battery sizing is suggested based on the results. The results also show the need for optimal selection for the frequency droop damping to fulfill the appropriate battery size in terms of cost and performance. The simulations are carried out in an electromagnetic transient program (EMTP).","PeriodicalId":249012,"journal":{"name":"2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124980948","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

Introductory Computer Programming Teaching and Learning Approaches: Review 计算机程序设计教学与学习方法导论

2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) Pub Date : 2022-07-20 DOI: 10.1109/ICECET55527.2022.9873427

A. Mbiada, Bassey Isong, Francis Lugayizi, A. Abu-Mahfouz

{"title":"Introductory Computer Programming Teaching and Learning Approaches: Review","authors":"A. Mbiada, Bassey Isong, Francis Lugayizi, A. Abu-Mahfouz","doi":"10.1109/ICECET55527.2022.9873427","DOIUrl":"https://doi.org/10.1109/ICECET55527.2022.9873427","url":null,"abstract":"Computer programming is at the core of the computing discipline and its understanding and mastery are critical to a student’s success. However, its abstract nature makes it difficult to teach, learn, understand and assimilate. Moreover, most introductory programming (IP) modules are now offered by several students with diverse backgrounds (computing and non-computing) in most institutions as a means of ensuring digital core competencies in all disciplines. This has led the majority of these students to face several challenges leading to a lack of motivation, significant failure and dropout rates despite several teaching and learning methods and tools that have been proposed, designed and developed. This paper, therefore, surveyed different methods and tools geared at IP teaching and learning to improve their learning experience. Several studies were considered and the findings were grouped into delivery-based, content-based, tool-based, and assessment-based approaches. In addition, the advantages and disadvantages of the reviewed methods were also illustrated, as well as the contexts of their application. Also, several challenges and opportunities for future research were identified.","PeriodicalId":249012,"journal":{"name":"2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125948357","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