2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)最新文献_第10页

Electrification on the Brazilian Highway: a case study 巴西高速公路电气化:一个案例研究

2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) Pub Date : 2021-09-15 DOI: 10.1109/ISGTLatinAmerica52371.2021.9543012

C. G. Bianchin, Prscila Faco De Melo, Cretan Pires de Oliveira, R. Schmal, Victor Gati, Z. Nadal

{"title":"Electrification on the Brazilian Highway: a case study","authors":"C. G. Bianchin, Prscila Faco De Melo, Cretan Pires de Oliveira, R. Schmal, Victor Gati, Z. Nadal","doi":"10.1109/ISGTLatinAmerica52371.2021.9543012","DOIUrl":"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543012","url":null,"abstract":"Electric vehicles (EVs) are a solution to combat greenhouse gas emissions (GHG) and help renewable integration. The biggest issue with EV in countries where the infrastructure of EV charges is not yet largely implemented is the called “range anxiety”, but in Brazil, this problem has another factor as the high cost of the EV Charger as the vehicles itself. The high cost of EV in Brazil is a limiting factor to growth the infrastructure. This project tackles this difficulty, developing and implementing the electrification of a highway in southern Brazil, which crosses the State of Paraná from east to west, connecting cities with EV infrastructure. This study analyzed the EVs available in the region and used its effective range to calculate the distance between EV charging stations trying to reduce the so called “range anxiety”. This project offers charging stations with several types of connectors (in order not to restrict EVs models), also, to encourage the use of electric vehicles on this electrified road, there is no fee during the project period (2 years).","PeriodicalId":120262,"journal":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129649504","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

A Comparative Assessment of Embedded Databases for Smart Metering Systems 智能计量系统中嵌入式数据库的比较评估

2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) Pub Date : 2021-09-15 DOI: 10.1109/ISGTLatinAmerica52371.2021.9543058

J. Olivares-Rojas, E. Reyes-Archundia, J. Gutiérrez-Gnecchi, Ismael Molina-Moreno, Jaime Cerda-Jacobo, Arturo Méndez-Patiño

引用次数: 1

Load Forecasting of Food Retail Buildings with Deep Learning 基于深度学习的食品零售建筑负荷预测

2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) Pub Date : 2021-09-15 DOI: 10.1109/ISGTLatinAmerica52371.2021.9543085

Carolyn Goodman, J. Thornburg, S. Ramaswami, J. Mohammadi

{"title":"Load Forecasting of Food Retail Buildings with Deep Learning","authors":"Carolyn Goodman, J. Thornburg, S. Ramaswami, J. Mohammadi","doi":"10.1109/ISGTLatinAmerica52371.2021.9543085","DOIUrl":"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543085","url":null,"abstract":"Electrical grids are traditionally operated as multi-entity systems with each entity managing a geographical region. The current movement toward energy democratization and decarbonization is resulting in higher penetration of distributed energy resources (DERs) and intermittent, renewable generation. This process in turn is increasing the number of grid entities (agents). The paradigm shift is also fueled by increased adoption of intelligent sensors collecting data and actuators for advanced processing and computing. Predicting the future load of different consumers has become increasingly important for grids as they must balance intermittent generation to meet instantaneous demand. The main challenges in demand forecasting stem from the heterogeneity of loads and their data. Deep learning provides tools to utilize the collected data for predicting future load profiles and anticipating high-demand scenarios. This article presents a deep learning approach for load forecasting of commercial buildings with multiple refrigeration units. It then presents a case study demonstrating the efficacy of this approach for predicting refrigeration and freezer load in food retail stores.","PeriodicalId":120262,"journal":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132998804","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

A Proposal of Natural Ester Immersed GSU Transformers for Better Efficiency of Wind Farms and Its Intermittences 天然酯浸式GSU变压器提高风电场效率及其间歇期的建议

2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) Pub Date : 2021-09-15 DOI: 10.1109/ISGTLatinAmerica52371.2021.9543056

R. I. da Silva, H. Tatizawa

引用次数: 0

Inertia Constrained Economic Dispatch in a Renewable Dominated Power System 可再生能源主导电力系统的惯性约束经济调度

2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) Pub Date : 2021-09-15 DOI: 10.1109/ISGTLatinAmerica52371.2021.9542998

Satyaki Banik, Md. Sadman Sakib, S. Chowdhury, Nahid-Al-Masood

引用次数: 3

Study Of A Hybrid Photovoltaic-Wind Smart Microgrid Using Data Science Approach 基于数据科学方法的光伏-风能混合智能微电网研究

2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) Pub Date : 2021-05-14 DOI: 10.1109/ISGTLatinAmerica52371.2021.9543064

J. C. Saire, Joseph Roque, Franco Canziani

引用次数: 0

Ransomware Detection Using Deep Learning in the SCADA System of Electric Vehicle Charging Station 基于深度学习的电动汽车充电站SCADA系统中的勒索软件检测

2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) Pub Date : 2021-04-15 DOI: 10.1109/ISGTLatinAmerica52371.2021.9543031

M. Basnet, Subash Poudyal, M. Ali, D. Dasgupta

{"title":"Ransomware Detection Using Deep Learning in the SCADA System of Electric Vehicle Charging Station","authors":"M. Basnet, Subash Poudyal, M. Ali, D. Dasgupta","doi":"10.1109/ISGTLatinAmerica52371.2021.9543031","DOIUrl":"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543031","url":null,"abstract":"The Supervisory control and data acquisition (SCADA) systems have been continuously leveraging the evolution of network architecture, communication protocols, next-generation communication techniques (5G, 6G, Wi-Fi 6), and the internet of things (IoT). However, SCADA system has become the most profitable and alluring target for ransomware attackers. This paper proposes the deep learning-based novel ransomware detection framework in the SCADA controlled electric vehicle charging station (EVCS) with the performance analysis of three deep learning algorithms, namely deep neural network (DNN), 1D convolution neural network (CNN), and long short-term memory (LSTM) recurrent neural network. All three-deep learning-based simulated frameworks achieve around 97% average accuracy (ACC), more than 98% of the average area under the curve (AUC) and an average F1-score under 10-fold stratified cross-validation with an average false alarm rate (FAR) less than 1.88%. Ransomware driven distributed denial of service (DDoS) attack tends to shift the state of charge (SOC) profile by exceeding the SOC control thresholds. Also, ransomware driven false data injection (FDI) attack has the potential to damage the entire BES or physical system by manipulating the SOC control thresholds. It's a design choice and optimization issue that a deep learning algorithm can deploy based on the tradeoffs between performance metrics.","PeriodicalId":120262,"journal":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127164376","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: 20

Joint Matrix Completion and Compressed Sensing for State Estimation in Low-observable Distribution System 低可观测配电系统状态估计的联合矩阵补全与压缩感知

2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) Pub Date : 2021-04-13 DOI: 10.1109/ISGTLatinAmerica52371.2021.9543006

Shweta Dahale, B. Natarajan

引用次数: 8