Program
The program schedule is based on the GMT-3 time zone (Brasilia time)
The complete program can be downloaded on the button below.
- November 18th 2021
- November 19th 2021
November 18th 2021
8:20 am – 8:50 am Opening Session
No workshops in this session.
9:00 am – 9:50 am Communication Infrastructure Enabled and Data-driven Monitoring, Protection and Control of Future Power/Energy Systems
Session Chair: Prof. Dr. Kleber Melo (UnB)
Communication Infrastructure Enabled and Data-driven Monitoring, Protection and Control of Future Power/Energy Systems
Prof Vladimir Terzija, Humboldt Fellow, IEEE Fellow
Skoltech, Moscow, Russian Federation
10:00 am – 11:00 am Session on Power Systems I
Session Chair: Prof. Dr. Fernanda Arioli (UNICAMP)
1 – Comparison Between Two-Level and Modular Multilevel Converters in High Voltage Direct Current Systems Under Fault Conditions
2 – Time-Domain-Based Relay Model to Assess Line Proteciton Nearby HVDC Systems
3 – Past, Present, and Future of Traveling Wave-Based Fault Location Solutions
4 – Probabilistic Analysis of DG Anti-Islanding Protection Security Against Momentary Short-Circuits in Distribution Grids
5 – Analysis of Source and Load-side High Impedance Faults Using Stockwell Transform
11:10 am – 12:00 pm MERGE – Microgrids for efficient, reliable and greener energy
Session Chair: Prof. Dr. Fernando Melo (UnB)
MERGE – Microgrids for Efficient, Reliable and Greener Energy
Prof. Dr. Luiz Carlos Pereira da Silva
University of Campinas, UNICAMP
Microgrids are a strong alternative for the evolution of traditional electrical systems towards a more flexible and resilient network. Although microgrids are often deployed in remote communities and military bases to provide energy independence and continuity, these benefits can easily be extended to local communities, university campuses, and even manufacturing centers. In the Brazilian case, these benefits are even more relevant, as electricity consumers suffer interruptions in supply for an average of 14.35 hours per year (2017). These supply interruptions are estimated to have an impact of U$ 84,5 million. Microgrids are a clear alternative to combat interruption and have the potential to improve other aspects of the electricity supply. A microgrid, properly planned and operated, can reduce losses, increase the efficiency of renewable energy and create new business models. It is estimated that around U$ 570 million will flow into the microgrids market in Brazil by 2025, and spending on global implementation is expected to reach almost US$ 112 billion by 2026. The different technologies related to distributed renewable sources, energy storage, demand management, smart metering and sensing, electric vehicles, advanced communication systems, management systems, and optimization of distributed resources; appear independently and with different technical and commercial maturity levels. Microgrids emerge with the primary function of coordinating and merging different technologies in a single platform. As a result of this coordinated operation, operating the micro-grids in isolation from the main network is possible since the design of a micro-network already includes physical and management resources to make this operation feasible. In this context, this project seeks to develop knowledge to anticipate opportunities, support norms, suggest standards, face threats and generate added value through the study of the implementation of real applications. Microgrids will be developed, tested, and operated in both normal (connected) and emergency (island) modes. In addition, the distribution network will be integrated to increase efficiency, reliability, service quality, and energy quality. The integration will also allow reducing losses, greenhouse gas emissions, and maximizing renewable resources.
1:30 pm – 2:20 pm Big Data Analytics for Predicting, Managing and Mitigating Outages
Session Chair: Prof. Dr. Kleber Melo (UnB)
Big Data Analytics for Predicting, Managing and Mitigating Outages
The topic of Big Data and associated analytics became prominent as the huge amounts of data became available through the space exploration, weather forecasting and medical biogenetic investigations. Social media and outlets such as Google, YouTube, Facebook, Amazon and others have also faced similar problems of handling huge data sets. The power systems are now experiencing huge amount of data obtained through field measurements and external sources such as variety of weather and other ambient data. This talk focuses on the role of Big Data analytics in managing and controlling future power system by predicting power system outages at different spatiotemporal scales. This talk focuses on importance of outage prediction, and gives examples how the Big Data analytics are recently used to successful predict transmission and distribution faults, as well as participation of distributed energy resources in various grid services. Future trends are also discussed.
2:30 pm – 3:30 pm Session on Power Systems II
Session Chair: Dr. Amauri Gutierrez (UnB)
1 – On the Effects of EMI and the Soil Structure on Transmission Line Parameters — Part I: Theoretical Model
2 – On the Effects of EMI and the Soil Structure on Transmission Line Parameters — Part II: Impacts on Fault Locators
3 – Computation of Transient Voltages on Wind Turbines on Frequency-Dependent Soil Caused by Lightning Strikes
4 – Transient Responses on Transmission Lines Located Above Frequency-Dependent Soil with Variable Water Content
5 – Modeling and Control of Isolated ModularHydrokinetic Energy Systems
3:40 pm – 4:30 pm Distribution System Resilience: Modeling and Optimization
Session Chair: Prof. Dr. Leandro Araújo (UFJF)
Distribution System Resilience: Modeling and Optimization
Dr. Anamika Dubey
WSU Pullman, USA
Extreme weather events threaten the power delivery infrastructure causing an extended disruption of electricity supply to the critical services. Recent fire-related damages caused by high-voltage transmission lines coupled with dry weather are costing billions of dollars annually, with the only practical solution being de-energizing the lines and disrupting the power supply to millions of customers. Most impacts are observed at the mid and low voltage distribution systems due to inadequate incorporation of resilience at the distribution level. The changing nature of the grid and extreme weather events motivate new mechanisms to manage grid operations by leveraging smart grid technologies. For example, the recent extended outage in Texas due to resource adequacy concerns from an unusual cold front motivates new operational solutions to partially support critical and non-critical services. This tutorial will introduce the approach to model and quantify the impacts of extreme weather events on the power distribution grid and discuss planning and operational solutions to improve the distribution grid resilience. The use cases will be demonstrated using standard distribution test feeders.
4:40 pm – 5:40 pm Session on Power Systems III
Session Chair: Prof. Dr. Felipe Lopes (UFPB)
1 – Computational Impacts and Benefits of the Freezing of the Jacobian Matrix in the HKW Method
2 – Investigation Study on the Voltage Stability Status of a Power Flow Problem Solution
3 – A Review on Techniques to Increase Hosting Capacity of Distribution Systems to DERs
4 – Evaluation of Energy Losses Using Smart Meter Data
5 – Techno-economic assessment of photovoltaic plants with and without tracking systems in Brazil
November 19th 2021
8:00 am – 9:00 am Session on Communication Networks I
Session Chair: Prof. Dr. Rafael Timóteo (UnB)
1 – Preventing APT attacks on LAN networks with connected IoT devices using a zero trust based security model
Bruno Rocha, Laerte Melo and Rafael de Sousa Jr.
2 – Hybrid Architecture for Intrusion Prevention and Detection in IoT Networks
Rafael Zerbini Alves da Mata, Francisco Lopes de Caldas Filho, Fabio L. L. Mendonça, Awatef A. Y. R. Fares and Rafael Timóteo de Sousa Jr
3 – ADS-B Vulnerabilities Test Platform
Diego Fernandes Marques and Daniel Chaves Café
4 – NERD: a Network Exfiltration Rootkit Detector based on a Multi-agent Artificial Immune System
Mateus B. S. Terra and João J. C. Gondim
5 – Integrating Zero Trust in the cyber supply chain security
Thiago Amaral and João Gondim
9:10 am – 10:00 am Datasets and Standardized Artificial Intelligence for 5G and 6G with Applications in MIMO Beamforming, Sensing and Smart Grids
Session Chair: Prof. Dr. André de Almeida (UFC)
Datasets and Standardized Artificial Intelligence for 5G and 6G with Applications in MIMO Beamforming, Sensing and Smart Grids
Prof. Dr. Aldebaro Klatau
UFPA, Brazil
Artificial intelligence (AI), such as machine learning (ML) methods using deep neural networks, will be increasedly used to optimize the performance of future mobile networks.
In 5G and 6G networks, AI/ML will be used together with network slicing and other techniques to support use cases with very different requirements. But AI/ML for communications has not reached the maturity observed in other areas. Different from, e.g., computer vision and speech recognition, communications heavily rely on standards (3GPP, ITU, etc.) and design and assessment methodologies for model-based algorithms. To make AI/ML for communications vigorously expand, these two aspects need to be taken in account. Therefore, this talk discusses ongoing standardization efforts to facilitate AI/ML in 5G/6G, as well as data-driven methodologies to generate realistic datasets and design ML algorithms that outperform model-based ones in rigourous benchmarks. A brief introduction to deep supervised and reinforcement learning is also provided. The talk is concluded with selected examples of AI/ML in 5G/6G for MIMO beamforming, sensing using communication systems, digital twins and smart grids.
10:10 am – 11:10 am Session on Communication Networks II
1 – Practical Hardware Models and Beamforming Design for IRS-Assisted MIMO Networks
Yuri Sales Ribeiro, Francisco Hugo Costa Neto and André L. F. de Almeida
2 – Channel Estimation and Performance Evaluation of Multi-IRS Aided MIMO Communication System
Kenneth Brenner dos Anjos Benicio, Bruno Sokal and André Lima Férrer de Almeida
3 – Design of a Low Noise Amplifier for Through-The-Earth Communication
Adolfo de Souza Serique and Wellington Avelino Do Amaral
4 – RF SP4T FET Switch at Ku-band for Satellite Communication
Vinicius Do Nascimento, Daniel de Sousa and Sébastien Rondineau
5 – Technical Feasibility Study of the Current Carbon Nanotube Field Effect Transistor Technology in a Zigbee Transceiver Design
Ciro Barbosa Costa and Wellington Avelino Do Amaral
11:20 am – 12:10 pm A Walkthrough MTC evolution toward 6G: key drivers, requirements, and use-cases
Session Chair: Prof. Dr. Tarcisio Ferreira Maciel (UFC)
A Walkthrough MTC evolution toward 6G: key drivers, requirements, and use-cases
Prof. Dr. Hirley Alves
University of Oulu
Machine-type Communication (MTC) has revolutionized the wireless communications industry by shifting the focus from broadband towards the Internet of Things (IoT). Initially, within 5G, two service modes were introduced to cover a large number of use-cases: massive MTC (mMTC) and critical MTC (cMTC) (often referred to as ultra-reliable low-latency communication (URLLC)). mMTC focuses on providing connectivity to several devices that are often battery constrained with limited computational capability and heterogeneous and sporadic traffic patterns. On the other end is cMTC aimed at ultra-reliable low latency communication stringent needs on resilience and dependability. However, despite the accomplishments achieved so far with 5G, these service modes are not enough. As a result, we are experiencing the emergence of novel service classes mixing massive and critical MTC requirements with the broadband ones, creating a palette of novel services. Such services will be prominent in the next generation, 6G. Therefore, in this keynote, we will walk through the MTC (r)evolution and present key drivers, requirements, and use-cases towards 6G.
1:30 pm – 2:20 pm Spectrum access evolution to enable next mobile networks generations
Session Chair: Prof. Dr. Yuri Carvalho Barbosa Silva (UFC)
Spectrum access evolution to enable next mobile networks generations
Dr. Fabiano Chaves
Increasing demand and use of spectrum is a trend that has been observed since the first generations of mobile networks, and their communication channels some hundreds of kilohertz-wide, up to 5G and its capability of operating with gigahertz-wide blocks of spectrum. There is no indication of a change in this trend – on the contrary, the envisaged future mobile networks and applications have as one of their enablers the use of more spectrum in a more efficient way. In this talk we will discuss ongoing and future developments in the spectrum management domain for enablement of next generations of commercial mobile networks.
2:30 pm – 3:30 pm Session on Communication Networks III
Session Chair: Prof. Dr. Diego Aguiar Sousa (IFCE)
1 – A Collaborative Weightless Neural Network
Iago P. da Silva, Jorge G. dos Santos and Alexandre S. Nery
2 – Source Extraction based on Binary Masking and Machine Learning
Mateus S. Moura, Alexandre M. Lucena, Ricardo Suyama and Kenji N. Filho
3 – Student Dropout Prediction in MOOC using Machine Learning Algorithms
Elias Bernardo Magalhães, Giovanni Santos, Francisco Carlos Molina Duarte Júnior, Joao Paulo J. da Costa and Rafael Timóteo De Sousa Júnior
4 – Radio Frequency Signature based Implicit Object Movement Detection in an Indoor Environment
Seungnam Han and Euiseok Hwang
5 – Solid waste management and monitoring system for smart cities: development of a low-cost sustainable IoT architecture using GPRS/GSM
Matheus Santos Monteiro, Francisco L. de Caldas Filho, Pedro de O. Moura E Souza, Vinícius Salgueiro Costa, Gustavo P. C. P. da Luz, Luís Felipe de O. Carvalho and Rafael Timóteo de Sousa Jr
3:40 pm – 4:30 pm Power Savings at High-Speed Data Transmission – Beyond 100Gb/s
Session Chair: Prof. Dr. Sébastien Rondineau (UnB)
Power Savings at High-Speed Data Transmission – Beyond 100Gb/s
Júlio César Rodrigues Fernandes de Oliveira
CEO Idea Sistemas Eletrônicos, IDEA
Convergence between Photonics and Microelectronics is the path to keep following the Moore law at power savings perspective. In this talk the design of integrated photonics circuits, processing data in photonics domain, will be discussed highlighting its combination with low power ASIC design. The combination of this technologies are leading the path for power savings at high speed data transmission, allowing data paths from 100Gb/s to 1.2 Tb/s.
4:40 pm – 5:00 pm Closing Session and Best Paper Awards
No workshops in this session.