Projects
Analysis of protection and control systems
Coordinator: Dr. Daniel Motter
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Description: Protection and control systems are essential for the proper operation of the electrical power system. The protection system aims to isolate and eliminate faults, in order to prevent the defect from causing greater consequences. The control system, on the other hand, allows for meeting operational needs in the network, such as maintaining adequate levels of frequency and voltage, for example. The objective of this research project is to identify, analyze and propose methodologies for analyzing protection and control in electrical power systems. It is expected that the results will identify operational situations and methodologies that assist in the operation and protection of electrical power systems.
Intelligent data analysis
Coordinator: Dr. Huei Diana Lee
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Description: This project aims to research and develop methods and tools that assist in solving problems in the health area. Three main themes can be mentioned: (1) Artificial Intelligence and Mining, (2) Biomechanics and (3) Telemedicine.
Automatic trap based on wingbeat frequency to improve malaria control and monitoring
Coordinator: Dr. André Gustavo Maletzke
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Description: This project is a collaboration between Wester Parana State University and the University of New South Wales, funded by IVCC. Our goal is to develop a trap that uses mosquito sounds and artificial intelligence to identify and count species from a distance.
Evaluation of artificial intelligence methods for detecting computer attacks
Coordinator: Dr. Renato Bobsin Machado
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Description: This research work is in the area of computer and information network security, specifically intrusion detection using Artificial Intelligence (AI) methods. For this purpose, a survey of the state of the art regarding security methods for corporate networks, cloud and IoT will be carried out. Subsequently, hybrid detection methods based on AI techniques will be evaluated and proposed, such as: Artificial Neural Networks, k-Nearest Neighbors algorithm, evolutionary algorithms and neuro-evolutionary algorithms. The main objective is to combine these methods in order to achieve better attack detection rates in relation to these same techniques approached individually.
MCTIC/CNPQ Call No. 28/2018 - universal/band a - microgrid based on renewable energy sources: a proposal for electronic control and management of energy supply and demand
Coordinator: Dr. Cassius Rossi de Aguiar
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Description: Research and development projects that investigate structures that enable the integration of alternative energy sources are being encouraged by agencies such as ANEEL (National Electric Energy Agency) and the Ministry of Science, Technology, Innovations and Communications - MCTIC with the intention of promoting solutions to the current energy supply problems in Brazil. In this context, this research project aims to develop an experimental platform for a microgrid, which will allow the analysis and control of alternative sources and energy storage devices when connected to the distribution network. In general, the experimental platform of a microgrid will allow the study of energy supply and demand, as well as network management and energy efficiency of the microgrid. Specifically, this project aims to develop a strategy to control the power flow between alternative sources, storage and the distribution network, so that the operational limits of both the microgrid and the distribution network are respected. Consequently, the differential of this project focuses on improving the operation of the microgrid, seeking to maximize the useful life of alternative sources and storage, as well as maximizing the quality of energy and protection of the distribution network, through a control strategy that associates all the converters and inverters of the microgrid. In addition, another differential lies in the development and construction of the converters used to process the energy from alternative sources and storage, which will contribute to the development of national technology. The search for solutions in this context is currently the state-of-the-art in this subject. Thus, the results obtained from the experimental platform will be used to analyze scenarios, such as load transients, islanding-type contingencies, voltage dips and surges, and frequency variations, allowing the development of a platform that meets the specific needs found in the distributor's network, alternative sources, and storage systems. Finally, at the end of the project, the results obtained are expected to provide subsidies to electric power concessionaires, manufacturers, and researchers in the area, as well as practical procedures to be adopted to minimize operating costs.
Dynamics and control of distributed generation systems
Coordinator: Dr. Romeu Reginato
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Description: Distributed generation systems have grown in terms of penetration in electric power generation, incorporating several primary generation sources such as solar, wind, hydrogen, biomass, among others. These systems incorporate a wide range of generation technologies, in addition to technologies under great development such as smart inverters and energy storage systems. This project aims to research aspects of modeling, analysis, dynamics and control of these generation systems, aiming at their integration into the electrical system either directly or through microgrid architectures, collaborating with the development of research and technology for smart electrical grids.
Implementation of a multiplatform laboratory to evaluate control, operation and protection strategies in microgrids
Coordinator: Dr. Adriano Batista de Almeida
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Description: evaluate the existing laboratory microgrid models; define and specify the equipment and components of the laboratory microgrid; model the microgrid in a computational environment; install the physical microgrid equipment; implement different control techniques for the generators connected to the microgrid; evaluate the control techniques in the laboratory microgrid based on the results obtained in the computationally modeled microgrid.
Modeling and analysis of electrical energy systems
Coordinator: Dr. Adriano Batista de Almeida
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Description: This project aims to create a knowledge base and a set of computational prototypes for the planning, operation and control of electrical energy systems, especially due to the increased insertion of distributed generators, the implementation of electrical energy microgrids, and the advent of intelligent electrical energy networks.
Modeling and development of algorithms to improve the planning of the expansion and operation of medium voltage overhead distribution networks
Coordinator: Dr. Ricardo Luiz Barros de Freitas
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Description: the increase in the consumption and use of electronic equipment generates a great need to expand the electricity distribution networks and improve their operation to meet this greater demand for energy. In order to carry out efficient planning to find the most appropriate strategies for the expansion and operation of the electricity systems, radial topologies of the electricity system will be modeled and determined based on a parameter, be it electrical losses, construction cost or a combination of both. Applications of Heuristics and Metaheuristics through algorithms for application in the Planning of the Expansion and Operation of Electricity Distribution Systems with the purpose of finding better and feasible radial topologies of the system based on the parameters. To validate the results to be found, the load flow will be resolved to determine the operating status of any new feasible radial. The tests will be carried out on systems contained in the specialized literature.
New technologies applied to system control, distributed generation and smart grids
Coordinator: Dr. Diogo Marujo
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Description: the integration of distributed generation sources in electrical systems gave rise to the so-called active distribution networks. In scenarios with the presence of active distribution networks, these can generate, during certain periods of the day, amounts of power greater than the load and, therefore, the excess energy can be exported to the transmission system. The presence of local generation in the distribution system also allows the formation of microgrids, that is, sections of the distribution system that can operate in an isolated manner from the main grid. In addition, the system is increasingly observable and controllable, especially with the growing presence of smart grids. These paradigm shifts result in a series of implications in the areas of control, planning and operation of electrical systems. In this sense, the objective of this research project is to evaluate and develop new technologies that allow for the control of systems, with particular interest, but not restricted, to electrical power systems. To this end, concepts associated with distributed generation, microgrids, smartgrids and the use of artificial intelligence techniques are addressed.
Operation, planning and investment in electrical systems with distributed generation
Coordinator: Dr. Roberto Cayetano Lotero
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Description: Due to the introduction of DG in the electrical grid, the hypothesis that flows in the transmission grid are quite predictable and that distribution grids are passive is not entirely correct. Therefore, a new approach to system planning and operation must take into account the new requirements imposed by DG, as well as the role played by private investors. In order to respond to some of these problems, the objective of this project is to define a methodological framework to establish expansion strategies in the electrical grid, considering some rules that favor investments in DG. The emphasis is given to regional energy planning incorporating DG, since the latter can be seen as a solution for meeting local/regional demand for electrical and/or thermal energy. The modeling framework will seek to incorporate the characteristics and requirements of the region under analysis, while allowing integration with global solutions. To achieve the desired results, a modularized model is proposed that includes: a simulation model for the operation of the regional electrical system, a model for forecasting regional electrical energy demand, a model for defining supply alternatives that incorporates the analysis of social and environmental factors, a model for investment in DG, a model for expanding the grid where DG exists, a model for financial analysis of the regional distribution company and a tariff model. A set of tools such as: mathematical programming, microeconomic models, planning techniques and risk analysis models will be used to achieve the proposed objectives.
Optimization and planning of electrical power systems
Coordinator: Dr. Carlos Roberto Mendonça da Rocha
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Description: This project focuses on research in the area of electrical energy systems, with an emphasis on planning and analysis aspects in the energy generation, transmission and distribution segments. Planning plays a key role in the Brazilian electrical sector, due to the impact of this public good (electricity) on society. In order for the production of this product to reach Brazilian consumers, an intricate system of components is required, requiring the development of methodologies, models and tools for the correct expansion of the system. Thus, this project encompasses topics such as: optimization algorithms, mathematical modeling, linear programming, non-linear programming, and electrical systems planning.
PD-00063-3085/2022 PA3085 - Minimum requirements for anti-islanding protection functions and regulation curves for distributed generators
Coordinator: Dr. Daniel Motter
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Description: This is a project with technical and financial support from the Electricity Sector Research and Development Program (ANEEL), through the R&D project (PD-00063-3085/2022) entitled “MINIMUM REQUIREMENTS FOR ANTI-ISLANDING PROTECTION FUNCTIONS AND REGULATION CURVES FOR DISTRIBUTED GENERATORS” of the CPFL Energia group. The project has an inter-institutional research team composed of the following implementing entities: Universidade Estadual de Campinas (UNICAMP), Escola de Engenharia de São Carlos – Universidade de São Paulo (EESC-USP), Universidade Estadual do Oeste do Paraná (UNIOESTE) and Energy Research and Analytics (ERA). The coordinator of the project and the inter-institutional research team is Professor Walmir de Freitas Filho from UNICAMP. The coordinator of the UNIOESTE entity is Professor Daniel Motter, and the amount of R$ 845,064.00 is earmarked for UNIOESTE. The project is defined in the electricity distribution segment and in the PA – Applied Research chain phase. CPFL Energia is a group of companies in the electricity sector and, through the Research and Technological Development Program for the Electric Energy Sector of the National Electric Energy Agency (ANEEL), must allocate a percentage of its Net Operating Revenue to R&D. ANEEL is the regulatory agency for the electricity sector. In this project, UNIOESTE relies on the administrative intervention of the Foundation for Support to Education, Extension, Research and Postgraduate Studies – FUNDEP for the management of financial resources. Methodology: (1) analysis of the risk of failure of the anti-islanding protection of DGs; (2) compromise solution regarding minimum requirements for DG regulation curves; (3) technical-economic to quantify the costs caused by DGs in the need for reinforcements in the network and in electrical losses.
Planning and operation of electrical energy systems in the new paradigms of active networks
Coordinator: Dr. Edgar Manuel Carreño Franco
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Description: distributed energy resources; automation; efficient real-time communication; market structures; shared economy; and other "disruptive" technologies are increasingly being incorporated into electrical power systems, especially distribution systems, leading the sector to change the planning and operation paradigms of these networks, previously considered passive, to become active, both on the supply and demand sides. Therefore, it is necessary to develop new mathematical models and solution techniques to incorporate these technologies into planning and operation activities. This research project encompasses several subprojects that deal with different problems, such as modernization of protection schemes with bidirectional flow, inverter modeling, network representation, effects of demand response policies, among others.
Use of geoprocessing and artificial intelligence for monitoring ecosystems in the field
Coordinator: Dr. Adriana Tokuhashi Kauati
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Description: The United Nations, through the SDGs (Sustainable Development Goals), is calling on the world to take action to end poverty and preserve the environment. In particular, SDG 2 - Zero Hunger and Sustainable Agriculture is of greatest interest to agribusiness, which needs to increase production while preserving the environment and respecting SDG 15 - Life on Land. Thus, one of the great challenges of expanding agriculture is not only the economic issue, but also how to avoid causing harm to the planet.
Acessos: 2649