Energy Systems

This area aims to generate studies and develop new techniques and methodologies that assist the operation and planning of Energy Systems (ES) considering the constant changes dictated by the evolution in all stages of the electric energy generation, transmission and distribution process. The process chain involved in an ES has the following premises: quality of supply and economy. To achieve these objectives, in the operation planning phase, the aim is to meet the demand with reliability, safety of equipment and installation (satisfied operational restrictions) and operational economy. And, in the planning operation, we seek to make the objectives of the operation feasible by allying minimization of expansion costs. The treatment of these issues requires the use of sophisticated computational methods and models, the developments of which are research objects in the Energy Systems Area of the Graduate Program in Electrical Engineering at UFPR.

This line of research basically addresses three main objectives:

1. Development and improvement of mathematical techniques for transient and permanent analysis for the operation of electric power systems (SEP). This approach includes studies on power flow, optimal power flow, hydrothermal dispatch, state estimation, electromagnetic transients, electromechanical stability, among others.
2. Development of new techniques for modeling and simulation of SEP in the presence of static controllers / converters, alternative energy sources and several emerging technologies for the control and operation of electric systems.
3. Application of metaheuristics for operation and planning of electrical systems, such as: load forecasting, allocation of control devices and development of intelligent systems to assist operators of electrical systems and smart grids in the development of their activities operative. These objectives converge towards a single goal, which is to develop new mathematical models capable of operating and planning the SEP better considering the constant technological changes.

• Alexandre Rasi Aoki (applications of intelligent systems for power systems and smart grids)
• Clodomiro Unsihuay Vila (planning of electricity generation, transmission, distribution and markets systems; smart grids; sustainable energy planning)
• Elizete Maria Lourenço (Analysis and operation of transmission and distribution systems, real time modeling, substation level network modeling, state estimation in electrical systems)
• Gustavo Henrique da Costa Oliveira (modeling of inductive equipment (power transformers and instruments), estimation of oscillatory modes and applications of phasor measurement units (PMUs), control systems for mini-nets with renewable energy)
• João Américo Vilela (converters for renewable sources, microgrids, smart grids)
• Juliana Almansa Malagoli (Electrical Machine Projects, Electromagnetic Device Projects, Finite Element Method and Optimization Techniques)
• Roman Kuiava (Power System Stability and Control, Monitoring of Power Systems via PMUs, Development of Methodologies for Dynamic Security Assessment in Power Systems, Distributed Generation, Frequency, and Voltage Control of Microgrids, Robust Control Techniques)
• Thelma Solange Piazza Fernandes (planning and operation of electrical power systems and distribution networks, using optimization techniques in related problems)
• Odilon Luís Tortelli (Computational methods for the operation and planning of electrical power systems, FACTS Controllers and Smart Grids)
• Leandro dos Santos Coelho (Artificial Intelligence, Machine Learning, Data Science, System Identification, Advanced Control Systems, Time Series Forecasting, Optimization, Metaheuristics, Artificial Intelligence Applied to Power Systems)
• Ricardo Schumacher (monitoring the stability of power systems via estimation of oscillatory modes, identification of systems in the frequency domain)