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Power Electronics and Energy Conversion

AMS research line aims at the continuous improvement of industrial processes through efficient mechanisms for energy conversion and control, enhancing their performance. Power electronics plays a fundamental role in transforming industrial sectors, including power supplies, lighting systems, frequency inverters for motor drives, and electric vehicles. Additionally, power electronics is present in renewable energy conversion systems, such as solar and wind power, as well as energy storage systems. Therefore, this field aligns with the recent and ongoing global energy transition.

In general terms, the research aims to increase the efficiency and power density of static power converters used in different industrial segments, focusing on the development of new topologies, modulation strategies, and the application of linear and nonlinear control techniques, adaptive techniques, and AI-based algorithms.

Industrial Electrical Drives

In the context of industrial electrical drives, AMS research line contributes to the development of monitoring techniques for production processes involving motors, with the aim of fault detection, diagnosis, and real-time performance monitoring. It also includes the modeling and control of alternative configurations, such as electric machine drives with open-phase terminals and multiphase electrical machines. Additionally, it investigates alternative topologies of electronic converters for medium-voltage electric drives.

Renewable Energy and Power Systems Integration

In the context of renewable energy sources, this research line investigates the modeling, control, simulation, development, and construction of static converters for photovoltaic, wind, and energy storage systems, aiming at greater conversion efficiency, power density, power quality indicators, and reliability. It also examines the interaction between these sources and the power system (PS) and proposes and evaluates the different ancillary services these sources can provide to the PS. The resilience of these sources to voltage and frequency disturbances in the power system is also assessed, covering small, medium, and large-scale systems.

Smart Grids and Energy Management

This research line also includes studies on smart grids, focusing on the development of static converters, control techniques for disturbance compensation, intelligent energy management algorithms, communication systems and the Internet of Things (IoT), cloud monitoring platforms, reliability analysis, and fault detection and diagnosis methods.

Modeling and Computational Intelligence

Finally, this research line also encompasses the development of models for various systems and processes using nonlinear representations such as NARMAX, machine learning techniques, fuzzy systems, and agent-based models (ABMs). Additionally, it employs signal processing, computational intelligence, optimization, biomedical engineering, and electronic instrumentation approaches.

Última atualização: 18/02/2025