Study on controllability assessment of a new type of power system based on lagrangian function integrated assessment method
Authors (first, second and last of 4)
Collection
Engineering: Artificial Intelligence in Power Electronics Systems
Nowadays, technologies of power electronics and artificial intelligence are converging, and combined, they have the potential to revolutionize various aspects of the energy sector. Artificial intelligence is being incorporated into power electronics aiming to boost efficiency, smart management, reliability, and sustainability. In particular, the artificial intelligence techniques of machine learning and deep learning are assuming predominance in the industrial power electronic systems due to the possibility of predictive maintenance, fault detection, and real-time optimization. Regarding power electronics converters, the techniques and dedicated algorithms of artificial intelligence can be used to establish a more intelligent control of the switching devices targeting to optimize the overall performance of the converters, also helping to design more robust and high-density power electronics converters (e.g., covering aspects in the PCB design, in the selection of dedicated components, and in the optimization of coupling filters). In addition, artificial intelligence can also be used in power electronics converters applied to technologies of renewable energy systems, aiming to optimize the output power production and the power grid integration, as well as to contribute to establish a dynamic balance among supply and demand, while maximizing energy production. In the power grid side, artificial intelligence also plays a vital role for enhancing stability and power quality, offering the possibility of real-time monitoring and control, as well as better resilience during disturbances. It is objective of this Topical Collection to address present and future technologies of artificial intelligence for power electronics, attracting original contributions from academic researchers, Ph.D. students, and professional communities.
Editors
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Vitor Monteiro
Vitor Monteiro, PhD, University of Minho, Portugal. Vitor Monteiro received the Ph.D. degree in Power Electronics and Energy Systems in 2016, and the M.Sc. in Industrial Electronics and Computer Engineering in 2010, both from the University of Minho, Portugal. Currently, he is an Assistant Professor at the Department of Industrial Electronics, School of Engineering, University of Minho, Portugal. His research activity has been developed at the Group of Energy and Power Electronics (GEPE) of the Centro ALGORITMI, University of Minho, in the fields of industrial and power electronics, electric mobility, renewables, and power quality.
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João L. Afonso
João L. Afonso, PhD, University of Minho, Portugal. João L. Afonso is Full Professor of the Department of Industrial Electronics, of the Engineering School, at the University of Minho, in Portugal. He has been with the Department of Industrial Electronics of the University of Minho since 1993. He is coordinator and researcher with the Group of Energy and Power Electronics (GEPE. His research interests include Power Electronics technologies applied to Power Quality, Active Power Filters, Renewable Energy, Electric Vehicles, Energy Efficiency, Energy Storage Systems, Innovative Railway Systems, Smart Grids, Smart Cities and Aerospace.
