Rok 2024

• Advancing Solar Energy: Machine Learning Approaches for Predicting Photovoltaic Power Output

  Publikacja

  • K. Nassereddine
  • M. Turzyński
  • M. Lukianov
  • R. Strzelecki

  - Rok 2024

  This research is primarily concentrated on predicting the output of photovoitaic power, an essential field in the study of renewable energy. The paper comprehensively reviews various forecasting methodologies, transitioning from conventional physical and statistical methods to advanced machine learning (ML) techniques. A significant shift has been observed from traditional point forecasting to machine learning-based forecasting...

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• Partially Isolated Multi-Active Bridge DC-DC Converter with Bidirectional EV Charging Ports

  Publikacja

  • M. Lukianov
  • E. R. Cadaval
  • G. Arena
  • R. Strzelecki

  - Rok 2024

  There is a growing interest in multiport converters due to their ability to interconnect various energy sources and loads using reduced number of components. Regarding electric vehicle (EV) chargers connection, existing multiport solutions either lack scalability, featuring only one isolated charging port or the operation of ports depend on each other, complicating the converter control algorithm. This article proposes a partially...

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Rok 2023

• An Overview of Bidirectional EV Chargers: Empowering Traction Grid-Powered Chargers

  Publikacja

  • M. Lukianov
  • I. Verbitsky
  • R. Strzelecki
  • E. Romero-Cadaval

  - Rok 2023

  In recent years, the number of electric vehicles has been at least doubling year after year. As a result, today electric vehicles already account for approximately 10% of the global automotive market, which positively affects environment in urbanized areas. However, to take full advantage of the EV integration it is necessary to use renewable sources for their charging; optimally place charging stations/terminals; optimally manage...

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• Key activities to improve energy management in DC microgrids connected by urban traction

  Publikacja

  • K. Nassereddine
  • M. Turzyński
  • M. Lukianov
  • N. Strzelecka

  - Przegląd Elektrotechniczny - Rok 2023

  DC MicroGrids must have Energy Management Systems to guarantee efficient, dependable, and environmentally friendly electricity. The application of Model Predictive Control, proved to be helpful due to its adaptability and capacity to use non-linear models. This paper, based on an extensive literature review, identifies and discusses the three key activities to improve the characteristics of DC MicroGrids, i.e.: the use of Energy...

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• Power converter interface for urban DC traction substations - solutions and functionality.

  Publikacja

  • M. Lukianov
  • I. Verbytskyi
  • N. Strzelecka
  • R. Strzelecki

  - Przegląd Elektrotechniczny - Rok 2023

  This paper focuses on extending an urban DC traction substation functionality by means of an additional power converter interface (PCI). In particular, by enabling bidirectional energy exchange between LV DC traction grid, AC grid and V2G chargers. Among other things, the presented material compares general attributes of the most promising DC/DC converters that can be used in a PCI, meet the requirements of galvanic isolation and...

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