FET-Based Numerical Modeling of a Self-Excited Induction Generator Driven by a Controlled DC Motor
Abstract
In this paper, a new and non-traditional approach is proposed for modeling a selfexcited induction generator (SEIG) driven by a controlled DC motor. The algorithm used in this paper is based on a modified finite element technique (FET) and the trapezoidal rule time integration. Unlike the conventional FET-based models, in the proposed numerical model, addition of equations is avoided and the global set of equations is solved iteratively. A MATLABSimulink model of the system is developed for comparison.
Slavko Vujević
Professor Emeritus
An expert in electrical engineering, particularly known for his contributions to numerical modeling of electromagnetic phenomena, lightning protection, and grounding. Throughout his career, he was a key member of the Faculty of Electrical Engineering, Mechanical Engineering, and Naval Architecture in Split, where he taught, mentored students, and actively participated in scientific research and international professional organizations.
Mateo Bašić
Full Professor | Department of Power Electronics and Control
Full professor at the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture in Split, with recent research interests related to the fields of power electronics and renewable energy sources, with a special focus on energy-efficient control of inverters, battery systems, wind turbines, photovoltaic sources and self-excited induction generators in microgrids - both in island operation and in grid-tie operation.
Dinko Vukadinović
Full Professor | Department of Power Electronics and Control
Full professor at the Faculty of Electrical Engineering, Mechanical Engineering, and Naval Architecture in Split, specialized in modern control systems for power electronic converters, electric motors, and generators. At the Power Electronics Research Laboratory, he leads experimental projects and develops advanced methods for regulating electrical machines and converters, while supervising doctoral research in these areas.