TY  - EJOU
AU  - Alrajhi, Hasan 

TI  - A Generalized State Space Average Model for Parallel DC-to-DC Converters
T2  - Computer Systems Science and Engineering

PY  - 2022
VL  - 41
IS  - 2
SN  - 

AB  - The high potentiality of integrating renewable energies, such as photovoltaic, into a modern electrical microgrid system, using DC-to-DC converters, raises some issues associated with controller loop design and system stability. The generalized state space average model (GSSAM) concept was consequently introduced to design a DC-to-DC converter controller in order to evaluate DC-to-DC converter performance and to conduct stability studies. This paper presents a GSSAM for parallel DC-to-DC converters, namely: buck, boost, and buck-boost converters. The rationale of this study is that modern electrical systems, such as DC networks, hybrid microgrids, and electric ships, are formed by parallel DC-to-DC converters with separate DC input sources. Therefore, this paper proposes a GSSAM for any number of parallel DC-to-DC converters. The proposed GSSAM is validated and investigated in a time-domain simulation environment, namely a MATLAB/SIMULINK. The study compares the steady-state, transient, and oscillatory performance of the state-space average model with a fully detailed switching model.
KW  - Parallel DC-to-DC converters; generalized state space average model; buck converters; boost converters; buck-boost converters

DO  - 10.32604/csse.2022.021279