@Article{csse.2022.021279,
AUTHOR = {Hasan Alrajhi},
TITLE = {A Generalized State Space Average Model for Parallel DC-to-DC Converters},
JOURNAL = {Computer Systems Science and Engineering},
VOLUME = {41},
YEAR = {2022},
NUMBER = {2},
PAGES = {717--734},
URL = {http://www.techscience.com/csse/v41n2/45201},
ISSN = {},
ABSTRACT = {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.},
DOI = {10.32604/csse.2022.021279}
}