TY - GEN
T1 - New MPPT algorithm based on hybrid dynamical theory
AU - Elmetennani, Shahrazed
AU - Laleg-Kirati, Taous-Meriem
AU - Benmansour, K.
AU - Boucherit, M. S.
AU - Tadjine, M.
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2014/11
Y1 - 2014/11
N2 - This paper presents a new maximum power point tracking algorithm based on the hybrid dynamical theory. A multiceli converter has been considered as an adaptation stage for the photovoltaic chain. The proposed algorithm is a hybrid automata switching between eight different operating modes, which has been validated by simulation tests under different working conditions. © 2014 IEEE.
AB - This paper presents a new maximum power point tracking algorithm based on the hybrid dynamical theory. A multiceli converter has been considered as an adaptation stage for the photovoltaic chain. The proposed algorithm is a hybrid automata switching between eight different operating modes, which has been validated by simulation tests under different working conditions. © 2014 IEEE.
UR - http://hdl.handle.net/10754/565005
UR - http://ieeexplore.ieee.org/document/7059958/
UR - http://www.scopus.com/inward/record.url?scp=84949925412&partnerID=8YFLogxK
U2 - 10.1109/EFEA.2014.7059958
DO - 10.1109/EFEA.2014.7059958
M3 - Conference contribution
SN - 9781479975174
BT - 3rd International Symposium on Environmental Friendly Energies and Applications (EFEA)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -