TY - GEN
T1 - An Adaptive Neuro-Fuzzy Inference System Employed Cuk Converter for PV Applications
AU - Priyadarshi, Neeraj
AU - Padmanaban, Sanjeevikumar
AU - Holm-Nielsen, Jens Bo
AU - Ramachandaramurthy, Vigna K.
AU - Bhaskar, Mahajan Sagar
PY - 2019
Y1 - 2019
N2 - An Adaptive Neuro-Fuzzy Inference System based Intelligent Algorithm for Photovoltaic (PV) application proposed in this paper. Under the nonlinear behavior of the surroundings, the proposed algorithm achieves optimal power point (OPP) without prior system knowledge. Compared with other intelligent methodologies, the proposed algorithm has low implementation cost, as it does not need any sensors to measure solar irradiance. The proposed algorithm provides proper training to the PV system under varying PV insolation. Modeled Cuk converter employed PV system is validate by simulated responses present in the paper. Inverter with Fuzzy logic control (FLC)-dSPACE board is also implement for sinusoidal current injection to the utility grid.
AB - An Adaptive Neuro-Fuzzy Inference System based Intelligent Algorithm for Photovoltaic (PV) application proposed in this paper. Under the nonlinear behavior of the surroundings, the proposed algorithm achieves optimal power point (OPP) without prior system knowledge. Compared with other intelligent methodologies, the proposed algorithm has low implementation cost, as it does not need any sensors to measure solar irradiance. The proposed algorithm provides proper training to the PV system under varying PV insolation. Modeled Cuk converter employed PV system is validate by simulated responses present in the paper. Inverter with Fuzzy logic control (FLC)-dSPACE board is also implement for sinusoidal current injection to the utility grid.
KW - Photovoltaic systems
KW - Fuzzy logic
KW - Maximum power point trackers
KW - Adaptive systems
KW - Inference algorithms
KW - Computer architecture
UR - https://ieeexplore.ieee.org/document/8862398/
U2 - 10.1109/CPE.2019.8862398
DO - 10.1109/CPE.2019.8862398
M3 - Article in proceeding
SN - 978-1-7281-3203-7
T3 - International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG). Proceedings.
BT - 2019 IEEE 13th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)
PB - IEEE
T2 - 2019 IEEE 13th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)
Y2 - 23 April 2019 through 25 April 2019
ER -