TY - JOUR
T1 - A Hybrid ANFIS-ABC Based MPPT Controller for PV System with Anti-Islanding Grid Protection
T2 - Experimental Realization
AU - Padmanaban, Sanjeevikumar
AU - Priyadarshi, Neeraj
AU - Bhaskar, Mahajan Sagar
AU - Holm-Nielsen, Jens Bo
AU - Ramachandaramurthy, Vigna K.
AU - Hossain, Eklas
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2019
Y1 - 2019
N2 - This paper introduces a novel control system with maximum power point tracker (MPPT) for the photovoltaic system with grid integration. Hybrid adaptive neuro-fuzzy inference system (ANFIS) and artificial bee colony (ABC) algorithm employed to optimize the membership function. Hence, for minimizing the root mean square error (RMSE), this controls the SEPIC-based MPPT algorithm to achieve rapid PV power tracking. The system performance is improved by fuzzy logic control (FLC), which generates the switching signal to the power switches of the inverter. A dSPACE (DS1104) control board employed for experimental validation of MPPT and inverter control strategies. The novelty of the proposed hybrid MPPT controller is the optimal tuning of ANFIS membership function with the ABC algorithm and been neither discussed before for PV power applications. The experimental responses completely validate the reliability of the PV grid integration with anti-islanding protection. The recentness of this research work is PV MPPT functioning using the hybrid ANFIS-ABC-based algorithm, been not described practically by any researchers in the past works.
AB - This paper introduces a novel control system with maximum power point tracker (MPPT) for the photovoltaic system with grid integration. Hybrid adaptive neuro-fuzzy inference system (ANFIS) and artificial bee colony (ABC) algorithm employed to optimize the membership function. Hence, for minimizing the root mean square error (RMSE), this controls the SEPIC-based MPPT algorithm to achieve rapid PV power tracking. The system performance is improved by fuzzy logic control (FLC), which generates the switching signal to the power switches of the inverter. A dSPACE (DS1104) control board employed for experimental validation of MPPT and inverter control strategies. The novelty of the proposed hybrid MPPT controller is the optimal tuning of ANFIS membership function with the ABC algorithm and been neither discussed before for PV power applications. The experimental responses completely validate the reliability of the PV grid integration with anti-islanding protection. The recentness of this research work is PV MPPT functioning using the hybrid ANFIS-ABC-based algorithm, been not described practically by any researchers in the past works.
KW - ANFIS-ABC
KW - dSPACE
KW - fuzzy logic controller
KW - MPPT
KW - photovoltaic
KW - SEPIC
UR - http://www.scopus.com/inward/record.url?scp=85073723863&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2019.2931547
DO - 10.1109/ACCESS.2019.2931547
M3 - Article
AN - SCOPUS:85073723863
VL - 7
SP - 103377
EP - 103389
JO - IEEE Access
JF - IEEE Access
M1 - 8779647
ER -
