TY - GEN
T1 - A Hybrid fuzzy logic controller-firefly algorithm (FLC-FA) based for MPPT photovoltaic (PV) system in solar car
AU - Ajiatmo, Dwi
AU - Robandi, Imam
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/3/3
Y1 - 2017/3/3
N2 - This paper propose Firefly Algorithm (FA) new method for tuning the membership function of fuzzy logic controller for Maximum Power Point Tracker (MPPT) system Photovoltaic solar car, that consist of hybrid Fuzzy Logic Controller - Firefly Algorithm (FLC-FA) for the parameter. There are many MPPT methods for photovoltaic (PV) system, Perturbation and Observation (PnO), fuzzy logic controller (FLC) standard, and hybrid Fuzzy logic controller firefly algorithm (FLC-FA) is compared in this paper. The proposed FLC-FA algorithm is to obtain the optimal solution for MPPT for photovoltaic (PV) systems for solar cars. The result Fuzzy logic controller firefly (FLC-FA) of the proposed method, the highest maximum strength and efficiency generated is PnO = 96.31%, Standard FLC = 99.88% and Proposed FLC-FA = 99.98%. better than PnO and Fuzzy logic controller standard method. The main advantage of the proposed FLC-FA is more efficient and accurate than the still fuzzy logic controller standard.
AB - This paper propose Firefly Algorithm (FA) new method for tuning the membership function of fuzzy logic controller for Maximum Power Point Tracker (MPPT) system Photovoltaic solar car, that consist of hybrid Fuzzy Logic Controller - Firefly Algorithm (FLC-FA) for the parameter. There are many MPPT methods for photovoltaic (PV) system, Perturbation and Observation (PnO), fuzzy logic controller (FLC) standard, and hybrid Fuzzy logic controller firefly algorithm (FLC-FA) is compared in this paper. The proposed FLC-FA algorithm is to obtain the optimal solution for MPPT for photovoltaic (PV) systems for solar cars. The result Fuzzy logic controller firefly (FLC-FA) of the proposed method, the highest maximum strength and efficiency generated is PnO = 96.31%, Standard FLC = 99.88% and Proposed FLC-FA = 99.98%. better than PnO and Fuzzy logic controller standard method. The main advantage of the proposed FLC-FA is more efficient and accurate than the still fuzzy logic controller standard.
KW - Fuzzy logic control
KW - Hybrid fuzzy logic controller and firefly algorithm
KW - Maximum power point tracking
KW - Photo voltaic system
UR - http://www.scopus.com/inward/record.url?scp=85017209730&partnerID=8YFLogxK
U2 - 10.1109/ICPRE.2016.7871149
DO - 10.1109/ICPRE.2016.7871149
M3 - Conference contribution
AN - SCOPUS:85017209730
T3 - 2016 IEEE International Conference on Power and Renewable Energy, ICPRE 2016
SP - 606
EP - 610
BT - 2016 IEEE International Conference on Power and Renewable Energy, ICPRE 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Power and Renewable Energy, ICPRE 2016
Y2 - 21 October 2016 through 23 October 2016
ER -
