2016 · 25 citations · 13 references
EngineeringAutomotive EngineeringElectrical EngineeringOptimizationPower ElectronicsRenewable Energy SystemsController TuningEnergy Management StrategiesEnergy Management SystemsRenewable Energy Power ConversionSolar Energy SystemsSolar Photovoltaic SystemsFirefly AlgorithmFuzzy Logic Controller TuningFuzzy SetsMaximum Power Point TrackingMaximum Power Point Tracking AlgorithmsPareto Optimal SolutionPhotovoltaic System OptimizationSolar Photovoltaic Power Systems
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.
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