ANN-based Maximum Power Point Tracking of PV System using Fuzzy Controller

퍼지 제어기를 이용한 PV 시스템의 ANN 기반 최대전력점 추적

Ko, Jae-Sub;Chung, Dong-Hwa

  • Received : 2014.08.13
  • Accepted : 2014.12.12
  • Published : 2015.02.28


A maximum power point tracking (MPPT) algorithm using fuzzy controller was considered. MPPT method was implemented based on the voltage and reference PV voltage value was obtained from Artificial Neural Network (ANN)-model of PV modules. Therefore, measuring only the PV module voltage is adequate for MPPT operation. Fuzzy controller is used to directly control dc-dc buck converter. The simulation results have been used to verify the effectiveness of the algorithm. The proposed method is compared with conventional PO(perturbation & observation), IC(Incremental Conductance) method. The nonlinearity and adaptiveness of fuzzy controller provided good performance under parameter variations such as solar irradiation.


MPPT;ANN;Fuzzy Controller;PV System


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Supported by : 한국연구재단