조명전기설비학회논문지 (Journal of the Korean Institute of Illuminating and Electrical Installation Engineers)

  • 제29권2호
  • /
  • Pages.27-32
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  • 2015
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  • 1229-4691(pISSN)
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  • 2287-5034(eISSN)
한국조명전기설비학회 (The Korean Institute of IIIuminating and Electrical Installation Engineers)
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퍼지 제어기를 이용한 PV 시스템의 ANN 기반 최대전력점 추적

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

  • Ko, Jae-Sub (Dept. of Electrical Control Engineering, Sunchon National University) ;
  • Chung, Dong-Hwa (Dept. of Electrical Control Engineering, Sunchon National University)
  • 투고 : 2014.08.13
  • 심사 : 2014.12.12
  • 발행 : 2015.02.28
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초록

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.

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참고문헌

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  5. Lixia Sun, Zheng dan dan, Fengling Han, "Study on MPPT Approach in Photovoltaic System Based on Fuzzy Control" ICIEA, 2013.
  6. D. K. Sharma, G. Purohit, "Advanced Perturbation and Observation (P&O) based Maximum Power Point Tracking (MPPT) of a Solar Photo-Voltaic System" IICPE, 2012.