Maximum Power Point Tracking Algorithm Development of Photovoltaic System by Fuzzy-Neuro Control

퍼지-뉴로 제어에 의한 PV 시스템의 MPPT 알고리즘 개발

  • 정철호 (순천대학교 정보통신공학부) ;
  • 고재섭 (순천대학교 정보통신공학부) ;
  • 최정식 (순천대학교 정보통신공학부) ;
  • 김도연 (순천대학교 정보통신공학부) ;
  • 정병진 (순천대학교 정보통신공학부) ;
  • 박기태 (순천대학교 정보통신공학부) ;
  • 정동화 (순천대학교 정보통신공학부)
  • Published : 2008.07.16

Abstract

The paper proposes a novel control algorithm for tracking maximum power of PV generation system. The maximum power of PV array is determinated by a insolation and temperature. Prior considered the term in PV generation system is how maximum power point is accurately tracked. The paper proposes a Fuzzy-Neuro control algorithm so as to accurately track those maximum power points. The proposed control algorithm comprises the antecedence part of fuzzy rule and clustering method, multi-layer neural network in the consequent part. Fuzzy-Neuro has the advantages which are depicted both high performance and robustness in Fuzzy control and high adaptive control in Neural Network. Specially, it can show the outstanding control performance for parameter variations appling to non-linear character of PV array. In paper, the tracking speed and the accuracy prove the validity through comparing a proposed algorithm with a conventional one.

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