A novel beta parameter based fuzzy-logic controller for photovoltaic MPPT application

Xingshuo Li, Huiqing Wen*, Yihua Hu, Lin Jiang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

160 Citations (Scopus)

Abstract

In this paper, a novel beta parameter three-input one-output fuzzy-logic based maximum power point tracking (MPPT) algorithm is presented for the photovoltaic (PV) system application. The conventional fuzzy-logic controllers (FLCs) exhibit obvious limitations such as their dependence on the user's knowledge about the system and complicated rules. Furthermore, they show inherent dilemma between the rules number of FLC and the universality for various operating conditions, which is revealed and explained with details in this paper. Thus, a novel FLC is proposed by introducing a third input: an intermediate variable β. It can simplify the fuzzy rule membership functions and cover wider operating conditions. The dependence on the user's knowledge about the system is reduced. The converging speed for transients is improved and oscillations around the MPPs are completely eliminated compared with conventional MPPT methods. Typical operation conditions such as varying solar irradiation and load resistance are tested for fair comparison of various algorithms. An experimental prototype was designed and main experimental results were presented to verify the advantages of the proposed algorithm.

Original languageEnglish
Pages (from-to)416-427
Number of pages12
JournalRenewable Energy
Volume130
DOIs
Publication statusPublished - Jan 2019

Keywords

  • Beta parameter
  • Fuzzy logic controller(FLC)
  • Maximum power point tracking (MPPT)
  • Photovoltaic (PV) system
  • Zero oscillation

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