A fuzzy logic controller with beta parameter for maximum power point tracking of Photovoltaic systems

Xingshuo Li, Huiqing Wen

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

3 Citations (Scopus)

Abstract

This paper presents a fuzzy logic controller(FLC) for maximum power point tracking (MPPT) of Photovoltaic (PV) systems. Unlike the conventional FLC methods, which generally have two inputs parameters for the FLC, the proposed FLC method has three input parameters. An intermediate variable beta is integrated into the proposed FLC method, which can simplify the design of FLC. Moreover, converging speed and oscillation are further improved by the proposed method. A comparison between the proposed FLC and the conventional MPPT methods are conducted during varying solar irradiation levels. Simulation and experimentation results are provided to demonstrates the validity of the proposed FLC.

Original languageEnglish
Title of host publication2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1550-1555
Number of pages6
ISBN (Electronic)9781509012107
DOIs
Publication statusPublished - 13 Jul 2016
Event8th IEEE International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016 - Hefei, China
Duration: 22 May 201626 May 2016

Publication series

Name2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016

Conference

Conference8th IEEE International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016
Country/TerritoryChina
CityHefei
Period22/05/1626/05/16

Keywords

  • Maximum power point tracking (MPPT)
  • beta parameter
  • fuzzy logic controller(FLC)
  • photovoltaic (PV) system

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