Design and implementation of a FLC-based MPPT technique for photovoltaic systems

Jia Wei Huang*, Chun Liang Liu, Rong Ceng Leou, Yi Hua Liu

*Corresponding author for this work

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

7 Scopus citations

Abstract

Photovoltaic (PV) energy is one of the most important renewable energy sources since it is clean, free and inexhaustible. To improve the conversion efficiency, a maximum power point tracking (MPPT) technique which has quick response and is able to track the peak power generated in any weather condition is required. In this paper, a novel Fuzzy Logic Controller (FLC) based MPPT technique for PV system is proposed. The proposed method can automatically adjust the step size to track the PV panel maximum power point (MPP). Comparing with the conventional fixed step size P&O method, the proposed approach can effectively address the tradeoff between the dynamics and steady state oscillations simultaneously. The design and implementation of the proposed method will be provided in this paper. Finally, simulation and experimental results will be provided to validate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationTENCON 2011 - 2011 IEEE Region 10 Conference
Subtitle of host publicationTrends and Development in Converging Technology Towards 2020
Pages903-907
Number of pages5
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011 - Bali, Indonesia
Duration: 21 11 201124 11 2011

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON

Conference

Conference2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011
Country/TerritoryIndonesia
CityBali
Period21/11/1124/11/11

Keywords

  • Fuzzy Logic Controller
  • MPP
  • photovoltaic systems

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