Analysis of the different maximum power point tracking strategies in a load-connected photovoltaic system

Zhao Yuhan, Hooman Farzaneh

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

For the past few years, solar energy has been widely applied in renewable energy systems. Maximum Power Point Tracking (MPPT) indicates one of the essential techniques for enhancing the efficiency of photovoltaic (PV) systems. Therefore, a high-efficiency method that can be accurate and fast-track the maximum power point (MPP) of PV is eagerly desired. In this paper, four different MPPT methods are compared in MATLAB/Simulink, which include two conventional methods: Perturbation and observation (P&O) and Incremental conductance (INC), one advanced intelligent method: Fuzzy logic (FLC), and one improved fuzzy logic-based variable step INC (FL-INC). The goal of this study is to find the more superior MPPT. According to the simulation result, FL-INC can enhance the output power by more than 6%, reducing the convergence time with fewer oscillations.

Original languageEnglish
Pages (from-to)1-6
Number of pages6
JournalInternational Exchange and Innovation Conference on Engineering and Sciences
DOIs
Publication statusPublished - 2022
Event8th International Exchange and Innovation Conference on Engineering and Sciences, IEICES 2022 - Fukuoka, Japan
Duration: Oct 20 2022Oct 21 2022

All Science Journal Classification (ASJC) codes

  • General

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