Maximum power point tracking of solar photovoltaic panels using advanced perturbation and observation algorithm

Mathew Walter Dunnigan, Duy Huynh, Thoai Nguyen, Markus Mueller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Abstract

An efficient maximum power point tracking (MPPT) scheme is necessary to improve the efficiency of a solar photovoltaic (PV) panel. This paper proposes an advanced perturbation and observation (P&O) algorithm for tracking the maximum power point (MPP) of a solar PV panel. Solar PV cells have a non-linear V-I characteristic with a distinct MPP which depends on environmental factors such as temperature and irradiation. In order to continuously harvest maximum power from the solar PV panel, it always has to be operated at its MPP. The proposed P&O algorithm can reduce the main drawbacks commonly related to the P&O algorithm. This is achieved with determining the short-circuit current before each perturbation and observation stage. The obtained simulation results are compared with MPPs achieved using the conventional P&O algorithm under various atmospheric conditions. The results show that the advanced P&O algorithm is better than the conventional P&O algorithms for tracking MPPs of solar PV panels. Additionally, it is simple and can be easily implemented in digital signal processor (DSP).
Original languageEnglish
Title of host publicationIndustrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
PublisherIEEE
Pages864-869
Number of pages6
ISBN (Print)978-1-4673-6320-4
Publication statusPublished - 2013

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