Maximum Power Point Tracking Using an Adaptive Perturbation and Observation Algorithm For A Grid-Connected Solar Photovoltaic System

Duy C. Huynh; Matthew W. Dunnigan

doi:10.14257/ijgdc.2015.8.3.10

Maximum Power Point Tracking Using an Adaptive Perturbation and Observation Algorithm For A Grid-Connected Solar Photovoltaic System

Duy C. Huynh, Matthew W. Dunnigan

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

This paper proposes an adaptive perturbation and observation (P&O) algorithm for maximum power point tracking (MPPT) control strategy of a grid connected solar photovoltaic (PV) system under varying atmospheric conditions. This strategy is necessary in order to extract maximum power output from a solar PV panel. The adaptive P&O algorithm is proposed to utilize a variable perturbation step size which depends on power changes. The obtained simulation results are compared with those using the conventional P&O algorithm, which show the effectiveness of the proposed MPPT algorithm in the MPPT of a grid-connected solar PV system.

Original language	English
Pages (from-to)	97-110
Number of pages	14
Journal	International Journal of Grid and Distributed Computing
Volume	8
Issue number	3
DOIs	https://doi.org/10.14257/ijgdc.2015.8.3.10
Publication status	Published - 30 Jun 2015

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abstract = "This paper proposes an adaptive perturbation and observation (P&O) algorithm for maximum power point tracking (MPPT) control strategy of a grid connected solar photovoltaic (PV) system under varying atmospheric conditions. This strategy is necessary in order to extract maximum power output from a solar PV panel. The adaptive P&O algorithm is proposed to utilize a variable perturbation step size which depends on power changes. The obtained simulation results are compared with those using the conventional P&O algorithm, which show the effectiveness of the proposed MPPT algorithm in the MPPT of a grid-connected solar PV system.",

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AB - This paper proposes an adaptive perturbation and observation (P&O) algorithm for maximum power point tracking (MPPT) control strategy of a grid connected solar photovoltaic (PV) system under varying atmospheric conditions. This strategy is necessary in order to extract maximum power output from a solar PV panel. The adaptive P&O algorithm is proposed to utilize a variable perturbation step size which depends on power changes. The obtained simulation results are compared with those using the conventional P&O algorithm, which show the effectiveness of the proposed MPPT algorithm in the MPPT of a grid-connected solar PV system.

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Maximum Power Point Tracking Using an Adaptive Perturbation and Observation Algorithm For A Grid-Connected Solar Photovoltaic System

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