Performance Analysis of Maximum Power Point Tracking Algorithms Under Varying Irradiation

*Bhukya Krishna Naick  -  Indian Institute of Technology (ISM), Dhanbad, jharkhand, India. 826004., India
Tarun Kumar Chatterjee  -  Indian Institute of Technology (ISM), India
Kalyan Chatterjee  -  Indian Institute of Technology (ISM), India
Published: 22 Mar 2017.
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Performance Analysis of Maximum Power Point Tracking Algorithms Under Varying Irradiation
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Open Access Copyright (c) 2017 International Journal of Renewable Energy Development

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Section: Original Research Article
Language: EN
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Photovoltaic (PV) system is one of the reliable alternative sources of energy and its contribution in energy sector is growing rapidly. The performance of PV system depends upon the solar insolation, which will be varying throughout the day, season and year. The biggest challenge is to obtain the maximum power from PV array at varying insolation levels. The maximum power point tracking (MPPT) controller, in association with tracking algorithm will act as a principal element in driving the PV system at maximum power point (MPP). In this paper, the simulation model has been developed and the results were compared for perturb and observe, incremental conductance, extremum seeking control and fuzzy logic controller based MPPT algorithms at different irradiation levels on a 10 KW PV array. The results obtained were analysed in terms of convergence rate and their efficiency to track the MPP.

Article History: Received 3rd Oct 2016; Received in revised form 6th January 2017; Accepted 10th February 2017; Available online

How to Cite This Article: Naick, B. K., Chatterjee, T. K. & Chatterjee, K. (2017) Performance Analysis of Maximum Power Point Tracking Algorithms Under Varying Irradiation. Int Journal of Renewable Energy Development, 6(1), 65-74.

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Keywords: Photovoltaic system, MPPT algorithms, perturb and observe, incremental conductance, scalar gradient extremum seeking control, fuzzy logic controller.

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