Performance Analysis of Maximum Power Point Tracking Algorithms Under Varying Irradiation

DOI: https://doi.org/10.14710/ijred.6.1.65-74

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Article Info
Submitted: 21-02-2017
Published: 22-03-2017
Section: Articles
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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.

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

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.

http://dx.doi.org/10.14710/ijred.6.1.65-74

Keywords

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

  1. Bhukya Krishna Naick 
    Indian Institute of Technology (ISM), Dhanbad, jharkhand, India. 826004., India
    Department of Electrical Engineering
  2. Tarun Kumar Chatterjee 
    Indian Institute of Technology (ISM), India
    Department of Mining Machinery Engineering
  3. Kalyan Chatterjee 
    Indian Institute of Technology (ISM), India
    Department of Electrical Engineering
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