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Maximum Power Point Tracking of Photovoltaic Panels by Using Improved Pattern Search Methods

descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 01 Sep 2017 Colombia, Colombia, Spain Publisher:MDPI AGJournal:Energies, volume 10, page 1,316 (eissn: 1996-1073,

Authors: Andrés Tobón; Julián Peláez-Restrepo; Juan Villegas-Ceballos; Sergio Serna-Garcés; Jorge Herrera; Asier Ibeas;

doi: 10.3390/en10091316

handle: 20.500.12010/9060

Maximum Power Point Tracking of Photovoltaic Panels by Using Improved Pattern Search Methods

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Abstract

This paper deals with the optimization of maximum power point tracking when a photovoltaic panel is modelled as two diodes. The adopted control is implemented using a sliding mode control (SMC) and the optimization is implemented using an improved Pattern Search Method. Thus, the problem of maximum power point tracking is reduced to an optimization problem whose solution is implemented by Pattern Search Techniques, inheriting their convergence properties. Simulation examples show the effectiveness of the proposed technique in practice, being able to deal with different radiations. In addition, improved pattern search method (IPSM) is compared with other techniques such as perturb & observe and Particle Swarm optimization, after which IPSM presents lower energy losses in comparison with the other two algorithms, with the advantage of ensuring the location of the optimal power point in all cases.

Countries

Colombia, Colombia, Spain

Related Organizations

Autonomous University of Barcelona
Spain
Instituto Tecnológico Metropolitano
Colombia
Universidad de Bogotá Jorge Tadeo Lozano
Colombia
Instituto Tecnológico Metropolitano
Colombia
Universidad de Bogotá Jorge Tadeo Lozano
Colombia

Keywords

Optimization, Technology, O), photovoltaic, Células fotovoltaicas, maximum power point tracking (MPPT), particle swarm optimization (PSO), perturb and observe (P&amp, Conversión directa de energía, T, sliding mode, Pattern search method (PSM), Maximum power point tracking (MPPT), Perturb and observe (P&O), pattern search method (PSM), Particle swarm optimization (PSO), maximum power point tracking (MPPT); particle swarm optimization (PSO); perturb and observe (P&O); pattern search method (PSM); photovoltaic; optimization; sliding mode, optimization, Photovoltaic, Sliding mode

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	43
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%