Maximum power point tracking of photovoltaic panels by using improved pattern search methods

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...

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Bibliographic Details
Authors: Tobón, Andrés, Peláez-Restrepo, Julián, Villegas-Ceballos, Juan P., Serna-Garcés, Sergio Ignacio, Herrera, Jorge, Ibeas, Asier
Format: article
Status:Versión aceptada para publicación
Publication Date:2017
Country:Colombia
Institution:Universidad de Bogotá Jorge Tadeo Lozano
Repository:Expeditio: repositorio UTadeo
OAI Identifier:oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/9060
Online Access:https://www.researchgate.net/publication/319441089_Maximum_Power_Point_Tracking_of_Photovoltaic_Panels_by_Using_Improved_Pattern_Search_Methods
http://hdl.handle.net/20.500.12010/9060
Access Level:Open access
Keyword:Maximum power point tracking (MPPT)
Particle swarm optimization (PSO)
Perturb and observe (P&O)
Pattern search method (PSM)
Photovoltaic
Optimization
Sliding mode
Células fotovoltaicas
Conversión directa de energía
Description
Summary: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.