Maximum Power Point Tracking of Photovoltaic Panels by Using Improved Pattern Search Methods
by
Andrés Tobón 1, Julián Peláez-Restrepo 1
, Juan P. Villegas-Ceballos 1, Sergio Ignacio Serna-Garcés 1, Jorge Herrera 2,* and Asier Ibeas 2,3
Andrés Tobón 1, Julián Peláez-Restrepo 1, Juan P. Villegas-Ceballos 1, Sergio Ignacio Serna-Garcés 1, Jorge Herrera 2,* and Asier Ibeas 2,3
1
Departamento de Electrónica y Telecomunicaciones, Facultad de Ingenierías, Instituto Tecnológico Metropolitano, Medellín, Antioquia, Colombia
2
Departamento de Ingeniería, Facultad de Ciencias Naturales e Ingeniería, Universidad de Bogotá Jorge Tadeo Lozano, Bogotá, Distrito Capital, Colombia
3
Departament de Telecomunicació i d’Enginyeria de Sistemes, Escola d’Enginyeria Universitat Autònoma de Barcelona (UAB), Bellaterra, Cerdanyola del Vallés, 08193 Barcelona, Spain
*
Author to whom correspondence should be addressed.
Energies 2017, 10(9), 1316; https://doi.org/10.3390/en10091316
Received: 12 June 2017 / Revised: 25 July 2017 / Accepted: 21 August 2017 / Published: 1 September 2017
(This article belongs to the Section Energy Fundamentals and Conversion)
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.
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Keywords:
maximum power point tracking (MPPT); particle swarm optimization (PSO); perturb and observe (P&O); pattern search method (PSM); photovoltaic; optimization; sliding mode
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MDPI and ACS Style
Tobón, A.; Peláez-Restrepo, J.; Villegas-Ceballos, J.P.; Serna-Garcés, S.I.; Herrera, J.; Ibeas, A. Maximum Power Point Tracking of Photovoltaic Panels by Using Improved Pattern Search Methods. Energies 2017, 10, 1316.
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