TY - JOUR
T1 - Maximum power point tracking of photovoltaic panels by using improved pattern search methods
AU - Tobón, Andrés
AU - Peláez-Restrepo, Julián
AU - Villegas-Ceballos, Juan P.
AU - Serna-Garcés, Sergio Ignacio
AU - Herrera, Jorge
AU - Ibeas, Asier
PY - 2017/1/1
Y1 - 2017/1/1
N2 - © 2017 by the authors. Licensee MDPI, Basel, Switzerland. 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 and 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.
AB - © 2017 by the authors. Licensee MDPI, Basel, Switzerland. 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 and 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.
KW - Maximum power point tracking (MPPT)
KW - Optimization
KW - Particle swarm optimization (PSO)
KW - Pattern search method (PSM)
KW - Perturb and observe (PandO)
KW - Photovoltaic
KW - Sliding mode
U2 - https://doi.org/10.3390/en10091316
DO - https://doi.org/10.3390/en10091316
M3 - Article
SN - 1996-1073
VL - 10
JO - Energies
JF - Energies
M1 - 1316
ER -
