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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Detalhes bibliográficos
Autores: Tobón, Andrés, Peláez-Restrepo, Julián, Villegas-Ceballos, Juan P., Serna-Garcés, Sergio Ignacio, Herrera, Jorge, Ibeas, Asier
Formato: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2017
País:Colombia
Recursos:Universidad de Bogotá Jorge Tadeo Lozano
Repositorio:Expeditio: repositorio UTadeo
OAI Identifier:oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/9060
Acesso em linha: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:acceso abierto
Palavra-chave: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
Descrição
Resumo: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.