Improved particle swarm optimization based MPPT for PV systems under Partial Shading Conditions

Eduardo Avila, Nataly Pozo, Marcelo Pozo, Gabriel Salazar, Xavier Dominguez

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

12 Citas (Scopus)

Resumen

In this work, an improved Particle Swarm Optimization (PSO) algorithm is employed to perform the Maximum Power Point Tracking (MPPT) of a 1.2 MW Photovoltaic farm under Partial Shading Conditions (PSC). High efficiency, low complexity and reduced tracking time are the main features achieved by integrating the ability to ensure a Global Maximum Power Point (GMPP) operation provided by PSO and the fast convergence of Perturb and Observe (P&O) algorithm. In addition, Sliding-Mode Control (SMC) is used on a cascade scheme on the DC-DC power converters in order to achieve a suitable energy conversion. Thus, the design of the SMC is achieved by using the space state representation of the power converters. Finally, photovoltaic system performance is analyzed for different solar radiation profiles. The obtained results show the proper dynamic and steady-state responses.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2017 IEEE Southern Power Electronics Conference, SPEC 2017
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1-6
Número de páginas6
ISBN (versión digital)9781509064250
DOI
EstadoPublicada - 2 jul. 2017
Publicado de forma externa
Evento2017 IEEE Southern Power Electronics Conference, SPEC 2017 - Puerto Varas, Chile
Duración: 4 dic. 20177 dic. 2017

Serie de la publicación

NombreProceedings - 2017 IEEE Southern Power Electronics Conference, SPEC 2017
Volumen2018-January

Conferencia

Conferencia2017 IEEE Southern Power Electronics Conference, SPEC 2017
País/TerritorioChile
CiudadPuerto Varas
Período4/12/177/12/17

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