Improved PSO: A Comparative Study in MPPT Algorithm for PV System Control under Partial Shading Conditions

Autor:	Wafa Hayder, Emanuele Ogliari, Alberto Dolara, Aycha Abid, Mouna Ben Hamed, Lasaad Sbita
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	maximum power point tracking (MPPT) particle swarm optimization algorithm (PSO) photovoltaic (PV) Technology
Zdroj:	Energies, Vol 13, Iss 8, p 2035 (2020)
Druh dokumentu:	article
ISSN:	13082035 1996-1073
DOI:	10.3390/en13082035
Popis:	This paper deals with the implementation and analysis of a new maximum power point tracking (MPPT) control method, which is tested under variable climatic conditions. This new MPPT strategy has been created for photovoltaic systems based on Particle Swarm Optimization (PSO). The novel Improved Particle Swarm Optimization (IPSO) algorithm is tested in several simulations which have been implemented in view of the various system responses such as: voltage, current, and power. The performances of the proposed IPSO algorithm have been completed and compared with results of well-established methods adopted in the literature showing a higher accuracy.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/e9f5c4bd0daa4e0aaab3d230698bfe03 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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