Author, as appears in the article.: Diaz Martinez, David; Trujillo Codorniu, Rafael; Giral, Roberto; Vazquez Seisdedos, Luis;
Department: Enginyeria Electrònica, Elèctrica i Automàtica
URV's Author/s: Giral Castillon, Roberto
Keywords: Photovoltaic systems Photovoltaic cells Photovoltaic arrays Particle swarm optimization technique Particle swarm optimization (pso) Particle swarm optimization Partial shading effects Partial shading Maximum power point tracking Maximum power point trackers Matlab Inspired Global peak Evolutionary search Environmental conditions Conversion efficiency Characteristic curve Bio‐ Bio-inspired
Abstract: Even with significant progresses in the maximum power point (MPP) research area, the necessity to improve the existing methods becomes mandatory to increase the energy conversion efficiency. Since the power-voltage (P-V) characteristic curve of photovoltaic (PV) arrays has multiple peaks under partially shaded (PS) conditions, the conventional MPP tracking (MPPT) control methods have the difficult challenge of locate the global MPP (GMPP) among many local MPPs (LMPPs). In recent years, numerous research papers have been focused on techniques to efficiently track the GMPP and alleviate the partial shading effects. One of the most popular evolutionary search technique is particle swarm optimization (PSO) that provides high tracking speed and the ability operate under different environmental conditions. For solving some conventional PSO technique common weaknesses, several modifications and improvements have emerged in the past years. This paper provides a comparative and comprehensive review of some relevant PSO-based methods taking into account the effects of important key issues such as particles initialization criteria, search space, convergence speed, initial parameters, performance with and without partial shading, and efficiency. The simulation results are validated under numerous test conditions using MATLAB code and Simulink package.
Thematic Areas: Engineering, electrical & electronic Engenharias iv Electronic, optical and magnetic materials Electrical and electronic engineering Computer science applications Astronomia / física Applied mathematics
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: roberto.giral@urv.cat
Author identifier: 0000-0001-6582-6741
Record's date: 2023-02-19
Papper version: info:eu-repo/semantics/acceptedVersion
Link to the original source: https://onlinelibrary.wiley.com/doi/abs/10.1002/cta.2978
Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: International Journal Of Circuit Theory And Applications. 49 (7): 1849-1867
APA: Diaz Martinez, David; Trujillo Codorniu, Rafael; Giral, Roberto; Vazquez Seisdedos, Luis; (2021). Evaluation of particle swarm optimization techniques applied to maximum power point tracking in photovoltaic systems. International Journal Of Circuit Theory And Applications, 49(7), 1849-1867. DOI: 10.1002/cta.2978
Article's DOI: 10.1002/cta.2978
Entity: Universitat Rovira i Virgili
Journal publication year: 2021
Publication Type: Journal Publications
Repositori URV