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Evaluation of particle swarm optimization techniques applied to maximum power point tracking in photovoltaic systems

  • Identification data

    Identifier: imarina:9177877
    Authors:
    Diaz Martinez, DavidTrujillo Codorniu, RafaelGiral, RobertoVazquez Seisdedos, Luis
    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.
  • Others:

    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: 2024-07-27
    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: https://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
  • Keywords:

    Applied Mathematics,Computer Science Applications,Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials,Engineering, Electrical & Electronic
    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
    Engineering, electrical & electronic
    Engenharias iv
    Electronic, optical and magnetic materials
    Electrical and electronic engineering
    Computer science applications
    Astronomia / física
    Applied mathematics
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