Global MPPT of solar PV modules using a dynamic PSO algorithm under partial shading conditions

Mathew Walter Dunnigan; Duy  Huynh; Thoai Nguyen; Markus Mueller

doi:10.1109/CEAT.2013.6775614

Global MPPT of solar PV modules using a dynamic PSO algorithm under partial shading conditions

Mathew Walter Dunnigan, Duy Huynh, Thoai Nguyen, Markus Mueller

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

34 Citations (Scopus)

Abstract

This paper proposes a novel global maximum power point tracking (MPPT) strategy for solar photovoltaic (PV) modules under partial shading conditions using a dynamic particle swarm optimisation (PSO) algorithm. Solar PV modules have non-linear V-P characteristics with local maximum power points (MPPs) under partial shading conditions. In order to continuously harvest maximum power from solar PV modules, it always has to be operated at its global MPP which is determined using the proposed dynamic PSO algorithm. The obtained simulation results are compared with MPPs achieved using the standard PSO, and Perturbation and Observation (P&O) algorithms to confirm the effectiveness of the proposed algorithm under partial shading conditions.

Original language	English
Title of host publication	Clean Energy and Technology (CEAT), 2013 IEEE Conference on
Publisher	IEEE
Pages	134-139
Number of pages	6
ISBN (Print)	978-1-4799-3237-5
DOIs	https://doi.org/10.1109/CEAT.2013.6775614
Publication status	Published - 2013

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10.1109/CEAT.2013.6775614

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@inproceedings{8f9d01aafa824cb8af0ebfec3b0b4dbb,

title = "Global MPPT of solar PV modules using a dynamic PSO algorithm under partial shading conditions",

abstract = "This paper proposes a novel global maximum power point tracking (MPPT) strategy for solar photovoltaic (PV) modules under partial shading conditions using a dynamic particle swarm optimisation (PSO) algorithm. Solar PV modules have non-linear V-P characteristics with local maximum power points (MPPs) under partial shading conditions. In order to continuously harvest maximum power from solar PV modules, it always has to be operated at its global MPP which is determined using the proposed dynamic PSO algorithm. The obtained simulation results are compared with MPPs achieved using the standard PSO, and Perturbation and Observation (P&O) algorithms to confirm the effectiveness of the proposed algorithm under partial shading conditions.",

author = "Dunnigan, {Mathew Walter} and Duy Huynh and Thoai Nguyen and Markus Mueller",

year = "2013",

doi = "10.1109/CEAT.2013.6775614",

language = "English",

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TY - GEN

T1 - Global MPPT of solar PV modules using a dynamic PSO algorithm under partial shading conditions

AU - Dunnigan, Mathew Walter

AU - Huynh, Duy

AU - Nguyen, Thoai

AU - Mueller, Markus

PY - 2013

Y1 - 2013

N2 - This paper proposes a novel global maximum power point tracking (MPPT) strategy for solar photovoltaic (PV) modules under partial shading conditions using a dynamic particle swarm optimisation (PSO) algorithm. Solar PV modules have non-linear V-P characteristics with local maximum power points (MPPs) under partial shading conditions. In order to continuously harvest maximum power from solar PV modules, it always has to be operated at its global MPP which is determined using the proposed dynamic PSO algorithm. The obtained simulation results are compared with MPPs achieved using the standard PSO, and Perturbation and Observation (P&O) algorithms to confirm the effectiveness of the proposed algorithm under partial shading conditions.

AB - This paper proposes a novel global maximum power point tracking (MPPT) strategy for solar photovoltaic (PV) modules under partial shading conditions using a dynamic particle swarm optimisation (PSO) algorithm. Solar PV modules have non-linear V-P characteristics with local maximum power points (MPPs) under partial shading conditions. In order to continuously harvest maximum power from solar PV modules, it always has to be operated at its global MPP which is determined using the proposed dynamic PSO algorithm. The obtained simulation results are compared with MPPs achieved using the standard PSO, and Perturbation and Observation (P&O) algorithms to confirm the effectiveness of the proposed algorithm under partial shading conditions.

U2 - 10.1109/CEAT.2013.6775614

DO - 10.1109/CEAT.2013.6775614

M3 - Conference contribution

SN - 978-1-4799-3237-5

SP - 134

EP - 139

BT - Clean Energy and Technology (CEAT), 2013 IEEE Conference on

PB - IEEE

ER -

Global MPPT of solar PV modules using a dynamic PSO algorithm under partial shading conditions

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