Title :
Global MPPT of solar PV modules using a dynamic PSO algorithm under partial shading conditions
Author :
Huynh, Duy C. ; Nguyen, Thanh Minh ; Dunnigan, Matthew W. ; Mueller, M.A.
Author_Institution :
Univ. of Technol., Ho Chi Minh City, Vietnam
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.
Keywords :
maximum power point trackers; solar cells; MPPT; maximum power point tracking; nonlinear V-P characteristics; particle swarm optimisation; perturbation and observation algorithms; solar photovoltaic modules; Algorithm design and analysis; Arrays; Conferences; Heuristic algorithms; Maximum power point trackers; Photovoltaic systems; Standards; Solar photovoltaic modules; maximum power point tracking; partial shading conditions; particle swarm optimisation algorithm;
Conference_Titel :
Clean Energy and Technology (CEAT), 2013 IEEE Conference on
Conference_Location :
Lankgkawi
Print_ISBN :
978-1-4799-3237-5
DOI :
10.1109/CEAT.2013.6775614